Overview
Summary
The useful answer before the supporting detail.
Prefect is a workflow orchestration platform for data, ML, and agents S45. It is used by data engineers and platform teams to build, observe, and react to workflows, solving the problem of unreliable data pipelines S153. Its practical value is turning Python functions into durable, observable workflows with minimal code, reducing the need for custom cron-and-Slack monitoring stacks S45.
Product identity and positioning
Name, category, positioning, audience, and first-party claims.
- Identity: Prefect is a workflow orchestration platform for data, ML, and agents S45.
- Core purpose: It solves the problem of unreliable data pipelines by making workflows durable and observable S45.
- Intended users: Data engineers, data scientists, and platform teams S153.
- Product scope: Prefect is a platform that includes Prefect Cloud, an open-source framework, and FastMCP for building MCP servers S45.
- Positioning: Prefect positions itself as the standard for workflow orchestration, emphasizing simplicity and resilience S45.
- Claimed distinction: Prefect claims to be different from Airflow by offering a simpler, more flexible approach S45.
Use cases and audiences
Who the product serves and the jobs it is designed to handle.
| Audience | Practical use case |
|---|---|
| Data engineers | Orchestrate Python workflows in production on Prefect Cloud S29. |
| Platform teams | Create a custom platform for developers to build and observe workflows S153. |
| Data scientists | Build and scale ML workflows with flexibility S45. |
| AI/agent developers | Build MCP servers to connect agents to tools and data S45. |
Traffic and search
SEO analysis
Collected Oct 23, 2026prefect.io: an estimated 111,975 total monthly visits and about 8,331 monthly organic visits across 778 ranking keywords. Scout crawled 15 pages and measured a technical health score of 96/100.
Search summary
The useful answer before the supporting detail.
Orchestrate workflows with Prefect. Connect AI agents to your tools and data with FastMCP Gateway. prefect.io: an estimated 111,975 total monthly visits and about 8,331 monthly organic visits across 778 ranking keywords. Scout crawled 15 pages and measured a technical health score of 96/100.
- Total traffic (modeled): 111,975 monthly visits across all channels.
- Organic search traffic (estimated): 8,331 monthly visits from search.
- Strongest sampled ranking: prefect at position 1.
- Leading page in the collected evidence: https://www.prefect.io/.
- Closest measured organic competitor: en.wikipedia.org, appearing 2 times in the sampled first-page SERPs.
- Technical crawl: 15 pages, health score 96/100.
Website intelligence — Collected evidence
Company identity and positioning
| Page type | Evidence | Source |
|---|---|---|
| other | Orchestrate workflows with Prefect. Connect AI agents to your tools and data with FastMCP Gateway. Open-source foundations, production-ready platforms. | https://www.prefect.io/ |
| identity | See every open role at Prefect. We're remote first and have carefully created a supportive, high-performance culture. | https://www.prefect.io/careers |
| identity | Defining automation for the context era. We build intelligent infrastructure that powers 100K+ mission critical workflows every minute for teams worldwide. | https://www.prefect.io/company |
| identity | Learn how teams run production workflows on Prefect Cloud and deploy AI agents on FastMCP Gateway. Talk to our sales team. | https://www.prefect.io/contact-sales |
| other | Durable orchestration for data, ML, and agents. | https://www.prefect.io/ |
| other | Looking for managed MCP? Visit FastMCP Gateway | https://www.prefect.io/ |
| other | Cash AppCase study →KeplerCase study →SpareBank 1Case study →EndpointCase study →Washington NationalsCase study →WHOOPCase study →Seven.One EntertainmentCase study → | https://www.prefect.io/ |
| other | Theory VenturesCase study →Flatiron HealthCase study →RampCase study → | https://www.prefect.io/ |
| other | Teams ship faster on Prefect | https://www.prefect.io/ |
| other | From startups to enterprises, teams trust Prefect with the workflows their businesses depend on. | https://www.prefect.io/ |
| other | ](/customers/ramp) | https://www.prefect.io/ |
| other | ](/customers/whoop) | https://www.prefect.io/ |
Domain performance
Modeled total traffic, six-month trend, engagement, countries, and domain identity.
Total website traffic
Six-month trafficModeled monthly visits
Monthly visits111,975
Global rank#318,555
Top-country rankUS #238,463
Bounce rate41.5%
Pages per visit2.67
Visit duration41s
| Month | Modeled visits |
|---|---|
| 2026-04 | 163,040 |
| 2026-05 | 174,951 |
| 2026-06 | 171,424 |
| 2026-07 | 141,490 |
| 2026-08 | 103,280 |
| 2026-09 | 111,975 |
Top visitor countries
| Country | Name | Traffic share |
|---|---|---|
| US | United States | 18.7% |
| IN | India | 7.4% |
| DE | Germany | 6.4% |
| VN | Vietnam | 4.6% |
| BR | Brazil | 4.4% |
18.7%United States
United States18.7%India7.4%Germany6.4%Vietnam4.6%Brazil4.4%Other58.5%
Domain identity
| Signal | Value |
|---|---|
| Registered | Mar 25, 2017 |
| Last changed | Aug 12, 2026 |
| Expires | Mar 25, 2027 |
| WHOIS server | whois.nic.io |
| DNSSEC | — |
| Nameservers | ns-cloud-b1.googledomains.com, ns-cloud-b2.googledomains.com, ns-cloud-b3.googledomains.com, ns-cloud-b4.googledomains.com |
Website capture
Organic keywords
Top keywords and an independent Google result page.
