AWS Lake Formation

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.
specificationVersion: '0.23'
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