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OpenLake

#19 of 23 in Data Lakehouse Platforms

OpenLake: A governed, open-source lakehouse for teams standardizing on open table formats. Ranked #19 of 23 in Data Lakehouse Platforms by our editors (7.2/10); pricing: Pricing on request; best for open-source browser-based SQL lakehouses.

7.2/10Editor score
OpenLake7.2 Visit OpenLake

At a glance

  • Editor score
    7.2 / 10
  • Pricing
    Pricing on request
  • Best for
    Open-source browser-based SQL lakehouses
  • Storage model
    External
  • Facts checked
    20 Sep 2026
OpenLake screenshot
  • 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

Our verdict on OpenLake

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.

Your product? Our editors can test OpenLake in depth and publish a review, labelled as paid · from $149/mo →

OpenLake pricing

Plans Pricing on request No free plan — trial or paid only. Prices checked 20 Sep 2026.
See plans on openlake.co

OpenLake fact sheet

Free planNot verified
Paid fromNot verified
Storage modelExternal
SQL analyticsYes
ACID transactionsNot verified
Table format supportOpen
Streaming ingestionYes
Governance catalogYes
DeploymentCloud, Self-hosted, Browser extension
PlatformsWeb
Compliance & security2FA
SupportEmail
Built forMid-market, Enterprise (editorial estimate)
Integrations12 integrations: Trino, Apache Spark, Apache Iceberg, Nessie, Apache Superset, PostgreSQL …
PricingPricing on request
Websiteopenlake.co
Facts checked20 Sep 2026

OpenLake integrations

OpenLake lists 12 integrations on its own site.

  • Trino
  • Apache Spark
  • Apache Iceberg
  • Nessie
  • Apache Superset
  • PostgreSQL
  • MySQL
  • Neo4j
  • Elasticsearch
  • Polars
  • Tableau
  • Power BI

Alternatives to OpenLake

See all OpenLake alternatives →

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Featured on iTechGuides

Featured on iTechGuides — OpenLake 7.2/10

OpenLake is listed in our Data Lakehouse Platforms directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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