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Polaris Alternatives
Similar projects and alternatives to polaris
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AppSignal
AppSignal knows why the f*#k it crashed. Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.
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Redis
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
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airbyte
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Apache Arrow
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
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delta
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs (by delta-io)
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paimon
Apache Paimon is a lake format that enables building a Realtime Lakehouse Architecture with Flink and Spark for both streaming and batch operations.
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incubator-xtable
Apache XTable (incubating) is a cross-table converter for lakehouse table formats that facilitates interoperability across data processing systems and query engines.
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lakehouse-iceberg-2026
Measured write-ups of Apache Iceberg lakehouse behaviour across cloud vendors, with the harness that produced each result.
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s3-tables-catalog
The Amazon S3 Tables catalog is a client library that bridges control plane operations provided by S3 Tables to engines like Apache Spark, Flink and others, when used with the Iceberg Table format
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SaaSHub
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polaris discussion
polaris reviews and mentions
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Apache Data Lakehouse Weekly: September 9 to 17, 2026
Austen closed the loop on September 14 and again on September 16. R2 has no IAM roles or ARNs, so he left those fields empty. He added one new S3 field, now named credentialVendingMechanism, with a server allowlist, SUPPORTED_S3_CREDENTIAL_VENDING_MECHANISMS, that defaults to STS only. Following Dmitri's suggestion, mechanisms are CDI beans looked up by identifier, so downstream builds can add their own without changing the API spec. Stage one is PR #5513, and the R2 bean follows in a second PR. Yufei noted the underlying mismatch: the S3 storage type mixes shared S3 settings with AWS-specific ones, and a future refactor can split them. This is a good template for how to add a backend to a catalog without special-casing it.
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Amazon S3 Tables Alternatives for Production Iceberg
Apache Polaris (graduated to ASF Top-Level Project in 2026) implements the Iceberg REST Catalog spec with RBAC, credential vending, multi-engine support, and external catalog federation. It can be self-hosted on Kubernetes with PostgreSQL, or used through managed offerings like Snowflake Open Catalog or Dremio Catalog.
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Four Iceberg Tools, Three Agent Frameworks: What Ports, and What Doesn't
It cannot test storage wiring, because Polaris keeps its table as local files. See the Polaris site, documentation and source.
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Apache Polaris 1.7.0 and the Quiet Work of Making a Catalog Trustworthy
Polaris 1.7.0 implements the server half of that for two operations. Huaxing Gao's work landed entity-property idempotency for createTable in #4912 and opt-in idempotency for updateTable in #5037.
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Why Dremio's Value Is Unique to Apache Iceberg Lakehouses and Agentic Analytics
Apache Polaris project
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How Apache Polaris Vends Credentials: Securing Data Access Without Sharing Keys
Docs: https://polaris.apache.org/
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A 2026 Introduction to Apache Iceberg
Several projects implement the REST Catalog spec: Apache Polaris, Project Nessie, Unity Catalog, AWS Glue (via adapter), and Snowflake Open Catalog. This means you can pick a catalog implementation without locking in your query engines. Every engine points at the same REST endpoint.
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DuckDB + Iceberg: The ultimate synergy
Apache Iceberg and DuckDB have established themselves as key players in data architecture landscape. With DuckDB 1.4's native support for Iceberg writes, combined with Apache Polaris and MinIO, this promising stack offers efficiency, scalability, and flexibility.
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Stream Processing Systems in 2025: RisingWave, Flink, Spark Streaming, and What's Ahead
When it comes to stream processing systems, Iceberg support varies across vendors. Databricks, which oversees Spark Streaming, focuses on Delta Lake. Apache Flink, heavily influenced by Alibaba’s contributions, promotes Paimon, an alternative to Iceberg. RisingWave, on the other hand, fully embraces Iceberg. Rather than focusing solely on one table format, RisingWave aims to support various catalog services, including AWS Glue Catalog, Polaris, and Unity Catalog.
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Amazon S3 Tables
This looks inspired by the work Snowflake did with their now FOSS Polaris[1]. Great to see more innovation in the space.
I had a quick look through the documentation[2], and it looks like it's not API compatible with the Apache Iceberg REST Catalog spec, which is somewhat dissapointing.
[1] https://github.com/apache/polaris
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A note from our sponsor - AppSignal
www.appsignal.com | 15 Oct 2026
Stats
apache/polaris is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of polaris is Java.