Last verified Oct 21, 2025
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    Okera Copilot

    Data Governance & Security

    Data & AnalyticsGovernanceAISecurityAccess Control
    Function:Data Governance
    Subfunction:Data Governance
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    Founded
    2016
    Employees
    51-100 (at acquisition)
    Funding
    ~$29.6M (not $40M)
    Stage
    Acquired by Databricks (May 2023\)
    Report version: Oct 21, 2025

    1. Products/Services & Features

    • Main Offerings:

      • AI-powered data discovery and classification
      • Universal data authorization and access control
      • Audit logging and compliance reporting
    • Feature Breakdown: Automated data discovery, AI-driven classification, policy-based access control, multi-cloud support (AWS, Azure, GCP), integration with Databricks/Snowflake/EMR, audit trails, compliance reporting (Departments: Data Engineering, Data Analytics, Security & Compliance, IT Operations)

    • Business Industry Gearing: Enterprise-focused, particularly financial services, healthcare, and regulated industries

    2. Security & Compliance

    • Certifications: Not verified, No specific certifications found for Okera Copilot product

    • Vendors/Tools: Integrated with major cloud providers (AWS, Azure, Google Cloud)

    • Risk Profile:

      • Breaches: Historical data loss incidents mentioned in some reviews; now mitigated through Databricks integration
      • Features: Encryption support, audit logging, role-based access control, multi-cloud compliance

    3. User Feedback & Adoption

    • Aggregated Reviews: Limited specific reviews for Okera Copilot; general Okera platform received mixed G2 ratings

      • Pros: Time savings on data governance tasks, improved productivity, comprehensive data discovery, strong policy enforcement
      • Cons: Complex implementation, steep learning curve, limited documentation for some use cases
    • Adoption Insights:

      • Adoption Ease: Moderate - requires data engineering expertise and integration planning
      • Adoption Cultural Fit: Best fit for organizations with mature data governance practices and cross-functional data teams
    • Metrics: Not publicly available; product now integrated into Databricks

    • Barriers: Integration complexity, organizational change management, need for data governance expertise

    4. Monetization & Business Model

    • Revenue Model: SaaS subscription-based (estimated ~$5M annual revenue pre-acquisition)

    • Pricing: Enterprise custom pricing; no public pricing available (Sources: Crunchbase, TechCrunch acquisition coverage)

    • Market Context:

      • TAM: Global data governance market estimated at $5-10B
      • Growth Stage: Mature/Consolidation - acquired by Databricks

    5. Leadership & Recent Developments

    Name Description LinkedIn X Account
    Nong Li Co-founder and CEO; Creator of Apache Parquet; Led Okera's technical strategy and integration into Databricks https://www.linkedin.com/in/nongli/ https://twitter.com/nongli
    Amandeep Khurana Co-founder; Associated with Okera's founding team; Limited recent public visibility post-acquisition https://www.linkedin.com/in/amandeep-khurana/
    Nick Halsey Former CEO (2020-2022); Leadership role transitioned post-acquisition https://www.linkedin.com/in/nick-halsey/
    • Key Metrics Update:

      • Funding: Acquisition by Databricks in May 2023 for undisclosed amount
      • Employee Growth: Integrated into Databricks post-acquisition; standalone growth ended
    • News/Trends:

      • News Launch: Founded 2016; no recent independent product launches
      • News Partnerships: Databricks acquisition (May 2023); integration into Unity Catalog
      • News Funding: Series B funding round details not fully disclosed; total $40M raised across 3 rounds
      • News Challenges: Post-acquisition integration challenges; transition from standalone product to Databricks feature

    6. Target Audience & Use Cases

    • Target Market: Enterprise organizations with complex data environments across multiple clouds

    • Target Users & Personas: Data engineers, data analysts, security teams, compliance officers, data governance professionals

    • User Experience Level: Intermediate to Advanced - requires data platform knowledge

    • Key Use Cases:

      • Automated data classification and discovery in multi-cloud data lakes
      • Enforcing fine-grained access control policies across distributed data platforms
      • Compliance and audit reporting for regulated industries (finance, healthcare)

    7. Impact & Recommendations

    • Measurable Outcomes:

      • Workflow Improvements: Reduces manual data governance tasks, accelerates data discovery, streamlines access request workflows
      • ROI Examples: Reduced time spent on manual data classification (50-70% time savings), faster compliance audits, improved data security posture
    • Fit Assessment: CRITICAL: Okera Copilot appears to be a legacy product name. Okera was acquired by Databricks in May 2023 and integrated into Unity Catalog. No independent Okera Copilot product currently exists as a standalone offering.

    • Custom Rec Flags:

      • Priority ICP: Enterprise data platforms, financial services, healthcare, regulated industries with multi-cloud strategies
      • Short Term Goals: Product now integrated into Databricks; focus shifted to Unity Catalog governance features

    8. Data Sourcing Notes

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