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Brief

Apache Polaris

Data Infrastructure

Provides a vendor-neutral, open-source REST catalog for Apache Iceberg that eliminates data lakehouse vendor lock-in while enabling interoperability across any Iceberg-compatible query engine.

Founded: 2024Connections: 4

Last updated May 3, 2026 by ATDb automated enrichment · Connections updated May 4, 2026

At a glance

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About

Leading open-source Apache Iceberg REST catalog; positioned as the vendor-neutral alternative to proprietary catalogs like Databricks Unity Catalog

Apache Polaris is an open-source, REST-based catalog implementation for Apache Iceberg tables, designed to provide a vendor-neutral, interoperable foundation for data lakehouse architectures. Originally developed internally at Snowflake as a proprietary catalog service, Snowflake donated the project to the Apache Software Foundation in August 2024, signaling a broader industry push toward open standards in data governance and catalog management. The project reached v1.0 incubating status in July 2025, marking a significant maturity milestone for enterprise adoption. Polaris implements the Apache Iceberg REST Catalog specification, allowing any Iceberg-compatible query engine — including Apache Spark, Apache Flink, Trino, DuckDB, and others — to connect and manage table metadata through a standardized API. This engine-agnostic approach directly challenges proprietary catalog solutions by enabling organizations to avoid vendor lock-in while maintaining fine-grained access control, multi-tenant namespace management, and catalog federation across cloud environments. In the broader data infrastructure and AdTech ecosystem, Apache Polaris is significant as a foundational layer for organizations building open data lakehouses that power analytics, audience segmentation, and data clean room use cases. Its primary competitive tension is with Databricks Unity Catalog, which offers similar governance capabilities but within a more closed, platform-specific context. As an Apache project, Polaris benefits from community-driven development and vendor-neutral governance, making it attractive to enterprises seeking open, auditable infrastructure for sensitive data workloads.

Business model

Open Source

Target market

Enterprise

What they offer

  • Apache Polaris Catalog

    Open-source REST Iceberg catalog implementing the Apache Iceberg REST Catalog specification, supporting multi-engine interoperability and table metadata management

  • Multi-Tenant Namespace Management

    Hierarchical namespace and catalog federation capabilities enabling multi-tenant data governance across organizations and cloud environments

  • Fine-Grained Access Control

    Role-based access control (RBAC) and privilege management for Iceberg tables, namespaces, and catalog objects

  • Catalog Federation

    Ability to federate and connect multiple Iceberg catalogs across different cloud providers and storage backends

Key features

Apache Iceberg REST Catalog API complianceMulti-engine query interoperability (Spark, Flink, Trino, DuckDB, etc.)Fine-grained role-based access control (RBAC)Multi-tenant namespace and catalog managementCatalog federation across cloud environmentsVendor-neutral open-source governance under Apache Software FoundationSupport for multiple cloud storage backends (S3, GCS, ADLS)OAuth2-based authentication and authorization

Use cases

Open data lakehouse catalog managementMulti-engine data access governance (Spark, Flink, Trino, DuckDB)Audience data governance and segmentation for AdTechData clean room infrastructureCross-cloud data catalog federationReplacing proprietary catalogs to reduce vendor lock-inEnterprise data mesh catalog layerIceberg table lifecycle and metadata management

Customer segments

Enterprise data engineering teamsCloud-native data platform teamsAdTech and MarTech data infrastructure teamsFinancial services data governance teamsOrganizations building open data lakehousesMulti-cloud data architecture teams

Tech & specs

Technology stack

JavaApache IcebergREST / OpenAPIOAuth2 / OpenID ConnectApache HadoopAmazon S3Google Cloud StorageAzure Data Lake StorageApache SparkApache FlinkTrinoDuckDB

Security & compliance

OAuth2 authenticationRole-based access control (RBAC)Fine-grained privilege managementApache Software Foundation security policies

Deployment

CloudOn-premiseHybridSelf-hosted (open source)

API

Yes

Corporate history
  • 2024Founded
Connection details

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