OC

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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