Iceberg Updates

Version 1.1 was released, which added API stability guarantees, in addition to these highlights:

• Puffin Stats Files
• Branching and Tagging
• Table Scan Metrics
• Changelog Scans
• Spark FunctionCatalog

More details can be found here.

A spec for “materialized views” in Iceberg was proposed.
A new SnowflakeCatalog implementation to directly enable using Snowflake-managed Iceberg tables was proposed.
Commit metrics were added
JMH Benchmarks are now running every Sunday

PyIceberg Updates

Version 0.2.0 was released, with major features that include:

• Read support using PyArrow and DuckDB
• Support for AWS Glue

More information can be found on the revamped project site and can be installed here

Iceberg In the Industry

• Tableau adds Iceberg support to their Hyper engine
• Google adds preliminary support for BigLake to query Iceberg with BigQuery
• Iceberg receives a “Readers’ Choice” in Datanami poll

Keep Up to Date on All Things Iceberg

• Look out for new blog posts added to the Blogs page
• See the community Contribute guide to learn how to start contributing to Iceberg
• Join the Apache Iceberg workspace on Slack using the invite link
• Subscribe to the Apache Iceberg mailing list