Top organic keywords
| Keyword | Volume | CPC | Estimated value |
|---|---|---|---|
| prefect | 25,310 | $2.53 | $6,900 |
| mcp server | 133,800 | $3.90 | $540 |
| fastmcp | 18,560 | $2.58 | $520 |
| prefect how to verify email | 190 | $0.00 | $370 |
| prefect python | 930 | $3.74 | $360 |
Independent Google result page
Query: prefect
| Position | Title | URL | Description |
|---|---|---|---|
| 1 | Prefect - Workflow Orchestration for Data, ML, and Agents | https://www.prefect.io/ | Prefect is a workflow orchestration platform for data, ML, and agents. You write workflows as plain Python, and Prefect runs them durably in production: ... |
| 2 | Prefect | https://en.wikipedia.org/wiki/Prefect | essentially refers to the leader of an administrative area. is the State's representative in a department. A maritime prefect (right) is a military officer who ... |
| 3 | Introduction - Prefect | https://docs.prefect.io/v3/get-started | Prefect is an open-source orchestration engine that turns your Python functions into production-grade data pipelines with minimal friction. |
| 4 | PREFECT Definition & Meaning | https://www.merriam-webster.com/dictionary/prefect | The meaning of PREFECT is any of various high officials or magistrates of differing functions and ranks in ancient Rome. |
| 5 | Prefect is a workflow orchestration framework for building ... | https://github.com/PrefectHQ/prefect | Prefect is a workflow orchestration framework for building data pipelines in Python. It's the simplest way to elevate a script into a production workflow. |
| 6 | Prefect Open Source - Python Workflow Orchestration | https://www.prefect.io/prefect/open-source | Self-hosted workflow orchestration with Prefect open source. Run Python code as-is with full infrastructure control. Production-ready and flexible. |
| 7 | Prefect Cloud | https://app.prefect.cloud/ | — |
| 8 | Prefect | https://www.linkedin.com/company/prefect | Prefect is open-source workflow orchestration for building, observing, and reacting to your data pipelines. |
Important pages
Pages earning the most estimated search traffic in the sample.
Website intelligence — Collected evidence
Prioritized website intelligence pages
| Type | Page | Words | Change | URL |
|---|---|---|---|---|
| other | Prefect - Workflow Orchestration for Data, ML, and Agents | 1,264 | new | https://www.prefect.io/ |
| pricing | Pricing - Prefect Cloud | 795 | new | https://www.prefect.io/pricing |
| pricing | Untitled page | 956 | new | https://www.prefect.io/pricing/llms.txt |
| features | SpareBank 1 builds a shared data platform for its banks with Prefect | 1,185 | new | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
| integrations | Cash App Gains Flexibility in Machine Learning Workflows with Prefect | 1,502 | new | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| customers | Customer Stories \ | static | 219 | new |
| customers | Ramp \ | Prefect | static | 637 |
| customers | WHOOP \ | Prefect | static | 696 |
| changes | Changelog \ | static | 1,664 | new |
| trust | Legal & Compliance - Prefect | 163 | new | https://www.prefect.io/legal |
| trust | Enterprise Security & Compliance \ | static | 716 | new |
| identity | Careers at Prefect - Open Roles | 151 | new | https://www.prefect.io/careers |
| identity | About Prefect - Company & Mission | 524 | new | https://www.prefect.io/company |
| identity | Talk to Sales \ | static | 139 | new |
Features
| Page type | Evidence | Source |
|---|---|---|
| features | Opens in a new window Opens an external website Opens an external website in a new window | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
| features | This website utilizes technologies such as cookies to enable essential site functionality, as well as for analytics, personalization, and targeted advertising. To learn more, view the following link: Privacy Policy | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
| features | Manage Preferences | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
| features | Storage Preferences | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
| features | [Skip to content](#main) | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
| features | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect | |
| features | Book a demoLog inStart free | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
| features | Customer stories | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
| features | SpareBank 1 builds a shared data platform for its banks with Prefect. | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
| features | Central teams supply the data and member banks build their own pipelines on Prefect, with execution staying inside the banks' own AWS infrastructure in the EU. | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
| features | source tables loaded daily | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
| features | daily Prefect users across the alliance | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
| features | deployments in one member bank | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
| features | SpareBank 1 is an alliance of Norwegian banks that serve individuals and businesses with mortgages, car loans and business lending. The banks compete for customers while sharing technology, infrastructure and branding. Historically the banks had each developed and maintained their data platforms separately. The alliance decided to bring that work together and build a modern data platform as a shared service. | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
| features | Arv Breistøl works on the data platform team in the alliance’s shared-services company. His team provides the tools and infrastructure used by central ingestion teams and engineers in the member banks. Those banks receive centrally supplied datasets, but they also write pipelines for their own data. The platform has to support engineers doing both kinds of work. | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
| features | [Why Prefect fit the shared platform](#why-prefect-fit-the-shared-platform) | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
| features | The alliance chose Snowflake for storage, AWS for infrastructure and, at the time, dbt for modeling. For ingestion, it wanted to write pipelines in Python. Orchestration needed to fit that approach and become part of the platform service the banks would receive. | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
