Apache Iggy Graduates to Top-Level Project, Bringing Rust-Based Streaming to ASF

Apache Iggy, a high-performance message streaming platform built in Rust, officially graduated to an Apache Software Foundation (ASF) Top-Level Project (TLP) on August 19, 2026. The milestone marks the project's transition from a personal experiment to a community-governed infrastructure tool.

The graduation followed approximately 18 months in the Apache Incubator and was finalized after a unanimous positive vote. As part of the transition, Kranti Parisa has been appointed Chair of the Apache Iggy Project Management Committee (PMC). The project enters its TLP phase with significant community momentum, boasting over 4,500 GitHub stars, 120 contributors, and approximately 3,000 pull requests. To date, the platform has seen more than 500,000 cumulative downloads and maintains a community of over 700 Discord members.

From Side Project to ASF Standard

Iggy began in March 2023 as a personal experiment by Piotr Gankiewicz, who sought to explore the internals of messaging systems and the capabilities of the Rust programming language. To ensure the project's long-term viability and remove dependence on any single entity, ownership was transferred from LaserData Inc. to the ASF in early 2025. This move was designed to establish a sustainable, open-source governance model that prevents corporate or individual bottlenecks.

Engineering for Low Latency

Technically, Iggy is designed to challenge established streaming tools by prioritizing operational simplicity and extreme performance. The architecture leverages a thread-per-core design and utilizes io_uring for high-efficiency I/O operations. For consensus, the project employs Viewstamped Replication Revisited (VSR), ensuring data consistency across the cluster. By utilizing Rust's memory safety and performance characteristics, Iggy targets the specific needs of real-time data infrastructure.

Industry Implications

The graduation signifies that Iggy has evolved into a sustainable alternative for organizations requiring low-latency streaming. As AI and "systems of intelligence" increase the demand for rapid data movement, Iggy's focus on modern hardware optimization makes it a critical tool for high-throughput environments. The shift to a TLP ensures that the project's development is driven by a diverse set of contributors rather than a single founder.

The Path Forward

While the graduation is a major milestone, project leadership views it as a starting point rather than a conclusion. Piotr Gankiewicz and Kranti Parisa noted that graduation is "the beginning of Iggy’s next chapter." Future development will likely focus on scaling the contributor base and expanding the platform's footprint in the real-time data market.