AWS Lake Formation

AWS Lake Formation is a fully managed service that makes it easy to build, secure, and manage data lakes. It simplifies and automates many of the complex manual steps usually required to create data lakes, including collecting, cleansing, cataloging, and securely sharing data, with centralized governance and fine-grained access control across your analytics and machine learning services.

AWS Lake Formation publishes 1 API on the APIs.io network: Databases API. Tagged areas include Analytics, Data Lake, and Governance.

The AWS Lake Formation catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.

AWS Lake Formation’s developer surface includes authentication, developer portal, documentation, support, developer console, signup flow, and 14 more developer resources.

🌐 Visit website 📡 Source on GitHub

65.4/100 strong ▬ flat Agent 31/100 agent aware Full breakdown ↓
scored 2026-07-28 · rubric v0.6

AccessFreemiumSelf serve⚡ Free to try

1 APIs 5 Features 3 Use Cases

AnalyticsData LakeGovernance

Kin Score

Kin Score How this is scored →
scored 2026-07-28 · rubric v0.6

Composite quality — 65.4/100 · strong

Contract Quality 18.7 / 25

Developer Ergonomics 8.7 / 20

Commercial Clarity 16.3 / 20

Operational Transparency 6.8 / 13

Governance 8.3 / 12

Discoverability 6.7 / 10

Agent readiness — 31/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/amazon-lakeformation: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Rate Limits 1

Documented rate limits and quota policies.

Amazon Lakeformation Rate Limits

5 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Amazon Lakeformation Finops

FINOPS

Features 5

Notable capabilities this provider offers.

Data Lake Setup

Set up a secure data lake in days with centralized governance and automated data ingestion.

Governed Tables

ACID transactions, row-level security, and automatic compaction for governed tables.

Fine-Grained Access Control

Column, row, and cell-level security policies enforced across analytics engines.

Blueprints

Pre-built workflows to ingest data from common data sources into the data lake.

Data Sharing

Share data across accounts and organizations with fine-grained permissions.

JSON Schema 2

Standalone JSON Schema definitions for this provider's data models.

Examples 2

Example request and response payloads for these APIs.

AGENTIC

Use Cases 3

What developers build with this provider.

Enterprise Data Lake

Build a centralized data lake with governed access for analytics teams.

Data Mesh

Implement a data mesh architecture with cross-account data sharing and governance.

Compliance Governance

Enforce data access policies for GDPR, HIPAA, and other compliance requirements.

Integrations 4

Pre-built integrations with other platforms and tools.

Amazon S3

Store and manage data lake content in S3 with Lake Formation governance.

AWS Glue

Catalog data and run ETL jobs with Glue, governed by Lake Formation.

Amazon EMR

Process large datasets with EMR Spark, respecting Lake Formation permissions.

Amazon QuickSight

Visualize data lake content with QuickSight enforcing Lake Formation policies.

Resources

Get Started 5

Portal, sign-up, and the first successful call

Portal

Portal

Console

Signup

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

SpectralRules

SpectralRules

Vocabulary

Vocabulary

Build 2

SDKs, sample code, and the tooling you integrate with

PostmanWorkspace

PostmanWorkspace

GitHubOrganization

GitHubOrganization

Access & Security 4

Authentication, authorization, and security posture

TrustCenter

TrustCenter

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 3

Status, limits, changes, and where to get help

Support

Support

StatusPage

StatusPage

Contact

Contact

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Source (apis.yml)

