Feature Engineering & Indicators · Reviewed 27 Oct 2026

Amazon SageMaker Feature Store

Fully managed service for storing, sharing, and reusing ML features.

free tier · aws.amazon.com ↗

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Amazon SageMaker Feature Store at a glance

Overview

01

Summary

The useful answer before the supporting detail.

Amazon SageMaker Feature Store is a fully managed service for machine learning features S122. It helps ML teams ingest features from streaming and batch sources, transform data into features, and build pipelines that support MLOps practices S122. The service enables storing, sharing, and managing features for training and inference, promoting reuse across ML applications S122.

02

Product identity and positioning

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

  • Identity: Amazon SageMaker Feature Store, a fully managed service for machine learning features S122.
  • Core purpose: Solves the problem of managing and reusing ML features across applications S122.
  • Intended users: Machine learning teams and data scientists building and deploying models S122.
  • Product scope: A single service within the SageMaker AI suite, focused on feature storage and management S122.
  • Positioning: Positioned as a fully managed solution that speeds time to model deployment S122.
  • Claimed distinction: Enables feature reuse and sharing across ML applications S122.
03

Use cases and audiences

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

AudiencePractical use case
ML teamsIngest features from streaming and batch sources to support model training S122.
Data scientistsTransform data into ML features and build pipelines to speed time to model deployment S122.
MLOps engineersStore, share, and manage features for training and inference to promote reuse across applications S122.

Features

09

Features and capabilities

Core functions and evidence-backed product capabilities.

CapabilityWhat it does
Ingest featuresIngest features from any data source including streaming and batch such as application logs, service logs, clickstreams, sensors, and tabular data from AWS or third-party sources S122.
Transform data into featuresTransform data into ML features and build feature pipelines that support MLOps practices and speed time to model deployment S122.
Store and manage featuresStore, share, and manage ML model features for training and inference to promote feature reuse across ML applications S122.
Feature catalog and searchProvides feature storage, catalog, search, and reuse capabilities S122.
Granular access controlSupports granular control over how shared ML features are accessed to meet security and compliance needs S122.
10

Integrations and ecosystem

Connected products, exports, APIs, and workflow compatibility.

Integration or interfaceTypeWhat it enables
AWS data sourcesIntegrationIngest features from AWS data sources such as application logs, service logs, clickstreams, and sensors S122.
Third-party data sourcesIntegrationIngest features from third-party data sources S122.
SageMaker AI suiteIntegrationPart of the SageMaker AI suite, enabling integration with other SageMaker services for ML workflows S122.

Pricing

11

Pricing and plans

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

Plan or offerVerified price and billingIncludedLimits
On-demand writes$1.25 per million write units, pay as you go S86Not establishedRate shown in the pricing example S86
On-demand reads$0.25 per million read units, pay as you go S86Not establishedRate shown in the pricing example S86
Online storage$0.45 per GB-month, pay as you go S86Not establishedRate implied by the pricing example S86
Provisioned capacityNot publishedPay per provisioned unit S86Charged whether or not capacity is used S86
In-memory online storeNot publishedPay as you go S86Minimum 5 GiB storage charge per hour S86
Free tierFirst 2 months: 10 million write units, 10 million read units, and 25 GB storage on the standard online store S86Not establishedNot established

Competition

12

Competitive landscape

Domains competing for the same organic search demand.

Sampled competitors

CompetitorFirst-page appearancesSampled queriesAverage positionQueries observed
spr.com223.56 r's, 6 rs
netapp.com227.56 r's, 6 rs
gdt.com1126 r's
learn.microsoft.com1126 rs
comsoltx.com1136 r's
lucid.co1136 rs
dev.to1146 r's
leanix.net1146 rs
wigan.gov.uk1156 r's
interlaced.io1156 rs

Website intelligence — Collected evidence

Customers, testimonials, and first-party review claims

No supporting public-page evidence was collected for this category.

Independent review sources discovered

No links to supported independent review platforms were discovered on the collected pages.

14

AI visibility

Measured ChatGPT and Google AI mentions with cited sources.

