{
  "slug": "aws-glue",
  "name": "AWS Glue",
  "description": "AWS Glue is a serverless data integration service provided by Amazon Web Services that simplifies the process of discovering, preparing, and combining data for analytics, machine learning, and application development. It provides both visual and code-based interfaces to make data integration easier for varied skill sets.",
  "url": "https://optimly.ai/brand/aws-glue",
  "logoUrl": "",
  "baiScore": 94,
  "archetype": "Challenger",
  "category": "Cloud Computing / Data Engineering",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [
    {
      "slug": "databricks",
      "name": "Databricks"
    },
    {
      "slug": "fivetran",
      "name": "Fivetran"
    }
  ],
  "inboundCompetitors": [
    {
      "slug": "datafusion",
      "name": "DataFusion"
    },
    {
      "slug": "databricks-delta-live-tables",
      "name": "Databricks Delta Live Tables"
    },
    {
      "slug": "etl-middleware",
      "name": "Etl Middleware"
    }
  ],
  "aiAlternatives": [],
  "parentBrand": {
    "slug": "amazon-web-services-aws",
    "name": "Amazon Web Services (AWS)"
  },
  "subBrands": [],
  "updatedAt": "2026-04-11T13:58:24.451+00:00",
  "verifiedVitals": {
    "website": "https://aws.amazon.com/glue/",
    "founded": "2017",
    "headquarters": "Seattle, WA",
    "pricing_model": "Usage-based (DPU-Hours)",
    "core_products": "AWS Glue ETL, AWS Glue Data Catalog, AWS Glue Studio, AWS Glue DataBrew",
    "key_differentiator": "Seamless serverless integration with the AWS ecosystem and the unified Data Catalog that serves as the metadata backbone for an AWS Lake House.",
    "target_markets": "Data Engineers, Data Scientists, Enterprises using AWS",
    "employee_count": "10,000+ (AWS total)",
    "funding_stage": "Public",
    "subcategory": "ETL (Extract, Transform, Load) & Data Cataloging"
  },
  "timestamp": 1775981643097
}