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description: SQL clients make it safer and easier to manage databases. In this post, we are taking a look at open source SQL client options for you to try in 2025.
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description: A comprehensive guide to the top free and open-source SQL clients in 2025, including DBeaver, Beekeeper Studio, DbGate, HeidiSQL, phpMyAdmin, pgAdmin, and Bytebase. Compare features, database support, and capabilities to find the best SQL client for your needs.
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@@ -14,24 +14,24 @@ This post is maintained by Bytebase, an open-source database DevSecOps tool. We
| 2025/03/03 | Remove Sqlectron as it's no longer maintained. |
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| 2025/08/27 | Update GitHub star growth and wording. |
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| 2025/12/05 | Remove SQL Chat as it's covered by the text-to-sql topic. |
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In the past, the only way to access or modify a database was through the command line, which was not only not intuitive, but also prone to errors that could lead to major problems. So people began to develop tools with a graphical user interface (GUI), and that became what we now know as SQL clients, which are basically front-end applications for database services. In this post, we are taking a look at some open source SQL client options for you to try.
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This is a series articles about SQL Clients / SQL Editors:
[SQL Chat](https://github.com/sqlchat/sqlchat) is a young player (released in March, 2023), propelling SQL clients from the traditional GUI-based to the Chat-based stage: it's powered by ChatGPT to write and polish SQL for you. Databases supported now include MySQL, PostgreSQL and MSSQL. You can access it directly via [sqlchat.ai](https://www.sqlchat.ai/) or deploy it via Docker.
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SQL Chat launched on [Product Hunt](https://www.producthunt.com/posts/sql-chat-2) in April 2023, and it gained so much attention that there's now a limit to the free service.
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When database systems debuted about 40 years ago, the only way to access or modify a database was through the command line, which was not only unintuitive but also prone to errors that could lead to major problems. As a result, people began developing tools with graphical user interfaces (GUIs), which became what we now know as SQL clients—essentially front-end applications for database services. In this post, we are taking a look at some open-source SQL client options for you to try.
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Aforementioned tools are all client-side SQL editors for individual use. What if you want a SQL client for team use? The client-side SQL editors would not be sufficient because for team use, it would require:
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-**Centralized access control**. Ideally you don't want to give away production database credentials to developers.
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-**Centralized access control**. Ideally you don't want to give away production database credentials to developers by default and only allow them to requst on demand.
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-**Audit logging**. You want to capture all operations performed on the database.
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-**Request and review workflow**. You want users to go through a ticketing process to request the access rights.
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-**Data masking**. You may want to prevent users seeing sensitive data.
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-**Policy as Code (GitOps)**. Permission control and masking policies can be [codified](https://github.com/bytebase/example-database-security) and integrated with your existing DevOps pipeline.
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-**Policy as Code (GitOps)**. Permission control and masking policies can be codified with Terraform and integrated with your existing DevOps pipeline.
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All above requirements call for a server-side solution. And that's what [Bytebase SQL Editor](/sql-editor) provides.
If you work with databases, SQL AI tools can significantly improve your productivity and efficiency. They help generate SQL commands automatically from natural language input and optimize query performance as functional and starter-friendly tool.
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Here we gathered some of the most popular SQL AI tools (Text2SQL) on the market in 2024.
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