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
Version 0.2.0 was released, with major features that include:
- Read support using PyArrow and DuckDB
- Support for AWS Glue
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