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OpenLake review

#19 of 23 in Data Lakehouse Platforms

A governed, open-source lakehouse for teams standardizing on open table formats.

7.2/10Editor score
OpenLake7.2 Visit OpenLake

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

OpenLake is an open-source data lakehouse platform from Blackfell Group for data teams that want governed analytics in customer-owned infrastructure. It combines Trino for interactive SQL, Apache Spark and Polars for ETL, Apache Iceberg for table storage, Nessie for git-like catalog versioning, and Superset for analytics. The platform is available through the web and as a self-hosted deployment, with browser or native-client access to cloud workstations. It is aimed at organizations that value cloud portability, open table formats, and centralized management across enterprise data sources.

The platform’s ecosystem is a central strength. OpenLake brings together Trino, Spark, Iceberg, Nessie, Polars, PostgreSQL, MySQL, Neo4j, Elasticsearch, Tableau, Power BI, and Apache Superset. Teams can manage Trino, Spark, Neo4j, and Elasticsearch through self-service controls, while streaming ingestion, governance cataloging, and external storage support its broader lakehouse design. Natural-language SQL generation and AI-enriched cataloging add assistance around discovery and query creation without replacing the underlying open-source engines.

Governance and operational controls make OpenLake a fit for organizations with defined access and audit requirements. Role-based access control, SSO, MFA, and audit logging are included, alongside per-query cost attribution based on CPU time and data scanned. Deployment through Infrastructure as Code inside the customer’s cloud account gives infrastructure teams a direct role in rollout and administration. Pricing is contact sales, so OpenLake suits buyers prepared to scope a deployment or pilot with the vendor. Teams seeking a narrowly focused SQL tool or a simpler, fixed-price service may prefer a more specialized alternative.

OpenLake pros and cons

  • Where it wins
    • Trino SQL workbench with Spark, Polars, Python, and Bash pipelines
    • Iceberg storage and Nessie catalog provide open formats and versioning
    • RBAC, SSO, MFA, audit logging, and per-query cost attribution
  • Where it doesn't
    • Pricing is handled through contact sales
    • Deployment uses Infrastructure as Code in the customer’s cloud account
    • Its broad platform scope may exceed smaller analytics teams’ needs

OpenLake fact sheet, pricing and score →

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