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dataease/dataease

📈 Trending★ 23,933JavaAudience · pm founderComplexity · 3/5ActiveLicenseSetup · hard

TLDR

Self-hosted business intelligence tool for building interactive data dashboards without code. Connect databases, create charts by dragging, and share insights with your team.

Mindmap

mindmap
  root((DataEase))
    What it does
      Drag-and-drop dashboards
      Connect data sources
      Interactive visualizations
    Data sources
      MySQL, PostgreSQL
      ClickHouse, Doris
      Excel, CSV files
      API data
    Key features
      AI-assisted queries
      Embed dashboards
      Secure sharing
      Monthly updates
    Tech stack
      Java, Spring Boot
      Vue.js frontend
      AntV charts
    Use cases
      Internal analytics
      Business reporting
      Team dashboards

Things people build with this

USE CASE 1

Build internal dashboards to track sales, revenue, and KPIs without paying for Tableau or Looker.

USE CASE 2

Connect your company database and create charts showing customer trends, inventory levels, or financial metrics.

USE CASE 3

Embed live dashboards in your web app or share them securely with team members for collaborative decision-making.

USE CASE 4

Ask questions about your data in plain language using AI, then visualize the results without writing SQL.

Tech stack

JavaSpring BootVue.jsAntVMySQLPostgreSQLClickHouse

Getting it running

Difficulty · hard Time to first run · 1day+

Requires Java/Spring Boot backend, MySQL/PostgreSQL/ClickHouse database setup, and Vue.js frontend build; multiple services must be running together.

Use it freely, but any project you distribute that includes this code must also be GPL-licensed and open source.

In plain English

DataEase is an open-source business intelligence (BI) tool, a self-hosted alternative to paid tools like Tableau for creating data dashboards and visualizations. BI tools help you turn raw data from databases and spreadsheets into charts, graphs, and interactive dashboards that make business trends visible at a glance. The main appeal of DataEase is its drag-and-drop interface: you connect a data source, then build charts and dashboards by clicking and dragging, without needing to write code. It supports a wide range of data sources including common relational databases like MySQL, PostgreSQL, SQL Server, and Oracle; analytical databases like ClickHouse and Apache Doris; data files like Excel and CSV; and API-based data. It also supports AI-assisted querying, letting you ask questions about your data in plain language. Dashboards can be embedded in other applications or shared with colleagues securely. The tool is updated monthly and can be installed on a Linux server via a single shell command. You would use DataEase if your team needs an internal data dashboard solution that you can host yourself, without paying for enterprise BI software. The backend is built with Java and Spring Boot; the frontend uses Vue.js; and charts are rendered using AntV.

Copy-paste prompts

Prompt 1
How do I install DataEase on a Linux server and connect it to my PostgreSQL database?
Prompt 2
Show me how to create a dashboard in DataEase that tracks monthly sales by region using drag-and-drop.
Prompt 3
How can I embed a DataEase dashboard into my existing web application?
Prompt 4
What data sources can DataEase connect to, and how do I set up a connection to ClickHouse?
Prompt 5
How do I use the AI-assisted query feature to ask questions about my data in DataEase?
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.