| features | The evaluation predated Arv’s arrival. The team documented its use cases and scored tools including Prefect, Airflow and Dagster. Scheduling, dependencies and logging mattered to the engineers running pipelines. For the platform team, infrastructure as code was particularly important because it needed to automate setup and provision resources for other teams. | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
| features | > “When we did the scoring, Prefect came out on top.” | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
| features | Many engineers in the alliance already knew Airflow. Arv’s impression was that the evaluators preferred the development experience in Prefect, particularly how jobs were declared and how orchestration followed the Python code. “\[Prefect\] was super impressive technically,” he recalls. | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
Pricing and plans
| Page type | Evidence | Source |
|---|---|---|
| pricing | Book a demoLog inStart free | https://www.prefect.io/pricing |
| pricing | Prefect Pricing | https://www.prefect.io/pricing |
| pricing | Plans that scale with your team and stay predictable as you grow. Start on the free Hobby tier, and add governance and scale when you're ready. | https://www.prefect.io/pricing |
| pricing | Looking for FastMCP Gateway, our managed MCP platform? | https://www.prefect.io/pricing |
| pricing | Copy page as Markdown·llms.txt | https://www.prefect.io/pricing |
| pricing | Choose the right plan | https://www.prefect.io/pricing |
| pricing | $100/user/mo | https://www.prefect.io/pricing |
| pricing | Compare every plan | https://www.prefect.io/pricing |
| pricing | Prefect Cloud plan comparison | https://www.prefect.io/pricing |
| pricing | \ | 2 \ |
| pricing | \ | N/A \ |
| pricing | \ | 500 mins/mo \ |
| pricing | \ | Community \ |
| pricing | \ | N/A \ |
| pricing | Eligible startups get credits toward the Team plan through the Prefect Startup Program. | https://www.prefect.io/pricing |
| pricing | How does Prefect's pricing work? | https://www.prefect.io/pricing |
| pricing | Does Prefect offer a free trial for paid plans? | https://www.prefect.io/pricing |
| pricing | Start on the free plan, then upgrade for SSO, governance, and the scale a growing team needs. | https://www.prefect.io/pricing |
| pricing | Start for freeBook a demo | https://www.prefect.io/pricing |
| pricing | \# Prefect Pricing | https://www.prefect.io/pricing/llms.txt |
Integrations and supported platforms
| Page type | Evidence | Source |
|---|---|---|
| integrations | [Skip to content](#main) | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect | |
| integrations | Book a demoLog inStart free | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | Customer stories | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | July 17, 2024 | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | Cash App Gains Flexibility in Machine Learning Workflows with Prefect | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | Machine Learning Engineer | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | “Fraud is a high-stakes game that takes constant work to stay ahead of bad actors. Working on it at Cash App means constantly striving to be at the cutting edge of the field.” \- Isaac Tamblyn, Cash App | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | Cash App employs teams of financial experts that are constantly on the lookout for new transaction patterns from bad actors, but identifying this behavior is just step one in preventing fraud. These experts collaborate with Machine Learning Engineers on state-of-the-art infrastructure to deploy new models that combat new fraud patterns as quickly as they arrive. | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | Wendy Tang is part of the ML Tools and & Training Team at Cash App responsible for building and maintaining this infrastructure. Her team started their orchestration journey a few years ago with Airflow to construct ETL pipelines. They found Airflow to be a capable option for running SQL queries that moved data from one place to another or performed transformations. But limitations soon appeared. The flexibility and scalability needed to get up and running quickly with new fraud prevention models simply wasn't there. As Wendy mentioned in her Prefect Summit session, | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | "Airflow was no longer a viable option for Machine Learning workflows.” | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | [Moving beyond ETL to orchestrate Machine Learning workflows](#moving-beyond-etl-to-orchestrate-machine-learning-workflows) | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | Whether or not your data team is responsible for mitigating fraud, it is likely the demands of your data team are increasing. We have a unique point of view into the changing landscape of data infrastructure here at Prefect. Just a few years ago, the data warehouse was the center of a data team’s universe. Now many see this field becoming commoditized. As ETL pipelines become less of a differentiator and source of value, more is needed from an orchestration tool to address new areas of value. The Cash App platform team wanted more than Airflow could offer, and found limitations began appearing in the following areas: | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | [Cash App’s ML workflow platform needs](#cash-apps-ml-workflow-platform-needs) | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | ☁️ Heterogeneous compute | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | Compute needs can vary significantly between Machine Learning models and at various stages of a model’s life. A one-worker-fits-all approach to orchestration can result in very large and very small tasks using the same compute. Prefect’s deployments can run across configurable work pools in a wide variety of container, AI, and even Prefect-managed infrastructure options. | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | 🎨 Custom Python | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | Private and custom Python packages can be critical to ML model development. They provide a clean and easy way to deploy and reuse modular, organized, and production-ready code. Task-specific package management is difficult with some orchestrators, as they can compete with the orchestrator’s default set of packages. Prefect's dependencies and environment are entirely separate from every flow it manages and the flow’s dependencies and environment, and each flow can be deployed to a unique environment. Wendy’s team at Cash App implements flow-specific environments via Access Control Lists that enable custom packages for users across clouds. | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | 🤝 Exchanging data between tasks | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | Machine Learning workflows will often reuse assets. For instance, a developer at Cash App may want to create a variety of candidate models, each as its own workflow. Performance data on each model then passes to another workflow that promotes the best one into production. Airflow wasn’t very good at exchanging data between DAGs. Prefect flows have a simple and Pythonic way to share data between flows. | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
