2022 Open Source Big Data Heat Report – Project Overview, Methodology, and Findings

In the past decade of rapid open‑source big‑data development, the Open Atom Open Source Foundation, X‑Lab Open Lab, and Alibaba Open Source Committee have jointly initiated the "2022 Open Source Big Data Heat Report" to provide deep insights into the past, present, and future of open‑source big‑data technologies.

The report collects public GitHub and Jira data (project IDs, stars, issues, open PRs, review comments, merged PRs) from January 2015 to September 2022, then follows seven stages: initial data screening, technical classification, expert review, shortlist announcement & correction, heat‑value calculation & correlation analysis, data insight & research topics, and final report review.

Projects are initially filtered by GitHub topic tags such as big‑data, etl, data‑pipeline, data‑analysis, data‑visualization, business‑intelligence, data‑science, and data‑engineering. They are then classified into modern big‑data technology stack categories: data integration, stream processing, data query & analysis, data storage, data development, data scheduling & orchestration, data management/security/middleware, and data visualization.

A public list of 92 shortlisted projects is presented, grouped by the above categories. Examples include:

Data Integration: airbytehq/airbyte, alibaba/DataX, apache/camel, apache/flume, apache/incubator-seatunnel, apache/inlong, apache/sqoop, dbt‑labs/dbt‑core, debezium/debezium, ververica/flink‑cdc‑connectors

Stream Processing: apache/beam, apache/flink, apache/kafka, apache/pulsar, apache/storm, etc.

Data Query & Analysis: apache/hive, apache/spark, ClickHouse/ClickHouse, duckdb/duckdb, elastic/elasticsearch, StarRocks/starrocks, Trino/trino, etc.

Data Storage: apache/hadoop‑hdfs, apache/iceberg, apache/kudu, delta‑io/delta, etc.

Data Management/Security/Middleware: apache/ambari, apache/atlas, apache/ranger, cube‑js/cube.js, datahub‑project/datahub

Data Development: apache/zeppelin, jupyter/notebook, pachyderm/pachyderm

Data Visualization: apache/superset, grafana/grafana, metabase/metabase, etc.

Data Scheduling & Orchestration: apache/airflow, apache/dolphinscheduler, apache/nifi, PrefectHQ/prefect, etc.

The report also invites additional open‑source big‑data projects that meet the criteria (open‑source license, documentation, recent release, relevant topic tags) to be submitted via a QR‑code during the public notice period (Oct 10‑16, 2022).

The full "Open Source Big Data Heat Report 2022" will be officially released at the Cloud Expo in November 2022.

Special thanks go to the joint initiators (Open Atom Open Source Foundation, X‑Lab Open Lab, Alibaba Open Source Committee), strategic partners (Open Source China, InfoQ, Alibaba Cloud Developer Community), and media partners (CSDN, Datafun, SegmentFault).