name: AWS Lake Formation
description: AWS Lake Formation is a fully managed service that makes it easy to build, secure, and manage data lakes. It
  simplifies and automates many of the complex manual steps usually required to create data lakes, including collecting, cleansing,
  cataloging, and securely sharing data, with centralized governance and fine-grained access control across your analytics
  and machine learning services.
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  label: Freemium · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://a0.awsstatic.com/libra-css/images/logos/aws_logo_smile_1200x630.png
url: https://aws.amazon.com/lake-formation/
created: '2024-01-15'
modified: '2026-05-19'
apis:
- aid: amazon-lakeformation:amazon-lakeformation-databases-api
  name: AWS Lake Formation Databases API
  description: Data Catalog database management
  humanURL: https://aws.amazon.com/lake-formation/
  baseURL: https://lakeformation.amazonaws.com
  tags:
  - Databases
  properties:
  - type: OpenAPI
    url: openapi/amazon-lakeformation-databases-api-openapi.yml
  - type: Documentation
    url: https://docs.aws.amazon.com/lake-formation/
  - type: Pricing
    url: https://aws.amazon.com/lake-formation/pricing/
  - type: GettingStarted
    url: https://aws.amazon.com/lake-formation/getting-started/
  - type: FAQ
    url: https://aws.amazon.com/lake-formation/faqs/
  - type: JSONSchema
    url: json-schema/amazon-lakeformation-database-schema.json
  - type: JSONSchema
    url: json-schema/amazon-lakeformation-data-cells-filter-schema.json
  - type: JSONLD
    url: json-ld/amazon-lakeformation-context.jsonld
common:
- type: PostmanWorkspace
  url: https://www.postman.com/kinlaneapi/aws-lake-formation/overview
- type: AgenticAccess
  url: agentic-access/amazon-lakeformation-agentic-access.yml
- type: TrustCenter
  url: security/amazon-lakeformation-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/amazon-lakeformation-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/amazon-lakeformation-domain-security.yml
- type: Authentication
  url: authentication/amazon-lakeformation-authentication.yml
- type: Portal
  url: https://aws.amazon.com/
- type: Portal
  url: https://aws.amazon.com/lake-formation/
- type: Documentation
  url: https://docs.aws.amazon.com/lake-formation/
- type: TermsOfService
  url: https://aws.amazon.com/service-terms/
- type: PrivacyPolicy
  url: https://aws.amazon.com/privacy/
- type: Support
  url: https://aws.amazon.com/premiumsupport/
- type: GitHubOrganization
  url: https://github.com/aws
- type: Console
  url: https://console.aws.amazon.com/lakeformation/
- type: Signup
  url: https://signin.aws.amazon.com/signup?request_type=register
- type: Login
  url: https://aws.amazon.com/console/
- type: StatusPage
  url: https://health.aws.amazon.com/health/status
- type: Contact
  url: https://aws.amazon.com/contact-us/
- type: Features
  data:
  - name: Data Lake Setup
    description: Set up a secure data lake in days with centralized governance and automated data ingestion.
  - name: Governed Tables
    description: ACID transactions, row-level security, and automatic compaction for governed tables.
  - name: Fine-Grained Access Control
    description: Column, row, and cell-level security policies enforced across analytics engines.
  - name: Blueprints
    description: Pre-built workflows to ingest data from common data sources into the data lake.
  - name: Data Sharing
    description: Share data across accounts and organizations with fine-grained permissions.
- type: UseCases
  data:
  - name: Enterprise Data Lake
    description: Build a centralized data lake with governed access for analytics teams.
  - name: Data Mesh
    description: Implement a data mesh architecture with cross-account data sharing and governance.
  - name: Compliance Governance
    description: Enforce data access policies for GDPR, HIPAA, and other compliance requirements.
- type: Integrations
  data:
  - name: Amazon S3
    description: Store and manage data lake content in S3 with Lake Formation governance.
  - name: AWS Glue
    description: Catalog data and run ETL jobs with Glue, governed by Lake Formation.
  - name: Amazon EMR
    description: Process large datasets with EMR Spark, respecting Lake Formation permissions.
  - name: Amazon QuickSight
    description: Visualize data lake content with QuickSight enforcing Lake Formation policies.
- type: SpectralRules
  url: rules/amazon-lakeformation-spectral-rules.yml
- type: Vocabulary
  url: vocabulary/amazon-lakeformation-vocabulary.yaml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
  url: https://apievangelist.com
tags:
- Analytics
- AWS
- Data Lake
- Governance