{
  "slug": "datahub-acryl-data",
  "name": "DataHub (Acryl Data)",
  "description": "Acryl Data is the commercial company focused on the DataHub ecosystem, providing an enterprise-grade 'Active Metadata' platform. It enables organizations to discover, govern, and observe their data through a managed version of the open-source DataHub project.",
  "url": "https://optimly.ai/brand/datahub-acryl-data",
  "websiteUrl": null,
  "logoUrl": "",
  "baiScore": 72,
  "bai_tier_status": "active",
  "bai_score_status": "active",
  "archetype": "Challenger",
  "archetype_status": "active",
  "category": "Data Infrastructure",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [
    {
      "slug": "alation",
      "name": "Alation"
    },
    {
      "slug": "atlan",
      "name": "Atlan"
    },
    {
      "slug": "collibra",
      "name": "Collibra"
    }
  ],
  "competitorsProse": null,
  "inboundCompetitors": [],
  "aiAlternatives": [],
  "parentBrand": null,
  "subBrands": [],
  "updatedAt": "2026-04-10T08:05:19.024+00:00",
  "verifiedVitals": {
    "website": "https://www.acryldata.io",
    "founded": "2020",
    "headquarters": "Palo Alto, CA",
    "pricing_model": "Freemium (Open Source is free; Acryl Cloud is Subscription/Enterprise)",
    "core_products": "Acryl Cloud (Managed DataHub), Acryl Observe, DataHub Open Source",
    "key_differentiator": "Leverages an architecture born at LinkedIn that treats metadata as a real-time stream rather than a static crawl, enabling 'active' automation and governance.",
    "target_markets": "Data-driven enterprises, Fintech, Healthtech, High-growth SaaS companies",
    "employee_count": "50-100",
    "funding_stage": "Series B",
    "subcategory": "Metadata Management & Data Cataloging"
  },
  "intentTags": {
    "problemIntents": [
      "Manual Metadata Cataloging: Custom scripts using Python or SQL to crawl databases and push metadata into a central wiki or documentation site.",
      "Open Source DataHub DIY: Setting up a bare-bones open-source instance of DataHub without the enterprise features or support provided by Acryl Data.",
      "In-house Discovery Portal: Internal data engineering teams tasked with building a custom discovery portal using tools like Elasticsearch and Kibana."
    ],
    "solutionIntents": [
      "open source metadata catalog",
      "linkedin datahub commercial version",
      "best data observability platform for snowflake",
      "active metadata management tools",
      "automated data lineage solutions for big query"
    ],
    "evaluationIntents": []
  },
  "timestamp": 1782224577399
}