Product and company updates
| Page type | Evidence | Source |
|---|---|---|
| changes | [Skip to content](#main) | https://www.prefect.io/changelog |
| changes | https://www.prefect.io/changelog | |
| changes | Book a demoLog inStart free | https://www.prefect.io/changelog |
| changes | New in Prefect: features, improvements, and fixes. For the complete record of every open source release, see the release notes. | https://www.prefect.io/changelog |
| changes | All updatesCloudOpen sourcellms.txtRSS | https://www.prefect.io/changelog |
| changes | Artifacts get a home in Prefect Cloud | https://www.prefect.io/changelog |
| changes | A top-level Artifacts page in the sidebar and command palette, with redesigned collection and detail views, support for every SDK artifact type, and inline version rendering. | https://www.prefect.io/changelog |
| changes | Artifacts now have a home in Prefect Cloud. They live in the sidebar and the command palette, so you can navigate or search straight to a full view of everything your workflows have produced, in one place. Alongside that, the collection and detail pages have been rebuilt to keep pace with everything the SDK can now attach to a run. | https://www.prefect.io/changelog |
| changes | The collection view shows a preview of each artifact, its type, and when it was created, along with type-specific metadata like how far a progress artifact has advanced or how many rows a table holds. Every artifact type the SDK supports is represented, including progress and result artifacts. | https://www.prefect.io/changelog |
| changes | The detail view is streamlined around the thing you came to see. Each version renders inline, with the raw form a click away on the same page, so there's no secondary page to hunt through. When you're looking at an older version, a badge tells you so and links you to the latest. You can still jump to the flow run that generated an artifact, and from a run, deep links open the exact artifact version it produced. | https://www.prefect.io/changelog |
| changes | Progress artifacts also gained a sense of staleness. If a run finishes without its progress artifact ever reaching 100%, we mark that version stale rather than leaving the last reported number sitting there as if it were still live. | https://www.prefect.io/changelog |
| changes | Prefect 3.8: the redesigned UI ships by default | https://www.prefect.io/changelog |
| changes | The redesigned UI is now the default for self-hosted servers, with quicker run navigation, clickable log links, and a round of reliability fixes. | https://www.prefect.io/changelog |
| changes | The redesigned UI is the default for self-hosted servers. Run Prefect yourself and you now get the V2 interface out of the box, with no opt-in required. (#22519) | https://www.prefect.io/changelog |
| changes | Also in this release: | https://www.prefect.io/changelog |
| changes | Copy to new run. Re-run a flow straight from the run menu with its options carried over.#22565#22567 | https://www.prefect.io/changelog |
Rank tracking
Persistent keyword baselines and position movement.
This analysis created the first position baseline at 2026-10-23T11:19:47.171Z. Movement appears after the next fresh analysis using the same location and language.
Features
Features and capabilities
Core functions and evidence-backed product capabilities.
| Capability | What it does |
|---|---|
| Workflow orchestration | Turn any Python function into a durable, observable workflow with one decorator S45. |
| Managed compute | Run workflows without hosting your own infrastructure using Prefect Serverless S90. |
| Hybrid execution | Execute flows on your own infrastructure, in a VPC, or anywhere in between S45. |
| Automations | Create rules that react to workflow events, like sending alerts or triggering runs S90. |
| Observability | Track every task and run, with logging and alerting to capture run logs S45 S90. |
| MCP server framework | Build MCP servers that connect agents to your tools and data using FastMCP S11. |
| Asset-based data platform | Model data as assets with lineage, freshness, and quality built in S11. |
Integrations and ecosystem
Connected products, exports, APIs, and workflow compatibility.
| Integration or interface | Type | What it enables |
|---|---|---|
| Webhooks | Integration | Trigger Prefect actions from external systems through an HTTP endpoint S90. |
| PrivateLink | Integration | Connect your cloud VPC to Prefect privately, avoiding the public internet S90. |
| API | API | Access Prefect's features programmatically with rate limits per plan S90. |
| FastMCP | Framework | Build MCP servers that connect agents to your tools and data S11. |
| Open-source framework | Framework | Run Prefect Cloud on the open-source Prefect framework S45. |
Pricing
Pricing and plans
Published plans, free access, trials, credits, and pricing limitations.
| Plan or offer | Verified price and billing | Included | Limits |
|---|---|---|---|
| Hobby | $0, free forever S90 | 5 deployments, 500 serverless minutes per month S90 | 2 users, 7-day run retention S90 |
| Starter | $100 per month, billed monthly S90 | 20 deployments, 75 serverless hours per month S90 | 3 users, bring your own compute S90 |
| Team | $100 per user per month, billed monthly S90 | 100 deployments, 225 serverless hours per month S90 | 4-8 users, service accounts, 24-hour audit log S90 |
| Enterprise | Custom, billed annually S90 | Unlimited deployments S90 | SSO, RBAC, SCIM, 99.9% uptime SLA S90 |
Competition
Competitive landscape
Domains competing for the same organic search demand.
