Open-source data lakehouse platform

A production-grade lakehouse.
Deployed in weeks, not years.

OpenLake bundles the best of open source - Trino, Apache Spark, Apache Iceberg - into one managed platform, deployed entirely inside your cloud account with repeatable Infrastructure as Code. Your data, your infrastructure, your terms.

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Built on proven open source

  • Trino
  • Apache Spark
  • Apache Iceberg
  • Nessie
  • Apache Superset
  • PostgreSQL
  • Neo4j
  • Elasticsearch
  • Polars
Why OpenLake

Databricks-class capability. None of the lock-in.

Every OpenLake deployment is built from open-source components and delivered as Infrastructure as Code into an account you own. Walk away any time and keep everything: the data, the infrastructure, and the code.

Open Source

Leading OSS components bundled into a managed, SaaS-like experience - without per-seat licensing or usage meters that punish growth.

Cloud Agnostic

Deployable via repeatable IaC to any cloud. Portable, vendor neutral, and reproducible - a new account or region is a parameter change, not a project.

User Friendly

Point-and-click interfaces let analysts run ETL, query the lake, and spin up their own workstations - no infrastructure team in the loop.

Automated

Elastic scaling that handles any data volume without intervention. Ephemeral compute spins up for the job and tears itself down when done.

Security First

Single sign-on end to end, role-based access control, encryption everywhere, and full audit trails - governance built in, not bolted on.

AI/ML First

Natural-language SQL, AI-enriched data cataloging, and an AI data-ops agent that triages incidents - built into the platform, running in your account.

One pane of glass

Your entire data estate, in one web app

The OpenLake application is the front door for analysts, engineers, and admins alike: query the lake, schedule ingest, launch compute, manage users - all from a browser, all governed by the same single sign-on.

SQL Query Workbench

Run interactive SQL against the lake with Trino - or describe what you want in plain English and let OpenLake write the query, grounded in your own catalog.

Ingest Monitor

Schedule and monitor ETL jobs in Spark, Polars, Python, or Bash. Cluster jobs launch ephemeral compute that deletes itself when the job completes.

Cloud Workstations

On-demand analyst desktops in the browser or over a secure tunnel - preloaded with data tooling and direct, governed access to the lake.

Self-Service Infrastructure

Launch and manage Trino, Spark, web apps, Neo4j, and Elasticsearch from the UI. Point-and-click operations backed by battle-tested IaC templates.

Cost Transparency

Per-query cost attribution shows exactly what each workload costs - measured CPU-time and data scanned, priced at your real infrastructure rates.

Admin & Governance

Users, secrets, logs, audit trails, and platform health in one place - integrated with your identity provider as the single source of truth.

See the full platform tour →

100%Infrastructure & data ownership
0Vendor lock-in
60+Analysts on one production deployment
5+Years in stable production
From kickoff to production

Deployed in weeks, with security in parallel from day one

OpenLake is delivered by an embedded engineering team working from repeatable IaC playbooks - so timelines are measured in weeks, and every environment we leave behind is one your team can own and operate.

How we deliver
  1. Assess1 week

    Scope data sources and set the security baseline.

  2. Pilot2-4 weeks

    Provision IaC and deploy core services into your account.

  3. Validate

    End-to-end user acceptance testing and performance checks.

  4. Scale2-4 weeks

    Production load, full observability, and operational hand-off.

  5. Train

    Knowledge transfer so your team runs the platform with confidence.

Proven in production

One platform for an entire enterprise

A single OpenLake environment replaced fragmented manual processes across 30+ data sources - a secure, scalable single pane of glass that has run in production for over five years.

DimensionImpact
60+ usersAnalysts, data scientists, and engineers working in one governed environment
30+ sourcesDatabases, APIs, S3 feeds, and files unified in the lakehouse
15+ groupsRole-based access control mapped to real organizational boundaries
5+ yearsContinuous, stable production operation
AutomatedManual ingests replaced by scheduled, monitored pipelines

See OpenLake on your data

A live demo takes 30 minutes. A pilot in your own account takes weeks.

Request a demo