apache/polaris

Health v2 · maintenance only

Adoption not part of the score

2043 stars · 510 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Apache Polaris is an open-source, fully-featured catalog for Apache Iceberg tables that implements the Iceberg REST catalog API. It provides centralized, secure read and write access to Iceberg tables across REST-compatible query engines such as Spark, Flink, Trino, Dremio, StarRocks, and Doris.

Use cases

• manage a central catalog for Apache Iceberg tables across multiple query engines
• self-host an Iceberg REST catalog backed by S3, Azure, or GCS storage
• give Spark, Trino, and Flink interoperable read/write access to the same lakehouse tables
• sync external Iceberg catalogs like Glue or Snowflake into a unified catalog
• organize Iceberg tables into nested namespaces with centralized access control
• run an open catalog for data and AI assets on a lakehouse

When to choose

• you use Apache Iceberg tables and need a vendor-neutral, open source REST catalog
• multiple engines (Spark, Trino, Flink, StarRocks, Doris) must access the same tables
• you want centralized, secure access control over lakehouse tables on S3, Azure, or GCS
• you need to unify internal and external Iceberg catalogs under one catalog service

When to avoid

• your tables are not in Apache Iceberg format
• you need a full query engine rather than a metadata catalog
• you want a fully managed service and prefer a commercial offering over self-hosting
• your storage is not on S3, Azure Blob/ADLS, or Google Cloud Storage

Facets

service · maturity active

database api-framework auth authorization search-engine databases big-data analytics cloud-computing self-hosted jvm cloud self-hosted apache-iceberg iceberg-rest-catalog lakehouse table-catalog metadata-management multi-engine-interoperability open-table-format data-engineering docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="apache/polaris")