Sampled competitors
| Competitor | First-page appearances | Sampled queries | Average position | Queries observed |
|---|---|---|---|---|
| en.wikipedia.org | 2 | 2 | 1.5 | prefect, glue codes |
| docs.prefect.io | 1 | 1 | 3 | prefect |
| gluecode.ai | 1 | 1 | 3 | glue codes |
| merriam-webster.com | 1 | 1 | 4 | prefect |
| oetiker.ch | 1 | 1 | 4 | glue codes |
| github.com | 1 | 1 | 5 | prefect |
| docs.aws.amazon.com | 1 | 1 | 5 | glue codes |
| uniform.dev | 1 | 1 | 6 | glue codes |
| app.prefect.cloud | 1 | 1 | 7 | prefect |
| openfast.readthedocs.io | 1 | 1 | 7 | glue codes |
Website intelligence — Collected evidence
Customers, testimonials, and first-party review claims
| Page type | Evidence | Source |
|---|---|---|
| customers | [Skip to content](#main) | https://www.prefect.io/customers |
| customers | https://www.prefect.io/customers | |
| customers | Book a demoLog inStart free | https://www.prefect.io/customers |
| customers | Customer stories | https://www.prefect.io/customers |
| customers | How Ramp moved critical data workflows to Prefect | https://www.prefect.io/customers |
| customers | ](/customers/ramp)[ | https://www.prefect.io/customers |
| customers | How WHOOP cut production incidents by 75% | https://www.prefect.io/customers |
| customers | ](/customers/whoop) | https://www.prefect.io/customers |
| customers | More customer stories | https://www.prefect.io/customers |
| customers | SpareBank 1 builds a shared data platform for its banks with Prefect | https://www.prefect.io/customers |
| customers | ](/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect) | https://www.prefect.io/customers |
| customers | How Kepler Cut Pipeline Delivery from Weeks to Days with Prefect | https://www.prefect.io/customers |
| customers | ](/blog/how-kepler-cut-pipeline-delivery-from-weeks-to-days-with-prefect) | https://www.prefect.io/customers |
| customers | Seven.One Entertainment | https://www.prefect.io/customers |
| customers | How Seven.One Entertainment Orchestrates Data Pipelines with Prefect | https://www.prefect.io/customers |
| customers | ](/blog/how-seven-one-entertainment-orchestrates-data-pipelines-with-prefect) | https://www.prefect.io/customers |
| customers | Barstool Sports | https://www.prefect.io/customers |
| customers | How Barstool Sports Scaled Media Data Operations with Prefect | https://www.prefect.io/customers |
| customers | ](/blog/how-barstool-sports-scaled-media-data-operations-with-prefect) | https://www.prefect.io/customers |
| customers | Flatiron Health | https://www.prefect.io/customers |
Independent review sources discovered
No links to supported independent review platforms were discovered on the collected pages.
Backlink profile
Authority and referring-domain signals.
Backlink comparison profile
- Domain rating: 76/100
- Backlinks: 51,038
- Referring domains: 5,019
- Dofollow backlinks: 69.0%
- Dofollow referring domains: 68.0%
| Source DR | Source title | Anchor | Source URL | Target URL |
|---|---|---|---|---|
| 85 | NumPy | Prefect | https://numpy.org/ | https://www.prefect.io/ |
| 75 | Modern Data Orchestrator Platform \ | Dagster | Prefect Looking for agentic orchestration or MCPs?Check Prefect | https://dagster.io/ |
| 74 | FastMCP: The Framework for MCP - FastMCP | Prefect Horizon | https://gofastmcp.com/getting-started/welcome | https://www.prefect.io/horizon |
| 56 | Free for Developers | PrefectCloud | https://free-for.dev/ | https://www.prefect.io/cloud/ |
| 70 | Exasol: Die analytics database \ | DWH, Beschleunigung, KI & ML | — | https://www.exasol.com/de/ |
| 73 | What Is A Data Platform And How Do You Build One? | Prefect | https://montecarlo.ai/blog-what-is-a-data-platform-and-how-to-build-one | https://www.prefect.io/ |
| 73 | Real-Time Data Processing for Analytics in 2026 \ | Tinybird | Prefect | https://www.tinybird.co/blog/real-time-data-processing |
| 85 | What is a DAG? A Practical Guide with Examples \ | DataCamp | Prefect | https://www.datacamp.com/blog/what-is-a-dag |
| 85 | The 48 Best Open-Source Python Libraries and Tools in 2026 \ | Anaconda | Prefect | https://www.anaconda.com/guides/open-source-python-libraries |
| 57 | Best 9 Data Orchestration Tools for Data Teams - OvalEdge | Prefect | https://www.ovaledge.com/blog/data-orchestration-tools | https://www.prefect.io/ |
Collection decision
The Scout search index remains intentionally excluded from automatic Scout analysis. This Scout traffic model profile costs 5 credits (0.5 cents) and is included in the first comparison run so its usefulness can be judged before the recurring collection is finalized.
AI visibility
Measured ChatGPT and Google AI mentions with cited sources.
