Topics / #data-warehouse
Data-warehouse projects on GitHub
Analytics warehouses and SQL engines for OLAP workloads.
As of , the most-starred Data-warehouse projects on GitHub are ClickHouse (50.5K stars), data-engineer-handbook (44.5K stars) and posthog (40.3K stars). GitHub.Locker tracks 10 Data-warehouse repositories with 218.3K stars combined. The fastest-growing on October 16 was open-knowledge-format, with +16 stars in a day.
Hot right now
Most stars gained in a day · Oct 16
+16open-knowledge-format
GoogleCloudPlatform/open-knowledge-format · ★ 990OKF (Open Knowledge Format) is a vendor-neutral spec from Google Cloud for representing catalog knowledge as plain markdown files with YAML frontmatter, not tied to any specific agent, framework, or model provider. This repo also ships a reference agent that produces OKF bundles and a visualizer that renders them.
+12ClickHouse
ClickHouse/ClickHouse · ★ 50.5KClickHouse is an open-source column-oriented database management system for generating analytical data reports in real time.
+12posthog
PostHog/posthog · ★ 40.3KPostHog is an open source platform for building 'self-driving products' that bundles product analytics, web analytics, session replay, feature flags, experiments, error tracking, logs, surveys, a data warehouse, and AI observability into one tool.
+9data-engineer-handbook
DataExpert-io/data-engineer-handbook · ★ 44.5KA curated handbook of links and resources for learning data engineering: roadmaps, bootcamp materials, books, communities, company tooling lists, blogs, whitepapers, and a directory of data engineering content creators.
The all-time top
10 projects · by stars
- 50.5K
#1 · ClickHouse/ClickHouseClickHouse
ClickHouse is an open-source column-oriented database management system for generating analytical data reports in real time.
- 44.5K
#2 · DataExpert-io/data-engineer-handbookdata-engineer-handbook
A curated handbook of links and resources for learning data engineering: roadmaps, bootcamp materials, books, communities, company tooling lists, blogs, whitepapers, and a directory of data engineering content creators.
- 40.3K
#3 · PostHog/posthogposthog
PostHog is an open source platform for building 'self-driving products' that bundles product analytics, web analytics, session replay, feature flags, experiments, error tracking, logs, surveys, a data warehouse, and AI observability into one tool.
- 4

cube
21Kcube-js/cube · RustAn open-source semantic layer: define metrics, dimensions, joins and access rules once in code, and it serves them through SQL, REST and GraphQL APIs to BI tools, custom apps and AI agents.
- 5

WrenAI
17.9KCanner/WrenAI · PythonWren AI is an open-source generative BI (GenBI) engine: AI agents turn natural-language questions into governed SQL, charts, and deployable dashboards across 22+ data sources, grounded in a semantic layer they can trust.
- 6

doris
16.1Kapache/doris · JavaApache Doris is an open-source, real-time analytics and search database built on MPP architecture. It serves fast SQL analytics, lakehouse query acceleration, and hybrid search across structured, text, and vector data.
- 7

awesome-bigdata
14.7Koxnr/awesome-bigdataA curated list of frameworks, databases, tools, papers, and resources related to big data, covering everything from distributed processing engines to key-value stores and visualization tools.
- 8

starrocks
12.2KStarRocks/starrocks · JavaStarRocks is an open-source, high-performance query engine for sub-second, ad-hoc analytics on data warehouses and data lakes, built as a Linux Foundation project.
- 9

open-knowledge-format
990GoogleCloudPlatform/open-knowledge-format · HTMLOKF (Open Knowledge Format) is a vendor-neutral spec from Google Cloud for representing catalog knowledge as plain markdown files with YAML frontmatter, not tied to any specific agent, framework, or model provider. This repo also ships a reference agent that produces OKF bundles and a visualizer that renders them.
- 10

full-stack-data-engineering
145schumannx/full-stack-data-engineering · PythonA full reference implementation of a streaming data warehouse on AWS: playback events flow from Kafka into a five-zone S3 Iceberg lake, get modeled with Kimball dimensional design, and are served through Athena SQL and HTML reports, all orchestrated by self-hosted Apache Airflow 3.
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