MySQL is an open source relational database management system. Based in Structured Query Language (SQL), MySQL can run on most platforms and is mainly used for web-based applications. It is written in C and C++.
Query Engine for AI Analytics: Build self-reasoning agents across all your live data
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
A Terminal Client for MySQL with AutoCompletion and Syntax Highlighting.
Curso para aprender los fundamentos del lenguaje SQL y bases de datos relacionales desde cero y para principiantes.
SQL 审核查询平台
macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapReduce, AWS, Heroku, JavaScript web development, Android development, common data stores, and dev-based OS X defaults.
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
Async database support for Python. 🗄
Pony Object Relational Mapper
A user friendly TUI for SQL databases. Written in python. Supports SQL server, Mysql, PostreSQL, SQLite, Turso and more.
Created by David Axmark, Allan Larsson and Michael "Monty" Widenius
Released May 23, 1995