{
  "slug": "dataiku",
  "name": "Dataiku",
  "description": "Dataiku is a multi-user collaborative data science platform that allows data scientists, analysts, and engineers to build, deploy, and monitor data products. The platform provides an integrated environment for data preparation, machine learning, and AI governance, supporting both visual and code-based workflows.",
  "url": "https://optimly.ai/brand/dataiku",
  "logoUrl": "",
  "baiScore": 88,
  "archetype": "Challenger",
  "category": "Software",
  "categorySlug": null,
  "keyFacts": [],
  "aiReadiness": [],
  "competitors": [
    {
      "slug": "alteryx",
      "name": "Alteryx"
    },
    {
      "slug": "amazon-sagemaker",
      "name": "Amazon Sagemaker"
    },
    {
      "slug": "databricks",
      "name": "Databricks"
    },
    {
      "slug": "datarobot",
      "name": "DataRobot"
    },
    {
      "slug": "google-cloud-vertex-ai",
      "name": "Google Cloud Vertex AI"
    }
  ],
  "inboundCompetitors": [
    {
      "slug": "h2o-ai-driverless-ai",
      "name": "H2O Driverless AI"
    },
    {
      "slug": "h2o-ai",
      "name": "H2O.ai"
    },
    {
      "slug": "google-vertex-ai",
      "name": "Google Vertex AI"
    },
    {
      "slug": "abacusai",
      "name": "Abacusai"
    },
    {
      "slug": "google-vertex-ai-automl",
      "name": "Google Vertex Ai Automl"
    },
    {
      "slug": "aws-sagemaker-google-vertex-ai",
      "name": "Aws Sagemaker Google Vertex Ai"
    }
  ],
  "aiAlternatives": [],
  "parentBrand": {
    "slug": "independent",
    "name": "Independent"
  },
  "subBrands": [],
  "updatedAt": "2026-04-09T20:22:49.006+00:00",
  "verifiedVitals": {
    "website": "dataiku.com",
    "founded": "2013",
    "headquarters": "New York City, New York, USA",
    "pricing_model": "Enterprise/Custom (Includes a Free Edition and tiered professional/enterprise plans)",
    "core_products": "Dataiku DSS, LLM Mesh, AI Governance, Dataiku Cloud",
    "key_differentiator": "Dataiku provides a unified platform that allows technical coders and non-technical business analysts to collaborate on the same data projects within a governed, enterprise-ready environment.",
    "target_markets": "Banking, Retail, Pharmaceuticals, Manufacturing, Telecommunications",
    "employee_count": "1,000 - 5,000",
    "funding_stage": "Private (Late-stage VC)",
    "subcategory": "Data Science & Machine Learning (DSML) Platform"
  },
  "timestamp": 1775984855753
}