Unilake

Web · Self-hosted · API

Freedom report

One barScore 5.5

  • Free tierNo free tier on record
  • Open codeNo open-source code on record
  • Runs widely1 of 6 device platforms
  • DocumentedPlans, terms and facts published

Unilake is an open-source data analytics platform for bringing together data integration, governance, modeling, sharing, and analytics for data and AI workloads. It provides more than 350 pre-built connectors through Singer, Airbyte, and Meltano protocols, with options to build custom integrations, including a low-code route. Data loading includes full and incremental loads, streaming ingestion, API flattening, and privacy transformations. A single interface can query and combine Iceberg, Delta, Hudi, Kudu, and Paimon data. The platform also describes cataloging, search, lineage, data quality checks, and automated classification. Governance includes attribute-based controls, context-aware rules, and just-in-time access; identity and audit capabilities include SAML 2.0 or OpenID Connect, SCIM provisioning, and immutable exportable logs. It can run on cloud, hybrid, or on-premises infrastructure, with a Kubernetes cluster and storage as minimum stated requirements. Unilake is licensed under AGPL 3.0 and EUPL 1.2, is in active development toward an Alpha release, and lists AI/ML as on roadmap.

Who it is for

Unilake may suit teams building a governed data platform across cloud, hybrid, or on-premises environments. Its current development status and Kubernetes and storage requirements are important considerations.

What is good

  • More than 350 pre-built connectors
  • Combines five open table formats
  • Supports full, incremental, and streaming ingestion
  • Includes governance, cataloging, and lineage

What to know first

  • Requires a Kubernetes cluster and storage
  • Still in active development toward Alpha
  • AI/ML product is on the roadmap

Verdict

Unilake brings integration, analytics, and governance capabilities together under open-source licenses. Its development status, infrastructure requirements, and roadmap-labeled AI/ML offering should factor into an evaluation.

Compared on data lake software

Deployment model
hybrid
Ingestion modes
both
Metadata catalog
Yes
Governance controls
Yes
Query interface
sql
Open table formats
Yes
Data sharing
Yes

Best Unilake alternatives

See all 16