AI-assistant referral traffic
- Estimated current generative-AI referral share: 3.8%
| Month | Traffic share | Source |
|---|---|---|
| — | — | All AI assistants |
Website intelligence — Collected evidence
Site-stated AI capabilities
| Page type | Evidence | Source |
|---|---|---|
| other | Orchestrate workflows with Prefect. Connect AI agents to your tools and data with FastMCP Gateway. Open-source foundations, production-ready platforms. | https://www.prefect.io/ |
| identity | Learn how teams run production workflows on Prefect Cloud and deploy AI agents on FastMCP Gateway. Talk to our sales team. | https://www.prefect.io/contact-sales |
| pricing | Managed MCP infrastructure for AI agents. Start free, and scale as you grow. | https://www.prefect.io/pricing/llms.txt |
| integrations | Cash App Gains Flexibility in Machine Learning Workflows with Prefect | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | Machine Learning Engineer | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | “Fraud is a high-stakes game that takes constant work to stay ahead of bad actors. Working on it at Cash App means constantly striving to be at the cutting edge of the field.” \- Isaac Tamblyn, Cash App | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | Cash App employs teams of financial experts that are constantly on the lookout for new transaction patterns from bad actors, but identifying this behavior is just step one in preventing fraud. These experts collaborate with Machine Learning Engineers on state-of-the-art infrastructure to deploy new models that combat new fraud patterns as quickly as they arrive. | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | "Airflow was no longer a viable option for Machine Learning workflows.” | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | [Moving beyond ETL to orchestrate Machine Learning workflows](#moving-beyond-etl-to-orchestrate-machine-learning-workflows) | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | Compute needs can vary significantly between Machine Learning models and at various stages of a model’s life. A one-worker-fits-all approach to orchestration can result in very large and very small tasks using the same compute. Prefect’s deployments can run across configurable work pools in a wide variety of container, AI, and even Prefect-managed infrastructure options. | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | Machine Learning workflows will often reuse assets. For instance, a developer at Cash App may want to create a variety of candidate models, each as its own workflow. Performance data on each model then passes to another workflow that promotes the best one into production. Airflow wasn’t very good at exchanging data between DAGs. Prefect flows have a simple and Pythonic way to share data between flows. | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | Cash App created a three-fold list of requirements that led them to adopt Prefect: flexibility for Machine Learning workflows, easy adoption by Machine Learning practitioners, and, most important of all, a high level of data security. Prefect’s wide array of deployment options and lightweight Pythonic developer experience have kept the team on the platform ever since. | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| integrations | Workflows are continuing to evolve at Cash App. As the team looks to move beyond tree-based models into new and larger models, they are experimenting with ControlFlow. It is an open-source framework built on top of Prefect for resilient agentic AI workflows. The team wants to upgrade their compute instances to address the horizontal and vertical scaling needs of complex model types as well. We think our integrations with distributed computing frameworks such as Ray and Dask will be critical here. They keep the Pythonic experience their users already know. | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| customers | How Snorkel AI Reliably Executes Thousands of Daily Workflows with Prefect Open Source | https://www.prefect.io/customers |
| customers | ](/blog/how-snorkel-ai-executes-thousands-of-daily-workflows-with-prefect-open-source) | https://www.prefect.io/customers |
| customers | Ryne CarboneRyne CarboneStaff Machine Learning Engineer, Ramp | https://www.prefect.io/customers/ramp |
These are first-party product claims, not independent measurements of AI-search visibility.
Marketing opportunities
Actions calculated directly from the collected evidence.
| Opportunity | Recommended action | Evidence |
|---|---|---|
| Competitor gap | Review the sampled queries where en.wikipedia.org appears. | 2 first-page appearances across prefect, glue codes |
Website intelligence — Collected evidence
Website evidence gaps
- reviews: no usable public page was collected; verify whether the site publishes this evidence.
- technical: no usable public page was collected; verify whether the site publishes this evidence.
Trust and proof
Customers, proof, and reviews
Published proof, customer signals, and review evidence.
Independent reviews
| Platform | Page | How it was found | Note |
|---|---|---|---|
| ToolRadar / G2 | Prefect Reviews, Pricing & Alternatives (2026) - 4.5/5 | Grounded web search | ## Ratings Across the Web 4.5(125 reviews) Prefect holds an aggregate rating of 4.5 out of 5 from 125 reviews across G2, last checked September 1, 2026. G2 125 reviews 4.5/5 Ratings aggregated from independent review platforms. Learn more |
| AWS Marketplace | Prefect Cloud Reviews / AWS Marketplace | Grounded web search | The documentation is very poor for most use cases, and there were several times when we had to figure things out on our own. On top of that, support is limited to the self-hosted version, and the community wasn’t that helpful either. We ended up going for a paid plan, but for our use case it wasn’t ideal, and the cost didn’t feel worth it. Because of that, we ultimately managed to make it work with the self-hosted version. I don’t think the product is very popular yet, but when it becomes more w |
| FeaturedCustomers | 43 Prefect Customer Reviews & References / FeaturedCustomers | Grounded web search | Read 15 Prefect reviews and testimonials from customers, explore 28 case studies and customer success stories, and watch customer videos to see why companies chose Prefect as their Developer Tools ... Customer Rating Review Score based on 1499 reference ratings 4.8/5.0 (1499) |
| prefect.io | Data Engineering / Prefect | Grounded web search | G2 Review Prefect is like an air traffic controller for your data. It supports Amazon, Databricks, and Adobe... prebuilt flows and infrastructure blocks like Git, Docker, and ECS save time. ... The UI gives us real-time visibility into data processing, |
| shouldiuse.io | Prefect Review 2026: Pricing, Pros & Cons / Should I Use It | Grounded web search | ## Confidence High. Based on 30+ public sources: G2 reviews, Reddit threads, CVE databases, and Prefect's own pages. ... > “Users consistently praise the ease” G2 reviews > “Personally I like prefect for most” |
| G2 | Compare Prefect and Stonebranch Social Share Options | Grounded web search | Prefect(123)4.5 out of 5Prefect By Prefect Stonebranch(101)4.5 out of 5Stonebranch By Stonebranch, Inc ... At a Glance Prefect Star Rating (123) 4.5 out of 5 Market Segments Small-Business (42.6% of reviews) Entry-Level Pricing |
Customer proof
| Proof type | Named customer or source | Evidence |
|---|---|---|
| Case study | Ramp, WHOOP, SpareBank 1, Seven.One | customer case study — ## How Ramp moved critical data workflows to Prefect ## How WHOOP cut production incidents by 75% ... (Customer Stories / Prefect) |
| Testimonial | Foundry | testimonial — How Foundry Cut Workflow Deployment Time by 80% Using Prefect ... (How Foundry Cut Workflow Deployment Time by 80% Using Prefect) |
Independent mentions
- How Climate Policy Radar Processes 25,000 Policy Documents with Prefect — "With Prefect you can declare DAG flows and pipelines in Python with complex conditionals, logic and parameters as opposed to JSON style ASL (Amazon States Language) pipeline definitions in AWS Step Functions which are much harder for developers to pick up and work with. Prefect also provides the ability to orchestrate tasks outside of the AWS domain as well as offering many advanced features in v3 like transactional workflows and run artifacts.”," Cottam explained. "Data scientists would have t
External links were grounded in one live web search. Search snippets are leads, not independently scraped page content; rejected links remain available in Review evidence.
