DataEase — Open-Source BI and Data Visualization Platform

Introduction

DataEase is a self-hosted business intelligence tool that lets teams build interactive dashboards without writing code. It connects to a wide range of databases and provides a drag-and-drop chart builder that produces shareable visualizations. The project aims to be an open-source alternative to commercial BI platforms like Tableau.

What DataEase Does

• Connects to MySQL, PostgreSQL, ClickHouse, Oracle, SQL Server, and other data sources
• Provides a drag-and-drop dashboard builder with dozens of chart types
• Supports calculated fields, filters, and drill-down for deeper data exploration
• Offers role-based access control and dashboard sharing via public links
• Includes scheduled report generation and export to PDF or image formats

Architecture Overview

DataEase is a Java-based application using Spring Boot on the backend and Vue.js on the frontend. It stores metadata in a built-in MySQL instance and connects to external databases for query execution. Charts are rendered using Apache ECharts. The system runs as a set of Docker containers managed by Docker Compose, with an embedded Nginx reverse proxy handling routing.

Self-Hosting & Configuration

• Minimum requirements: 2 CPU cores, 4 GB RAM, 20 GB disk
• Install via the one-line script or Docker Compose
• Configure database connections through the web UI after login
• Set SMTP for email-based report delivery in the system settings
• Back up the built-in MySQL data directory for disaster recovery

Key Features

• No-code dashboard builder with 20+ chart types including maps and pivot tables
• Multi-tenant architecture with workspace-level data isolation
• Template marketplace for reusable dashboard layouts
• Embedded analytics mode for integrating dashboards into other web applications
• Active community with frequent releases and plugin support

Comparison with Similar Tools

• Apache Superset — more SQL-oriented; DataEase emphasizes drag-and-drop simplicity
• Metabase — simpler setup but fewer chart customization options
• Grafana — focused on time-series monitoring; DataEase targets general BI use cases
• Redash — query-first workflow; DataEase offers a visual builder for non-technical users

FAQ

Q: Does DataEase support English? A: Yes. The interface supports both English and Chinese, and can be switched in the system settings.

Q: Can I connect to cloud-hosted databases? A: Yes. Any database accessible over the network can be added as a data source, including RDS, Cloud SQL, and similar managed services.

Q: Is there a SaaS version? A: The team offers a managed cloud edition, but the open-source self-hosted version has full functionality.

Q: How does DataEase handle large datasets? A: It pushes queries down to the connected database engine, so performance scales with the data source. For very large datasets, connecting to ClickHouse or a similar analytical database is recommended.

Sources

• https://github.com/dataease/dataease
• https://dataease.io