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Apache Iceberg C++ 0.3.0 Released: Singdata Contributes 43% of Code as Key Open-Source Driving Engine
The Apache Iceberg community has officially released Apache Iceberg C++ version 0.3.0, featuring over 140 merged PRs from 23 contributors worldwide.
Key Highlights:
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Core Driving Force: Singdata acted as the primary driver of the release, contributing 43% of the total codebase.
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Global Industry Adoption: Attracted contributors from leading global data and tech giants, including Snowflake, Databricks, Meta, and Alibaba.
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Native C++ Performance: Provides a complete C++ library for direct Iceberg table operations without requiring JVM or JNI cross-language overhead.
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Expanded Ecosystem: Empowers query engines, data processing frameworks, and client apps with high-performance, native Iceberg integration.
Apache Iceberg C++ 0.3.0 Released: Singdata Contributes 43% of Code as Key Open-Source Driving Engine
The Apache Iceberg community has officially announced the release of Apache Iceberg C++ version 0.3.0. This milestone release includes over 140 merged pull requests (PRs) contributed by 23 distinct developers across the global open-source ecosystem.
Singdata Drives 43% of Codebase Contributions As a key driving force behind the open-source project, Singdata continues to play a core engine role in advancing Apache Iceberg C++. In this latest release, Singdata authored and contributed 43% of the total codebase.
Furthermore, version 0.3.0 saw increased participation from engineers at leading global technology and data giants, including Snowflake, Databricks, Meta, and Alibaba. This broad involvement highlights the growing global attention and strategic investment in the Iceberg C++ project, driving rapid ecosystem growth.
About Apache Iceberg C++ Apache Iceberg C++ is a dedicated C++ library implementing the Apache Iceberg specification. Its core objective is to deliver a complete, high-performance C++ interface for reading, writing, and managing Iceberg tables directly — eliminating dependencies on the Java Virtual Machine (JVM) or complex cross-language bindings such as JNI.
Designed for modern high-performance data systems, the library provides native Iceberg interaction capabilities for query engines, data processing frameworks, and client applications built within the C++ data ecosystem.
