Business Intelligence · Reviewed 20 Oct 2026

Preset

Managed Apache Superset BI platform with AI chatbot and embedded analytics.

from $500 · free tier · preset.io ↗

Paid against free › Business Intelligence › Preset

Overview

01

Summary

The useful answer before the supporting detail.

Preset is a fully managed cloud service for Apache Superset, the open-source BI and data visualization platform S9. It is used by data teams and business users to create interactive dashboards and charts without the overhead of installing or maintaining software S9. The platform provides drag-and-drop chart creation, a collaborative SQL editor, and a semantic layer for defining metrics S9. Its main practical value is enabling faster, more accessible analytics while leveraging the open-source Superset ecosystem S1.

02

Product identity and positioning

Name, category, positioning, audience, and first-party claims.

  • Identity: Preset is a managed cloud service for Apache Superset, an open-source BI platform S9.
  • Core purpose: It makes data visualization and analytics more accessible by removing the need to install or maintain software S9.
  • Intended users: Data teams and business users who want to create and explore dashboards S21.
  • Product scope: A single cloud platform offering dashboards, charts, a SQL editor, and a semantic layer S9.
  • Positioning: Positioned as an open analytics platform for the modern data stack S9.
  • Claimed distinction: Founded by the original creator of Apache Superset, with a commitment to open source S1.
03

Use cases and audiences

Who the product serves and the jobs it is designed to handle.

AudiencePractical use case
Data teamsDefine metrics and virtual datasets in a semantic layer to reduce repetitive SQL queries S9 S18.
Business usersCreate interactive dashboards and charts via drag-and-drop without writing code S9.
Organizations with sensitive dataUse row-level security and RBAC to protect data access S9.
Teams needing alertsSet up alerts and reports to be notified via Slack or email when dashboard events occur S9.
Developers building appsEmbed Preset dashboards into external applications using viewer licenses S92.

Features

04

Features and capabilities

Core functions and evidence-backed product capabilities.

CapabilityWhat it does
Drag-and-drop chart builderCreate charts and dashboards visually without writing code S9.
Collaborative SQL editorWrite and share SQL queries to define dimensions, metrics, and virtual datasets S9.
Semantic layerDefine common metrics and calculations for reuse across charts and dashboards S9 S21.
Alerts and reportsSend dashboard notifications via Slack or email when events are triggered S9.
AI chatbotAsk questions in natural language and get charts in response S9.
Row-level securityPrevent unauthorized access to sensitive data with fine-grained access control S9.
Dashboard CSS templatesCustomize the look and feel of dashboards to match your brand S9.
05

Integrations and ecosystem

Connected products, exports, APIs, and workflow compatibility.

Integration or interfaceTypeWhat it enables
dbt and CubeIntegrationDefine and manage metrics in source control S21.
Preset API and CLIAPI / CLIAutomate workflows and connect to internal or third-party systems S18 S156.
Preset MCP serverAI interfaceConnect your own AI agents to Preset for building charts and discovering insights S49 S156.
SlackIntegrationSend alerts and reports to Slack channels S9 S92.
Snowflake, BigQuery, Redshift, Postgres, ClickHouseData connectorConnect to over 75 different databases with native SQL connectors S156.
OpenAI, AI model, Vertex AIAI interfaceConnect your own LLMs to power natural language querying and copilots S156.

Pricing

06

Pricing and plans

Published plans, free access, trials, credits, and pricing limitations.

Plan or offerVerified price and billingIncludedLimits
Starter$0, free forever S92Unlimited dashboards & charts, no-code chart builder, collaborative SQL editor S92Up to 5 users, 1 workspace S92
Professional$20 per user/month billed annually; $25 billed monthly S92Everything in Starter, plus Slack integration for alerts, embedded dashboards (add-on) S92Unlimited users, 3 workspaces, 14-day AI chatbot trial S92
Embedded viewers$500 per month for 50 viewer licenses S92Allows external users to access embedded dashboards without a Preset account S92Add-on for Professional and Enterprise plans S92
EnterpriseCustom, annual billing S92SSO, SCIM, audit logs, AI chatbot with your own AI synthesis key S92Contact sales for tailored quote S92

Trust and proof

07

Customers, proof, and reviews

Published proof, customer signals, and review evidence.

Independent reviews

PlatformPageHow it was foundNote
ListiclerPreset Review: AI-Native BI Built on Apache SupersetGrounded web searchPreset is the commercial cloud platform built on Apache Superset, offering managed dashboards, embedded analytics, and self-service data exploration at enterprise scale. It combines a powerful open-source visualization engine with AI-assisted natural language-to-SQL capabilities and fully managed infrastructure. ... - Generous free tier with 5 users and no time limit - Built on Apache Superset — no vendor lock-in - AI Assist converts natural language to SQL - Extensive database connectivity fo
AI Tool CompassPreset Cloud: pricing, free plan and alternatives / AI Tool CompassGrounded web searchCloud is a managed Apache Superset business intelligence platform with cloud hosting, workspaces, semantic layers, and AI chat features. The site markets Starter, Professional, and Enterprise tiers for teams embedding analytics and governed dashboards.

Customer proof

No named customers, testimonials, or customer case studies were found.

