The Auron project, a native vectorized execution engine donated by Kuaishou and now incubated by the Apache Software Foundation, leverages Rust and SIMD to cut resource overhead, achieve over‑two‑fold speedups on TPC‑DS benchmarks, and integrates seamlessly with Spark and other big‑data ecosystems.
The Auron project, originally the Blaze engine from Kuaishou, has entered the Apache Software Foundation incubator, offering a Rust‑based native vectorized execution engine that integrates with Spark, delivers over two‑fold performance gains on TPC‑DS benchmarks, and is supported by a growing open‑source community.
The Fluss project, an open‑source next‑generation stream storage engine donated by Alibaba, has entered the Apache Software Foundation incubator, offering columnar streaming, real‑time updates, lake‑flow integration, impressive performance metrics, and a growing global developer community.
HoraeDB, the open‑source time‑series database formerly known as CeresDB, has been accepted into the Apache Incubator, and the announcement details its design objectives, cloud‑native architecture, distributed solution, key features such as high performance, low cost, compute‑storage separation, and how developers can contribute to the project.
HoraeDB, the next‑generation cloud‑native time‑series database originally from Ant Group, has been accepted into the Apache Incubator, and this article outlines its design motivations, distributed architecture, key technical components, and core capabilities such as high performance, low cost, SQL‑based analytics, storage‑compute separation, high availability, and open‑source ecosystem compatibility.
Linkis, an open‑source computing middleware from WeBank, has entered the Apache Software Foundation Incubator, offering REST/WebSocket/JDBC interfaces to a wide range of engines such as Spark, Hive, Presto and Flink, and providing powerful governance, orchestration, and resource‑management capabilities for big‑data platforms.
This article recounts the author’s year‑long experience transforming Sharding‑JDBC into the ShardingSphere ecosystem, detailing technical challenges, community building, Apache Incubator admission, and the project’s evolution into a financial‑grade distributed database solution.
This article chronicles Dubbo’s journey from its 2018 Apache incubation vote through its key features, release history, and upcoming 2.7 version that aims to graduate the high‑performance Java RPC framework to an Apache top‑level project.
This article explains Dubbo’s core RPC principles, architecture layers, design philosophy, open‑source growth, adoption by major enterprises, and upcoming plans for modularization, metadata, async support, and its progression through the Apache Incubator toward becoming a top‑level project.
Huawei’s CarbonData, now an Apache incubator project, is a lightweight, low‑latency columnar storage format that separates storage and compute, offering multi‑dimensional analytics, high compression, and seamless integration with Spark and Hadoop, while addressing the limitations of traditional NoSQL, search engines, and SQL‑on‑Hadoop solutions.