Company, security, and trust
Ownership, policies, security signals, and public trust evidence.
| Signal | Finding | Source |
|---|---|---|
| Company and ownership | Scale with Confidence: As your workloads and data demands grow, you can seamlessly move to our Team or Pro/Enterprise offerings without changing the way your flows run. | source |
| Contact and support | Not published on the collected pages. | — |
| Legal and privacy | This website utilizes technologies such as cookies to enable essential site functionality, as well as for analytics, personalization, and targeted advertising. To learn more, view the following link: Privacy Policy | source |
| Security and compliance | Enterprise SSO, RBAC, and SOC 2 Type II | source |
| Uptime and status page | Enterprise GradeSOC 2 Type IIHIPAAGDPRHybrid & VPC99.9% uptime | source |
Not found on the collected pages: contact and support. This only means Scout did not find it on the pages it read; it says nothing about the company itself.
Documentation and product updates
Help resources, product guidance, and visible changes over time.
| Resource or update | Type | What is available | Date or freshness |
|---|---|---|---|
| Feature Flagging at Prefect | Product update | Product update is publicly available. (source) | Not dated |
Not found in the collected public sources: public roadmap, changelog or release notes, status page, separate help center or knowledge base.
Technical
Technical and delivery signals
Delivery model, platforms, API, data ownership, reliability claims and release activity.
| Signal | Finding | Source |
|---|---|---|
| Delivery model (cloud, self-hosted, desktop, browser extension) | Prefect Cloud is fully managed, and the open-source framework can be self-hosted S45. | S45 |
| Platforms and apps | Prefect is a web application; no desktop or mobile apps are mentioned S45. | S45 |
| API and extensibility (API, SDK, webhooks, MCP, plugins) | Provides API, webhooks, and FastMCP for building MCP servers S90 S11. | S90 S11 |
| Data ownership and export | Not published on the collected pages. | — |
| Performance and reliability claims | Prefect executes flows on your infrastructure, retries failures, and scales out S45. | S45 |
| Release activity | Not published on the collected pages. | — |
Measured infrastructure
Domain, certificate, and hosting signals, measured directly.
| Signal | Finding |
|---|---|
| First archived | 2018-08-16 — web archive |
| TLS certificate | Let's Encrypt, valid, expires 2027-01-11 |
| Security headers | HSTS, CSP, X-Content-Type-Options, Referrer-Policy |
| Headers not served | X-Frame-Options |
| Server header | Vercel |
| Mail handled by | aspmx.l.google.com, alt1.aspmx.l.google.com |
| Nameservers | ns-cloud-b2.googledomains.com, ns-cloud-b3.googledomains.com |
Not measurable: rdap: no RDAP server published for .io. A gap here means the lookup was unavailable, not that the finding is negative.
Technical site audit
A bounded multi-page crawl with page-level issues and URLs.
