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OpenLake

openlake.co

WebAPISelf-hosted
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Spec score 7.6 #10 of 23 in Data Lakehouse Platforms

What it is

OpenLake is a managed data lakehouse platform deployed in a customer’s cloud account, with API, self-hosted, and web access. It combines Trino, Apache Spark, Apache Iceberg, Apache Polaris, Apache Superset, PostgreSQL, Neo4j, Elasticsearch, and Polars. Its browser SQL workbench uses Trino and can draft queries from natural-language prompts grounded in readable catalogs. Teams can schedule and monitor ETL jobs written in Spark, Polars, Python, or Bash, including work on temporary Spark clusters. Analysts can launch preconfigured cloud workstations through a browser or native client over a secure tunnel without public exposure. OpenLake connects Tableau, Power BI, databases, APIs, S3 feeds, and files. It describes SSO with enforced MFA, role-based permissions, managed secrets, network isolation, and audit logs. Deployments can use customer-owned buckets, open Iceberg tables, streaming ingestion, governance catalogs, and offline artifacts in networks without internet egress. AI cataloging, natural-language querying, and incident-triage proposals are included. Pricing is on request.

Spec sheet

Product
OpenLake bundles open-source data lakehouse components into a managed platform deployed inside the customer's cloud account.Read 9 Oct 2026 · openlake.co
Intended users
The platform is aimed at analysts, engineers, and administrators, with the maker highlighting regulated, sovereign, classified, and multi-account organizations.Read 8 Oct 2026 · openlake.co
Deployment
The platform can be deployed to networks with no internet egress using offline artifacts and internal PKI.Read 9 Oct 2026 · openlake.co
Integrations
The platform provides Apache Superset dashboards and BI connectivity for Tableau and Power BI.Read 9 Oct 2026 · openlake.co
Security
OpenLake describes end-to-end SSO with enforced MFA, role-based access, managed secrets, network isolation, and administrative audit logs.Read 8 Oct 2026 · openlake.co
Compliance
OpenLake says it is not a HIPAA-certified product and places compliance configuration and evidence within the customer's own boundary.Read 9 Oct 2026 · openlake.co
Access and security
The platform supports end-to-end SSO, MFA, role-based access, managed secrets, network isolation, and audit logging.Read 9 Oct 2026 · openlake.co
AI features
OpenLake offers AI-assisted data cataloging, natural-language querying, and an incident-triage agent that can propose fixes.Read 9 Oct 2026 · openlake.co
Air-gapped deployments
OpenLake says it supports deployment in networks with no internet egress using offline artifacts and an internal identity model.Read 8 Oct 2026 · openlake.co
Cloud workstations
Users can launch encrypted, preconfigured analyst desktops in a browser or native client, reachable over a secure tunnel without public exposure.Read 9 Oct 2026 · openlake.co
Core technologies
The platform uses Trino, Apache Spark, Apache Iceberg, Apache Superset, PostgreSQL, Neo4j, Elasticsearch, and Polars.Read 9 Oct 2026 · openlake.co
Core technology
The platform includes Trino, Apache Spark, Apache Iceberg, Apache Polaris, Apache Superset, PostgreSQL, Neo4j, Elasticsearch, and Polars.Read 8 Oct 2026 · openlake.co
Cost model
OpenLake says it has no per-seat licenses or consumption credits and attributes query costs using CPU time and data scanned at customer-set rates.Read 9 Oct 2026 · openlake.co
Data ownership
OpenLake says the deployment runs in the customer’s cloud account and uses open Apache Iceberg tables in customer-owned buckets.Read 8 Oct 2026 · openlake.co
Health data
The health-data page describes a FHIR-to-OMOP workflow and says the path has been validated end to end using synthetic patient data.Read 8 Oct 2026 · openlake.co
Health data status
The FHIR-to-OMOP flow has been validated using synthetic patient data; the maker says this is not a claim about production PHI operations.Read 9 Oct 2026 · openlake.co
HIPAA qualification
The maker says OpenLake is not a HIPAA-certified product and describes compliance as depending on the customer’s boundary, configuration, and evidence.Read 8 Oct 2026 · openlake.co
Intended customers
OpenLake positions the platform for regulated, sovereign, classified, and multi-account organizations that need data to remain within their own boundary.Read 9 Oct 2026 · openlake.co
Pipelines
Users can schedule ETL jobs written in Spark, Polars, Python, or Bash, with cron scheduling and centralized logs.Read 9 Oct 2026 · openlake.co
Pricing
The opened maker pages describe customer cloud infrastructure costs and offer a pilot plan with costs, but do not state a product price.Read 8 Oct 2026 · openlake.co
Querying
Its Trino SQL workbench offers natural-language-to-SQL, schema-aware autocomplete, and query history.Read 9 Oct 2026 · openlake.co
Support and delivery
The maker offers a live demo, a one-week scoping assessment, and access to an embedded team for existing customers.Read 8 Oct 2026 · openlake.co
Support and onboarding
The maker describes an embedded engineering team, a one-week scoping assessment, and a customer support channel through the embedded team.Read 9 Oct 2026 · openlake.co

Plans and prices

OpenLake Priced on request Custom pilot plan; deployment scope and cost determined during a one-week assessment Read 9 Oct 2026 · openlake.co

Every OpenLake plan and price →

Strong points and limits

Strong points

  • Runs in the customer’s cloud account
  • Natural-language SQL drafting uses readable catalogs
  • Schedules Spark, Polars, Python, and Bash ETL
  • Supports offline, no-egress deployments
  • Includes SSO, MFA, isolation, and audit logs

Limits

  • Pricing is available only on request
  • Not a HIPAA-certified product
  • Cloud infrastructure costs remain customer costs
  • Compliance depends on customer configuration and evidence

Who it suits

OpenLake suits analysts, engineers, and administrators in regulated, sovereign, classified, or multi-account organizations. It is also aimed at teams that need data to remain within their own cloud boundary.

Verdict

OpenLake combines open lakehouse components with managed workflows, workstations, governance, and security controls. Its customer-cloud deployment and offline support target organizations with strict data-boundary requirements, while pricing and compliance responsibility remain customer-specific.

Where Specifiction places it

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