2022 Open Source Big Data Heat Report: Trends, Moore’s Law, and Top 30 Projects

On November 5, 2022, at the Yunqi Conference Integrated Big Data Intelligence Summit, the "2022 Open Source Big Data Heat Report" was launched by the OpenAtom Open‑Source Foundation, X‑lab Open Lab, and Alibaba Open‑Source Committee.

Deputy Secretary‑General Liu Jingjuan provided a deep interpretation, explaining that the report examined public data from the 102 most active open‑source big‑data projects and uncovered a “Moore’s law” for open‑source big data: every 40 months the project heat value doubles, indicating a full technology iteration cycle.

The report’s quantitative analysis of the “post‑Hadoop era” collected data from 2015 onward, defined a heat‑value model, and used metrics to depict project activity and developer popularity.

Heat‑map insights are presented from three perspectives—overall technology panorama, technology‑stack classification, and project dimension—linking key events with heat performance, supplemented by expert interviews to derive general rules for healthy project development and methods to boost influence.

The study identifies a “Moore’s law” for open‑source big data: heat values double every 40 months, with the cycle accelerating. Over the past eight years, five major heat jumps occurred, making diversification, integration, and cloud‑native architectures the most prominent trends.

Three major heat trends:

Diversification driven by varied user demands: data lake (34% CAGR) leads, followed by interactive analysis and DataOps, while traditional Hadoop products show only ~1% CAGR.

Integration began in 2015, with “stream‑batch unified” peaking in 2019 and storage integration (Delta Lake, Iceberg, Hudi) emerging from 2019 onward.

Cloud‑native reconstruction reshapes the stack, with projects such as data integration, data storage, and data development & management rapidly gaining heat, now accounting for over 80% of total heat.

The report ranks the top 30 hottest projects among the 102 candidates. Kibana leads with a heat value of 989.40, followed by ClickHouse (data query & analysis), Airflow (data scheduling), Flink (stream processing), and Airbyte (data integration). Chinese projects like Pulsar, Doris, StarRocks, DolphinScheduler, and SeaTunnel also show strong heat trends.

*Thanks to Open Source China, InfoQ, Alibaba Cloud Developer Community, 32 experts and contributors, and community partners such as CSDN, DataFun, SegmentFault, and Open Source Society for their strategic support and contributions.