AI-assistant referral traffic

  • Estimated current generative-AI referral share: 1.5%
MonthSource
—All AI assistants
—All AI assistants
—All AI assistants

Website intelligence — Collected evidence

Site-stated AI capabilities

Page typeEvidenceSource
featuresUse agent mode for a conversational discovery experience that’s purpose-built for software procurement. Describe your use case, ask questions, compare products side-by-side, and generate customized purchasing proposals. Use the AI-enhanced search to discover solutions for your use case and start evaluating your options on product pages or in agent mode.https://aws.amazon.com/marketplace/features
featuresAccess thousands of customer reviews and compare similar products side-by-side to help inform your decision. Request product demos and custom pricing directly from product pages to contact sellers quickly.https://aws.amazon.com/marketplace/features
featuresLaunch templated Single Pane of Glass dashboards to get insights and granular visibility into your software procurement. For a high-level overview of your spend and agreements, access the procurement insights dashboard in the AWS Marketplace console.https://aws.amazon.com/marketplace/features
featuresAI platforms that can help you simplify data experimentation and formulate deeper insights from disparate sources across your data estate.https://aws.amazon.com/marketplace/solutions
featuresDS Smith Enhances Procurement Spending Insights Using ML-powered Solution from Exponentia.ai on AWShttps://aws.amazon.com/security/partner-solutions/
featuresWhether you're looking to cut costs, protect your data, reach more customers, or put AI to work, find the right cloud solution for your business in minutes, not months. Start on your own or get matched with a trusted AWS Partner.https://aws.amazon.com/smart-business/solutions/
featuresWithout a dedicated IT team, every technology decision falls on you. You can't afford downtime, a data breach, or to fall behind on AI. The right cloud solution, set up by the right AWS Partner, handles the complexity—so you can stay focused on growing your business.https://aws.amazon.com/smart-business/solutions/
featuresPut AI to work—without a big teamhttps://aws.amazon.com/smart-business/solutions/
featuresWith DeepRacer on AWS you'll learn fundamental concepts, skills, and machine learning (ML) training techniques that power foundation models in some of the most advanced generative AI applications today through the fun of racing autonomous cars.https://aws.amazon.com/solutions/
featuresGenerative AI Deployments using Amazon SageMaker JumpStarthttps://aws.amazon.com/solutions/
featuresThis Guidance demonstrates how to deploy a generative artificial intelligence (AI) model provided by Amazon SageMaker JumpStart to create an asynchronous SageMaker endpoint with the ease of the AWS Cloud Development Kit (AWS CDK).https://aws.amazon.com/solutions/
features](https://docs.aws.amazon.com/solutions/generative-ai-deployments-using-amazon-sagemaker-jumpstart/)https://aws.amazon.com/solutions/
pricingFor AWS Compute and AWS Machine Learning, Savings Plans offer savings over On-Demand in exchange for a commitment to use a specific amount (measured in $/hour) of an AWS service or a category of services, for a one- or three-year period.https://aws.amazon.com/pricing/
pricingSavings Plans is a flexible pricing model that provides significant savings on your AWS usage. This pricing model offers lower prices on AWS Compute and AWS Machine Learning. Savings Plans offer savings over On-Demand in exchange for a commitment to use a specific amount (measured in $/hour) of an AWS service or a category of services, for a one- or three-year period.https://aws.amazon.com/pricing/
pricingAmazon Bedrock offers select foundation models (FMs) from leading AI providers like Anthropic, Meta, Mistral AI, and Amazon for batch inference at a 50% lower price compared to on-demand inference pricing. To learn more about Batch, click [here](https://docs.aws.amazon.com/bedrock/latest/userguide/batch-inference.html "batch tier"). Please refer to model list [here](https://docs.aws.amazon.com/bedrock/latest/userguide/batch-inference-supported.html "model list").https://aws.amazon.com/bedrock/pricing/

These are first-party product claims, not independent measurements of AI-search visibility.

15

Marketing opportunities

Actions calculated directly from the collected evidence.

OpportunityRecommended actionEvidence
Competitor gap2 first-page appearances across 6 r's, 6 rs

Website intelligence — Collected evidence

Website evidence gaps

  • integrations: no usable public page was collected; verify whether the site publishes this evidence.
  • customers: no usable public page was collected; verify whether the site publishes this evidence.
  • reviews: no usable public page was collected; verify whether the site publishes this evidence.
  • changes: no usable public page was collected; verify whether the site publishes this evidence.
  • identity: 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

16

Customers, proof, and reviews

Published proof, customer signals, and review evidence.