Scout — Bounded technical crawl
- Pages crawled: 15 of 15 maximum
- Technical health: 96/100
- Critical issues: 0
- Warnings: 9
- Notices: 4
Issues
Crawled pages
| Status | Title | H1s | Words | Response | URL |
|---|---|---|---|---|---|
| 200 | Prefect - Workflow Orchestration for Data, ML, and Agents | 1 | 1252 | 104 ms | https://www.prefect.io/ |
| 200 | Prefect - Workflow Orchestration for Data, ML, and Agents | 1 | 1252 | 38 ms | https://www.prefect.io/ |
| 200 | Customer Stories \ | Prefect | 1 | 199 | 240 ms |
| 200 | Pricing - Prefect Cloud | 1 | 836 | 320 ms | https://www.prefect.io/pricing |
| 200 | Talk to Sales \ | Prefect | 1 | 190 | 170 ms |
| 200 | FastMCP Gateway: The Enterprise MCP Server Platform \ | Prefect | 1 | 1865 | 192 ms |
| 200 | Cash App Gains Flexibility in Machine Learning Workflows with Prefect | 1 | 1009 | 163 ms | https://www.prefect.io/blog/cash-app-gains-flexibility-in-machine-learning-workflows-with-prefect |
| 200 | How Kepler Cut Pipeline Delivery from Weeks to Days with Prefect | 1 | 1175 | 174 ms | https://www.prefect.io/blog/how-kepler-cut-pipeline-delivery-from-weeks-to-days-with-prefect |
| 200 | SpareBank 1 builds a shared data platform for its banks with Prefect | 1 | 1133 | 60 ms | https://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefect |
| 200 | Modern Orchestration: Endpoint's evolution from Airflow to Prefect | 1 | 1020 | 186 ms | https://www.prefect.io/blog/modern-orchestration-endpoint-s-evolution-from-airflow-to-prefect |
| 200 | Washington Nationals and Prefect | 5 | 1379 | 191 ms | https://www.prefect.io/blog/nationals-prefect |
| 200 | WHOOP \ | Customer Story \ | Prefect | 1 | 739 |
| 200 | How Seven.One Entertainment Orchestrates Data Pipelines with Prefect | 1 | 1205 | 210 ms | https://www.prefect.io/blog/how-seven-one-entertainment-orchestrates-data-pipelines-with-prefect |
| 200 | How Barstool Sports Scaled Media Data Operations with Prefect | 1 | 1422 | 177 ms | https://www.prefect.io/blog/how-barstool-sports-scaled-media-data-operations-with-prefect |
| 200 | How Theory Ventures Eliminated Copy-Paste Research with Horizon | 1 | 641 | 175 ms | https://www.prefect.io/blog/theory-ventures-horizon |
This is a bounded Scout crawl. Core Web Vitals and Lighthouse scores are not claimed unless a dedicated performance audit is connected.
Search Console and Analytics
First-party search and behavioral data connection state.
Modeled acquisition channels
| Channel | Estimated share |
|---|---|
| direct | 33.2% |
| search | 53.3% |
| search organic | 45.7% |
| search paid | 7.6% |
| social | 3.0% |
| social organic | 2.1% |
| social paid | 0.9% |
| referrals | 6.7% |
| paid referrals | 0.0% |
| 0.0% | |
| gen ai | 3.8% |
| affiliate | 0.0% |
| other | 0.0% |
First-party connections
| Integration | Status | Data available after connection |
|---|---|---|
| Google Search Console | Not connected | Clicks, impressions, CTR, average position, queries, pages, countries, and devices |
| Google Analytics | Not connected | Organic sessions, engagement, landing pages, conversions, geography, and devices |
No first-party Search Console or Analytics numbers are shown until the site owner authorizes the corresponding Google account. Scout traffic model values above are modeled estimates, not private analytics totals.
Limits and method
Limitations and open questions
Known constraints and missing evidence from the collected pages.
The collected pages do not mention specific competitors beyond Airflow S45. Evidence gaps include lack of detailed customer reviews, specific integration partners, and documentation on data export or release activity. Open questions remain about the full capabilities of the Dagster acquisition and how Prefect Serverless pricing scales beyond included credits.
Sources, method, and limitations
Evidence inventory, collection method, provider use, and constraints.
This report is based on 15 collected pages from prefect.io, including the homepage, platform overview, pricing, get-started, company, customers, and several blog posts. Static and browser rendering rendering were used; external proof search was enabled but only verified the existence of linked results. Limitations include reliance on marketing materials and lack of independent review data.
- Official Websitehttps://www.prefect.io/Verified
- Official Websitehttps://www.prefect.io/companyVerified
- Official Websitehttps://www.prefect.io/platformVerified
- Official Websitehttps://www.prefect.io/get-startedVerified
- Pricing Pagehttps://www.prefect.io/pricingVerified
- Pricing Pagehttps://www.prefect.io/blog/introducing-two-new-self-serve-plans-for-prefect-cloudVerified
- Official Websitehttps://www.prefect.io/blog/a-platform-approach-to-workflow-orchestrationVerified
- Official Websitehttps://www.prefect.io/blog/cox-automotive-meets-dynamic-demands-with-workforce-analytics-solutions-powered-by-prefectVerified
- Official Websitehttps://www.prefect.io/blog/feature-flagging-at-prefectVerified
- Official Websitehttps://www.prefect.io/blog/kraft-analytics-group-platform-evolution-with-prefectVerified
- Official Websitehttps://www.prefect.io/blog/sparebank-1-builds-a-shared-data-platform-for-its-banks-with-prefectVerified
- Official Websitehttps://www.prefect.io/blog/summit-25-product-announcementVerified
- Official Websitehttps://www.prefect.io/blog/why-you-need-an-observability-platformVerified
- Official Websitehttps://www.prefect.io/resources/platform-teams-say-yes-to-agent-buildersVerified
- Official Websitehttps://www.prefect.io/solutions/agenciesVerified
- Articlehttps://www.prefect.io/customersVerified
- Review Sitehttps://toolradar.com/tools/prefectVerified
- Review Sitehttps://aws.amazon.com/marketplace/reviews/reviews-list/prodview-tpbglrzc4kes2Verified
- Articlehttps://www.prefect.io/blog/how-foundry-cut-workflow-deployment-time-by-80-using-prefectVerified
- Review Sitehttps://www.featuredcustomers.com/vendor/prefectVerified
- Review Sitehttps://www.prefect.io/solutions/data-engineeringVerified
- Review Sitehttps://shouldiuse.io/r/prefectVerified
- Articlehttps://www.prefect.io/blog/how-climate-policy-radar-processes-25-000-policy-documents-with-prefectVerified
- Review Sitehttps://www.g2.com/compare/prefect-vs-stonebranchVerified