Independent mentions

  • AI-Native BI Built on Apache Superset™ / Preset — ## Enterprise SaaS powered by Apache Superset™ ... Explore your data with Preset's cloud-hosted, managed cloud, on-prem, or embedded analytics solutions. ... Preset’s intuitive drag-and-drop user interface and fully interactive dashboards offer a seamless experience for business users. SQL-savvy analysts can utilize the SQL IDE to run ad-hoc queries. ... Preset offers the most cost-effective BI solution. You have the flexibility to migrate your charts and dashboards to open-source Apache Superse
  • Preset, quick look: Analytics & Data / Rapid Launches — It provides a modern data stack visualization layer with no-code dashboard creation, collaborative SQL editor ... and 40+ visualization types. The platform supports SQL-based data exploration, embedded analytics for custom applications
  • Preset: Pricing, Free Plan & Features — AppClap — -and-drop dashboard and chart creation, embedded analytics for applications, and connections to 40+ ... It also offers Managed Private Cloud and on-prem deployment options, plus AI features like a conversational chatbot and MCP integration for AI agents
  • AI-Native BI Built on Apache Superset™ / Preset — ## Enterprise SaaS powered by Apache Superset™ ... Explore your data with Preset's cloud-hosted, managed cloud, on-prem, or embedded analytics solutions. ... Preset’s intuitive drag-and-drop user interface and fully interactive dashboards offer a seamless experience for business users. SQL-savvy analysts can utilize the SQL IDE to run ad-hoc queries. ... Preset offers the most cost-effective BI solution. You have the flexibility to migrate your charts and dashboards to open-source Apache Superse
  • Preset Competitive Intelligence & Landscape / ForesightIQ — s core mission is to empower everyone to build charts and dashboards, discover insights ... . They cater to a broad market, from business users leveraging their intuitive drag-and-drop interface to SQL-savvy analysts utilizing the SQL IDE for ad-
  • preset.io (AI-Native BI Built on Apache Superset™ / Preset) - host.io — BI Built on Apache Superset™ / Preset Description AI-native business intelligence built on Apache Superset™. Dashboards, embedded analytics, self-service exploration, and conversational AI — all open source, enterprise-grade, and built for the AI era.
  • Preset — Managed Apache Superset / AskableHQ — # Preset Managed Apache Superset Analytics· Freemium· Added by AskableHQ· Listed Oct 5, 2026 ## Overview Preset hosts Apache Superset for dashboards. ... Preset is a analytics product: Managed Apache Superset. Preset hosts Apache Superset for
  • Preset Pricing Plans & History (2026) — PricingSaaS — San Mateo, CA-based data analytics company founded in 2018. Private. Operates in business intelligence and data visualization. Serves data teams and enterprises with AI-native BI built on Apache Superset.

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.

08

Company, security, and trust

Ownership, policies, security signals, and public trust evidence.

SignalFindingSource
Company and ownershipPreset was founded by the original creator of Apache Superset™. Our team of experts contributes over 75% of all commits to the open-source software project.source
Contact and supportContact us for a tailored quote.source
Legal and privacyThis website uses cookies to improve user experience. By using our website you consent to all cookies in accordance with our Cookie Policy. Read moresource
Security and complianceSOC 2 Type II compliantsource
Uptime and status pageNot published on the collected pages.—

Not found on the collected pages: uptime and status page. This only means Scout did not find it on the pages it read; it says nothing about the company itself.

09

Documentation and product updates

Help resources, product guidance, and visible changes over time.

Resource or updateTypeWhat is availableDate or freshness
Apache Superset Community Office Hours - Feature Roadmap / PresetRoadmapIn this small group setting (20 people max), a few committers will share context on the short-term roadmap and then will do an extensive Q&A. Bring your questio (source)Not dated
Preset Cloud - Modern Open Source BI Platform / PresetProduct updateProduct update is publicly available. (source)Not dated
Feature Flags in Apache Superset and Preset / PresetRelease notesPublic product change history. (source)Not dated

Not found in the collected public sources: status page, separate help center or knowledge base.

Technical

10

Technical and delivery signals

Delivery model, platforms, API, data ownership, reliability claims and release activity.

SignalFindingSource
Delivery model (cloud, self-hosted, desktop, browser extension)Preset Cloud is fully managed and hosted; on-prem or private cloud options are available S9.S9
Platforms and appsWeb-based platform; no desktop or mobile apps are mentioned in the collected pages.S9
API and extensibility (API, SDK, webhooks, MCP, plugins)Offers API, CLI, and MCP server for integration and automation S18 S49 S156.S18 S49 S156
Data ownership and exportUsers grant Preset a license to user content for operating the site; export capabilities are not explicitly documented S100.S100
Performance and reliability claimsCaching for charts and dashboards reduces load on data stack S9.S9
Release activitySuperset features are released and tested every two weeks S9.S9
11

Measured infrastructure

Domain, certificate, and hosting signals, measured directly.

SignalFinding
First archived2019-08-20 — web archive
TLS certificateAmazon, valid, expires 2027-03-01
Security headersHSTS, X-Content-Type-Options, X-Frame-Options, Referrer-Policy
Headers not servedCSP
Server headerNetlify
Mail handled byaspmx.l.google.com, alt1.aspmx.l.google.com
Nameserversns-1763.awsdns-28.co.uk, ns-385.awsdns-48.com

Not measurable: rdap: no RDAP server published for .io. A gap here means the lookup was unavailable, not that the finding is negative.

Limits and method

12

Limitations and open questions

Known constraints and missing evidence from the collected pages.

The collected pages do not mention specific competitors by name. Evidence gaps include lack of detailed customer testimonials, independent review ratings, and specific uptime or performance metrics. Open questions remain about the full feature set of the Enterprise plan and the exact capabilities of the AI chatbot beyond the trial.

13

Sources, method, and limitations

Evidence inventory, collection method, provider use, and constraints.

This report is based on 15 collected pages from preset.io, including product, pricing, about, blog, and terms pages. Static and browser rendering rendering were used; external proof search was performed but no additional verification was completed. The catalog includes marketing claims, pricing details, and feature descriptions, but lacks independent reviews and detailed technical documentation. Limitations include potential bias from vendor-authored content and incomplete coverage of the full site (433 URLs mapped).

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