Independent reviews

PlatformPageHow it was foundNote
TrustpilotAws Amazon Reviews / Read Customer Service Reviews of aws.amazon.comGrounded web search# Aws Amazon Reviews 366 ... Most reviewers were let down by their experience overall. Consumers express widespread dissatisfaction with the service provided by the company. People have voiced concerns about various aspects, including the service itself, the company website, and the level of customer service they received. The user experience has also been a significant point of criticism, with many reviewers finding it subpar. Furthermore, several consumers have raised issues with payment proce
Bernard MarrDelivery Hero and AWS: Cost Optimization in the Cloud / Bernard MarrGrounded web searchAWS cloud services enabled Delivery Hero to undertake several initiatives aimed at reducing costs while maintaining service levels. One of these was increasing the use of “spot instances” – an AWS feature that allows its customers to utilize spare cloud computing capacity (Amazon Elastic Cloud Compute) at significantly reduced costs. Krenz told me that some of their teams managed to move up to 90 percent of their workloads onto these spot instances, leading to substantial savings with no impact

Customer proof

Proof typeNamed customer or sourceEvidence
Case studyBooking.comcustomer case study — Booking.com is one of the world’s largest online travel platforms. (How Booking.com manages Amazon Connect Customer flows as code at scale / AWS Contact Center)
Case studyU.S. Bankcustomer case study — U.S. (How U.S. Bank migrated 119 TB from Oracle Exadata to Amazon RDS for Oracle / AWS Database Blog)
Case studycitiustech.comcustomer case study — The customer, a global pharmaceutical and medical device company, wanted to revolutionize their cataract refractive suite to deliver a better experience to their consumers ... (CitiusTech modernizes cataract surgery planning platform for a global pharma company)
Case studymsp360.comcustomer case study — ’s IT department successfully backed up over 1.5 ... (CloudBerry Case Study 032217)

Independent mentions

  • How Octave built a secure multi-tenant AI foundation on Amazon Bedrock / Artificial Intelligence — # How Octave built a secure multi-tenant AI foundation on Amazon Bedrock ... . Its cloud-native quality management system, Reliance, supports over 650 enterprise customers ... over 40 applications, from complaint management and CAPA tracking to audit
  • ClearDATA and AWS Help CareCloud Run a HIPAA — ## ClearDATA and AWS Help CareCloud Run a HIPAA ## Compliant SaaS Platform on ... chose to partner with ClearDATA, an Amazon Web Services (AWS) APN ... Healthcare Competency Partner. CareCloud runs its primary application platform on the ClearDATA
  • Launching streaming services in 15 minutes on AWS with Vimond — At Vimond, we believe professional-grade streaming should be accessible to every content creator. By re-architecting our platform on AWS, we’ve optimised our operations to deliver significant benefits directly to our customers: a 35% reduction in infrastructure costs and the ability to deploy fully functional streaming apps in under 15 minutes. Our AWS-powered ecosystem lets you scale your business efficiently, paying only for what you use, while reaching global audiences in over 30 languages. T
  • How healthcare startups are building a modern data platform using AWS / YourStory — Held on December 9, 2021, the 90-minute session included exclusive AWS customer testimonials where AWS experts and customers discussed various use cases of AWS’ data platform. Ajay Tiwari, CTO, HealthKart spoke at length on ‘Building real-time analytics pipeline using AWS’ and Shafeeq Ahmed, Director - Data & Infrastructure, Mfine shared his expertise on ‘Secure and scalable healthcare services on AWS’.

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.

17

Company, security, and trust

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

SignalFindingSource
Company and ownershipYou pay for requests made against your S3 buckets and objects. S3 request costs are based on the request type, and are charged on the quantity of requests as listed in the table below. When you use the Amazon S3 consolesource
Contact and supportWhat if your CX team could anticipate a customer's needs and resolve them before they even pick up the phone? Agentic AI makes it possible - and with agentic CX designer, business users can build those experiences themsesource
Legal and privacyBeginning of dialog window. Escape will cancel and close the window.source
Security and complianceYes. Amazon Connect Customer keeps data, models, and conversation logic within one AWS trust boundary. HIPAA eligible, with support for PCI DSS, FedRAMP, SOC, ISO 27001, and GDPR. All data encrypted at rest and in transisource
Uptime and status pageNot published on the collected pages.—
Domain registered1994-11-01—
Domain expires2027-10-31—

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.

18

Documentation and product updates

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

Resource or updateTypeWhat is availableDate or freshness
Managed Relational Database - Amazon RDS Pricing - Amazon Web ServicesStatus pagePublic service-status information. (source)Not dated

Not found in the collected public sources: public roadmap, changelog or release notes, separate help center or knowledge base.

Technical

19

Technical and delivery signals

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

SignalFindingSource
Delivery model (cloud, self-hosted, desktop, browser extension)Fully managed service on AWS cloud S122.S122
Platforms and appsWeb-based service via AWS S122.S122
API and extensibility (API, SDK, webhooks, MCP, plugins)Not published on the collected pages.—
Data ownership and exportNot published on the collected pages.—
Performance and reliability claimsNot published on the collected pages.—
Release activityNot published on the collected pages.—
20

Measured infrastructure

Domain, certificate, and hosting signals, measured directly.

