Apache Iceberg™ Rust

Rust implementation of Apache Iceberg™.

Components

The Apache Iceberg Rust project is composed of the following components:

Name	Release	Docs
iceberg
iceberg-catalog-loader
iceberg-catalog-glue
iceberg-catalog-hms
iceberg-catalog-rest
iceberg-catalog-s3tables
iceberg-catalog-sql
iceberg-cache-moka
iceberg-datafusion
iceberg-storage-opendal

Iceberg Rust Implementation Status

The features that Iceberg Rust currently supports can be found here.

Supported Rust Version

Iceberg Rust is built and tested with stable rust, and will keep a rolling MSRV (minimum supported rust version). At least three months from latest rust release is supported. MSRV is updated when we release iceberg-rust.

Check the current MSRV on crates.io.

Contribute

Apache Iceberg is an active open-source project, governed under the Apache Software Foundation (ASF). Apache Iceberg Rust is always open to people who want to use or contribute to it. Here are some ways to get involved.

• Start with Contributing Guide.
• Submit Issues for bug report or feature requests.
• Discuss at dev mailing list (subscribe / unsubscribe / archives)
• Talk to the community directly at Slack #rust channel.

The Apache Iceberg community is built on the principles described in the Apache Way and all who engage with the community are expected to be respectful, open, come with the best interests of the community in mind, and abide by the Apache Foundation Code of Conduct.

Users

• Databend: An open-source cloud data warehouse that serves as a cost-effective alternative to Snowflake.
• Lakekeeper: An Apache-licensed Iceberg REST Catalog with data access controls.
• Moonlink: A Rust library that enables sub-second mirroring (CDC) of Postgres tables into Iceberg.
• RisingWave: A Postgres-compatible SQL database designed for real-time event streaming data processing, analysis, and management.
• Wrappers: Postgres Foreign Data Wrapper development framework in Rust.
• ETL: Stream your Postgres data anywhere in real-time.
• Apache DataFusion Comet: High-performance accelerator for Apache Spark, built on top of the powerful Apache DataFusion query engine.
• Spice.ai: An open-source compute and AI runtime for data-grounded agents.

License

Licensed under the Apache License, Version 2.0