Dremio Strengthens Open Data Standards With Iceberg V3 And Polaris

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Iceberg V3, Polaris, ASF- Dremio’s Open Source Influence Grows
Iceberg V3, Polaris, ASF- Dremio’s Open Source Influence Grows

Dremio has turned an Iceberg V3 product milestone into a bigger open source power move, pairing GA support with deeper Apache Polaris momentum and JB Onofre’s election to the Apache Software Foundation board to strengthen standards-led lakehouse interoperability.

Dremio has expanded its open-source leadership across the Apache Iceberg ecosystem with the general availability of Iceberg V3 support in Dremio Cloud, stronger stewardship of Apache Polaris, and a key governance win through the election of engineer JB Onofre to the Apache Software Foundation (ASF) board.

The announcement positions Dremio beyond a product update and into a broader standards and governance story, reinforcing its role as a co-creator of Apache Arrow, a major contributor to Apache Iceberg, and a co-creator of Apache Polaris. The ASF board appointment is particularly significant because Onofre led Polaris through incubation, strengthening Dremio’s influence over future Apache governance and open data standards.

At the product level, Dremio now offers full read and write support for Apache Iceberg V3, including VARIANT support for semi-structured JSON data, deletion vectors for faster CDC and streaming workloads, row-level lineage, and improved schema evolution. These capabilities are designed for AI, analytics, regulated workloads, and high-concurrency environments.

“The Iceberg lakehouse has become the default architecture for AI and analytics,” said Rahim Bhojani, CTO of Dremio. “Most platforms added Iceberg as a feature, but Dremio was built on it from the ground up. Capabilities like Autonomous Reflections, Iceberg Clustering, and now V3 compound on each other, delivering an Iceberg platform that’s both the fastest and the easiest to manage.”

The open-source significance extends further through Apache Polaris-powered Open Catalog, enabling shared Iceberg table access across Spark, Flink, Trino, DuckDB, and REST-compatible engines, while enforcing governance controls without proprietary lock-in—sharpening the industry shift toward open lakehouse standards over closed warehouse architectures.

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