Beekeeper Studio

The official version of Beekeeper Studio is a professional and powerful SQL editor and database manager. Beekeeper Studio software supports querying and managing relational databases. It also supports MySQL, Postgres, SQLite and SQL Server. The latest version of Beekeeper Studio software can perform table data processing Sort and filter to help users find what they need.

Beekeeper Studio function introduction

Beekeeper Studio autocomplete SQL query editor with syntax highlighting

Tabbed interface allows you to multitask

​​ Sort and filter table data to find what you need.

Reasonable shortcut keys

​​Save your query for later use

Query the running history so that you can find the query results from 3 days ago.

​​Default dark theme

​​​​​One of the reasons we’ve become frustrated with other open source SQL editors and database managers is that they take a “kitchen sink” approach to functionality, adding so many features that the UI becomes cluttered and difficult to navigate. We hope to have a good-looking, open source SQL working platform that is not only powerful but also easy to use. We couldn't find one, so we created it!

​​SQL editing demonstration

Beekeeper Studio supports connecting to the following databases.

SQLite

MySQL

Maria database

Postgres

SQL Server

Amazon Red Class

Beekeeper Studio installation steps

​ 1. Download the installation package of Beekeeper Studio official version from Huajun Software Park

​​ 2. After downloading, unzip the compressed package into a folder named after this software

3. Open the folder and double-click the "exe" program

4.Beekeeper Studio is being installed, please wait patiently.

Beekeeper Studio update log

The biggest new feature in this version is the table tab.

The Table tab allows you to open a table (or view) in a new tab. From there you can search and filter the data as needed.

This is really useful!

                  Other fixes and changes.

PSQL now turns on public mode by default.

MariaDB is an explicit connection option

​ ​ Redshift is a clear connection option

There is no longer an error with capital letters in column headers.

​ ​ Some minor stability and performance improvements