SignalFinding
TLS certificateAmazon, valid, expires 2027-03-04
Security headersHSTS, X-Content-Type-Options, X-Frame-Options
Headers not servedCSP, Referrer-Policy
Server headerServer
Nameserversns-905.awsdns-49.net, ns-106.awsdns-13.com

Not measurable: wayback: rate limited by archive.org, ladder stopped after 1 probe(s); rdap: HTTP 404; rdap: exceeded the overall budget; wayback: exceeded the overall budget; tls: exceeded the overall budget; dns: exceeded the overall budget; headers: exceeded the overall budget. A gap here means the lookup was unavailable, not that the finding is negative.

21

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: 99/100
  • Critical issues: 0
  • Warnings: 2
  • Notices: 5

Issues

SeverityIssueValueAffected URL
warningTitle length should be reviewed67https://aws.amazon.com/contact-us/
warningTitle length should be reviewed82https://aws.amazon.com/events/reinvent/
noticeMeta description length should be reviewed195https://aws.amazon.com/events/reinvent/
noticeMeta description length should be reviewed211https://aws.amazon.com/data/resources/data-foundation-for-agentic-ai/
noticePage is marked noindex—https://aws.amazon.com/resources/analyst-reports/gartner/global-mq-ardm-26-magic-quadrant-for-strategic-cloud-platform-services/
noticeMeta description length should be reviewed177https://aws.amazon.com/what-is-aws/
noticeMeta description length should be reviewed212https://aws.amazon.com/compliance/

Crawled pages

StatusTitleH1sWordsResponseURL
200Cloud Computing Services - Amazon Web Services (AWS)1146482 mshttps://aws.amazon.com/
200AWS Support and Customer Service Contact Info \Amazon Web Services1113639 ms
200AWS Marketplace: Homepage11660508 mshttps://aws.amazon.com/marketplace
200AWS re:Invent 2026 \The Premier Cloud and AI Conference \Nov 30-Dec 4, Las Vegas11371
200Build & Ship AI Agents: From Pilot to Production – AWS1189165 mshttps://aws.amazon.com/ai/build-ai-agents/
200Get started fast with AWS \Free account and spending controls1207173 ms
200Building a Data Foundation for Agentic AI \AWS Guide1484293 ms
200Gartner \Magic Quadrant for Strategic Cloud Platform Services1126240 ms
200AI Solutions for Small and Medium Businesses - AWS1190484 mshttps://aws.amazon.com/smart-business/solutions/artificial-intelligence-small-medium-business/
200What’s New at AWS – Cloud Innovation & News188048 mshttps://aws.amazon.com/new/
200AWS Blogs - Cloud news & innovation \Amazon Web Services (AWS)192738 ms
200Why Choose AWS? The World's Leading Cloud \Amazon Web Services1153853 ms
200Getting Started - Cloud Computing Tutorials for Building on AWS1128059 mshttps://aws.amazon.com/getting-started/
200Cloud Security – Amazon Web Services (AWS)1152543 mshttps://aws.amazon.com/security/
200Cloud Compliance - Amazon Web Services (AWS)1136057 mshttps://aws.amazon.com/compliance/

This is a bounded Scout crawl. Core Web Vitals and Lighthouse scores are not claimed unless a dedicated performance audit is connected.

22

Search Console and Analytics

First-party search and behavioral data connection state.

Modeled acquisition channels

ChannelEstimated share
direct47.6%
search21.1%
search organic16.2%
search paid4.9%
social4.1%
social organic3.8%
social paid0.2%
referrals19.6%
paid referrals3.3%
mail2.8%
gen ai1.5%
affiliate0.0%
other0.0%

First-party connections

IntegrationStatusData available after connection
Google Search ConsoleNot connectedClicks, impressions, CTR, average position, queries, pages, countries, and devices
Google AnalyticsNot connectedOrganic 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

23

Limitations and open questions

Known constraints and missing evidence from the collected pages.

The collected pages focus on the product's capabilities and pricing but do not mention specific limitations or competitors. Evidence gaps include lack of customer reviews, detailed documentation, and integration specifics beyond data sources. Open questions remain about API availability, data export options, and performance guarantees.

24

Sources, method, and limitations

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

This report is based on 15 collected pages from aws.amazon.com, including the SageMaker Feature Store product page, AWS pricing pages, and general AWS overview pages. The evidence catalog includes 180 entries, but only a subset directly pertains to SageMaker Feature Store. External proof search was enabled but did not yield additional verification. Limitations include potential marketing bias and lack of independent reviews.

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