{
  "slug": "aws-gluelake-formation",
  "name": "Aws Gluelake Formation (AWS Glue + AWS Lake Formation)",
  "description": "AWS Gluelake Formation is an informal or erroneous designation combining two distinct Amazon Web Services: AWS Glue, a serverless data integration service, and AWS Lake Formation, a service that simplifies the setup and security of data lakes. Together, these services provide a framework for crawling data, building a data catalog, and enforcing granular access controls over data stored in Amazon S3.",
  "url": "https://optimly.ai/brand/aws-gluelake-formation",
  "logoUrl": "",
  "baiScore": 25,
  "archetype": "Misread",
  "category": "Cloud Computing",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [
    {
      "slug": "alation",
      "name": "Alation"
    },
    {
      "slug": "databricks-unity-catalog",
      "name": "Databricks Unity Catalog"
    }
  ],
  "inboundCompetitors": [
    {
      "slug": "microsoft-azure-synapse-fabric",
      "name": "Microsoft Fabric (formerly Azure Synapse)"
    }
  ],
  "aiAlternatives": [],
  "parentBrand": {
    "slug": "amazon-web-services-aws",
    "name": "Amazon Web Services (AWS)"
  },
  "subBrands": [
    {
      "slug": "aws-glue",
      "name": "Aws Glue"
    },
    {
      "slug": "aws-lake-formation",
      "name": "Aws Lake Formation"
    }
  ],
  "updatedAt": "2026-04-11T15:55:37.078+00:00",
  "verifiedVitals": {
    "website": "https://aws.amazon.com/glue/ / https://aws.amazon.com/lake-formation/",
    "founded": "2017 (Glue), 2019 (Lake Formation)",
    "headquarters": "Seattle, WA, USA",
    "pricing_model": "Usage-based",
    "core_products": "AWS Glue (ETL, Catalog), AWS Lake Formation (Security, Governance)",
    "key_differentiator": "Provides native, serverless integration between the AWS Data Catalog and S3 with specialized row- and cell-level security.",
    "target_markets": "Enterprise Data Engineering, Data Analysts, Cloud Architects",
    "employee_count": "10,000+ (AWS total)",
    "funding_stage": "Public (AMZN)",
    "subcategory": "Data Integration and Governance"
  },
  "timestamp": 1776020012329
}