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DataEase

Open-source BI tool for data visualization

freemiumopen sourceupdated Jun 2, 2026
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DataEase is an open-source business intelligence tool that enables anyone to perform data analysis and build visualizations through a drag-and-drop interface without coding. It connects to MySQL, PostgreSQL, Elasticsearch, ClickHouse, and other data sources, providing interactive dashboards that can be shared via links or embedded in applications. DataEase offers chart templates, calculated fields, and role-based access control for team collaboration.

DataEase is a popular Chinese-origin open-source BI platform that democratizes data analysis by providing a visual drag-and-drop interface for building dashboards and reports. Positioned as an accessible alternative to Tableau and Power BI, DataEase allows non-technical users to connect data sources, create charts, and share insights without writing any SQL or code, while still offering advanced features for data engineers who need deeper control.

The platform supports direct connections to MySQL, PostgreSQL, SQL Server, Oracle, ClickHouse, Elasticsearch, MongoDB, and API-based data sources. Users build interactive visualizations using a rich library of chart types including bar, line, pie, map, funnel, and pivot table components. DataEase provides calculated fields, drill-down capabilities, parameterized filters, and scheduled data refresh to keep dashboards current with minimal manual intervention.

DataEase has earned over 23,000 GitHub stars and strong adoption particularly across Chinese enterprise environments, with growing international usage. The Community edition covers core BI functionality under the GPLv3 license, while the Enterprise edition adds features like SSO integration, advanced permissions, watermarking, and dedicated technical support. The project maintains active development with regular releases and a responsive community forum.

Pricing

Free Community edition; Enterprise with premium support

Platforms

Self-hosted: Docker, Linux; Cloud edition available

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