Russell Spitzer

Apache Iceberg has conquered batch analytics. With the V3 table spec, established Iceberg developers and new contributors across the industry came together to create vendor-neutral definitions for semi-structured and geographic datatypes, efficient delete representations, and more, helping to optimize the format for diverse use cases.

Join core contributors for an open conversation on what’s next for Apache Iceberg and the broader ecosystem. We’ll unpack the context behind current proposals, explain their impact, and highlight concrete ways the community can work together to accelerate progress.

Let’s be blunt: For years, Snowflake was less than friendly towards the open source community. We built a walled garden, and we defended those walls aggressively.

Apache Iceberg is rapidly becoming the Open Source Table standard, but popularity doesn't mean everyone is using it efficiently. Like all technologies, Apache Iceberg has some strong features, ACID Transactions, Metric Pushdown, and Hidden Partitioning, but it also has antipatterns that will lead to a heap of trouble downstream.

Apache Iceberg™ made great advancements going from Table Format V1 to Table Format V2, introducing features like position deletes, advanced metrics, and cleaner metadata abstractions.

Apache Iceberg™ made great advancements going from Table Format V1 to Table Format V2, introducing features like position deletes, advanced metrics, and cleaner metadata abstractions. But with Table Format V3 on the horizon, Iceberg users have even more to look forward to.