-d9d9d9){kind=icon}
-d9d9d9){kind=icon}
-d9d9d9){kind=icon}
What is this?
DataEase is an open-source BI (business intelligence) tool for quickly analyzing data and spotting business trends: you connect data sources, build charts by drag-and-drop and share the results. It is positioned as an open alternative to Tableau.
DataEase is an open-source BI (business intelligence) tool for quickly analyzing data and spotting business trends: you connect data sources, build charts by drag-and-drop and share the results. It is positioned as an open alternative to Tableau.Is this a desktop program or something I host on a server?It is a self-hosted web application: a Spring Boot backend with its own MySQL database, running on Docker, with a browser UI built on Vue.js and Element that renders charts via AntV. You deploy it once and everyone uses it from the browser.
It is a self-hosted web application: a Spring Boot backend with its own MySQL database, running on Docker, with a browser UI built on Vue.js and Element that renders charts via AntV. You deploy it once and everyone uses it from the browser.How do I get it running?For production the README recommends deploying with the offline installer package; otherwise follow the quick start in the online docs. The whole stack is Docker-based, so it is a server deployment rather than a local install.
For production the README recommends deploying with the offline installer package; otherwise follow the quick start in the online docs. The whole stack is Docker-based, so it is a server deployment rather than a local install.Which data sources can it connect to?A wide range: OLTP databases (MySQL, Oracle, SQL Server, PostgreSQL, MariaDB, Db2, TiDB, MongoDB-BI), OLAP engines (ClickHouse, Apache Doris, Apache Impala, StarRocks), Amazon RedShift warehouses, local files (Excel, CSV) and API data sources.
A wide range: OLTP databases (MySQL, Oracle, SQL Server, PostgreSQL, MariaDB, Db2, TiDB, MongoDB-BI), OLAP engines (ClickHouse, Apache Doris, Apache Impala, StarRocks), Amazon RedShift warehouses, local files (Excel, CSV) and API data sources.I do not read Chinese — will I be lost with docs and support?Be prepared for a Chinese-first ecosystem: support goes through the online docs, a community forum and WeChat groups, and there is even a printed book in Chinese. English resources are thinner than the Chinese ones.
Be prepared for a Chinese-first ecosystem: support goes through the online docs, a community forum and WeChat groups, and there is even a printed book in Chinese. English resources are thinner than the Chinese ones.Do my colleagues need to write SQL to use it, or can non-technical folks build dashboards themselves?It is built to be usable by everyone: analysis is done with mouse clicks and drag-and-drop instead of code, so business users, not just engineers, are the primary audience.
It is built to be usable by everyone: analysis is done with mouse clicks and drag-and-drop instead of code, so business users, not just engineers, are the primary audience.Is it really free, and what does the license mean if I embed it in my product?It is free and open source under GPLv3, copyright FIT2CLOUD. The strong copyleft means that if you distribute modified versions or ship it bundled with your own product, those parts must also be released under GPLv3.
It is free and open source under GPLv3, copyright FIT2CLOUD. The strong copyleft means that if you distribute modified versions or ship it bundled with your own product, those parts must also be released under GPLv3.What is SQLBot and what does it add?SQLBot is an AI assistant that DataEase integrates seamlessly for intelligent data Q&A: instead of building every chart by hand or writing SQL, you ask questions about your data in natural language and get answers from the connected sources.
SQLBot is an AI assistant that DataEase integrates seamlessly for intelligent data Q&A: instead of building every chart by hand or writing SQL, you ask questions about your data in natural language and get answers from the connected sources.Can I embed its dashboards into my own application?Yes. The README lists multi-platform installation and diverse embedding support among DataEase's advantages, and it offers several sharing methods designed to keep the shared data secure.
Yes. The README lists multi-platform installation and diverse embedding support among DataEase's advantages, and it offers several sharing methods designed to keep the shared data secure.Which topics is it in?echarts, business-intelligence, etl, open-source-alternative, drag-and-drop, spring-boot, data-analysis, charts, analytics, visualization, mysql, data-visualization
echarts, business-intelligence, etl, open-source-alternative, drag-and-drop, spring-boot, data-analysis, charts, analytics, visualization, mysql, data-visualization