Apache Polaris — with Jean-Baptiste Onofré and Yufei Gu
Apache Polaris is the open source metadata catalog for the data lakehouse — a vendor-neutral implementation of the Iceberg REST Catalog spec. In this episode, Rich Bowen speaks with PMC members Jean-Baptiste Onofré (Dremio) and Yufei Gu (Snowflake) about how two competing companies came together under Apache governance to build a shared standard, the project’s extraordinary release velocity since graduating as a TLP in February 2026, and where the roadmap is headed — including multi-format support, AI use cases, and fine-grained access control.
https://plusone.apache.org/wp-content/uploads/2026/07/polaris-jbo-yufei.mp3 (https://plusone.apache.org/wp-content/uploads/2026/07/polaris-jbo-yufei.mp3)
Learn more: https://polaris.apache.org (https://polaris.apache.org)
Prefer video? That’s on our YouTube channel (https://youtu.be/CmZJif_I0lY).
20 Jul 2026
Apache Geode, with Jinwoo Hwang
Rich Bowen speaks with Jinwoo Hwang about Apache Geode, the distributed in-memory data management platform that delivers low-latency, scalable data access for high-performance applications. In a rare story of open source revival, Jinwoo describes how Geode — originally born as GemFire in 2002 and donated to the ASF in 2015 — declined into inactivity by 2023 and was voted for retirement, only to be brought back to life with a major 2.0 release in December 2025. They discuss the massive modernization effort required (Java 21, Spring Framework 6, Jakarta EE), the personal cost of that work, and what’s next for the project’s security and stability roadmap.
https://plusone.apache.org/wp-content/uploads/2026/07/apache-geode-jinwoo.mp3 (https://plusone.apache.org/wp-content/uploads/2026/07/apache-geode-jinwoo.mp3)
Prefer video? That’s on our YouTube channel (https://youtu.be/wm82gdQL2hQ)
More about Apache Geode at https://geode.apache.org/ (https://geode.apache.org/)
14 Jul 2026
DataFusion Python, with Tim Saucer
Tim Saucer, PMC member and primary maintainer of Apache DataFusion’s Python bindings, joins PlusOne to talk about how he went from frustrated Spark user to open source maintainer — and how the project is using LLM-powered “skills” to keep its Python API in full parity with the upstream Rust library. He walks through the three developer-facing skills they’ve built (expose new APIs, make them Pythonic, audit the user-facing docs) and shares practical advice for other projects looking to adopt a similar approach: treat your skills like test-driven software, constrain the agent to one shot, and use your existing examples as the ground truth.
The conversation also covers what’s next for DataFusion Python, including lambda functions on array columns, distributed compute via DataFusion Comet and Ballista, and how a single-line code change can move a local workflow to a distributed cluster.
https://plusone.apache.org/wp-content/uploads/2026/07/datafusion-tim.mp3 (https://plusone.apache.org/wp-content/uploads/2026/07/datafusion-tim.mp3)
Prefer video? That’s on our YouTube channel (https://youtu.be/Nm6QKF0mkGs).
More about DataFusion at https://datafusion.apache.org/ (https://datafusion.apache.org/)
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