Beekeeper Studio como alternativa Linux a Microsoft Azure Data Studio
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Nuestra opinión
Beekeeper Studio is a solid Linux alternative for developers who mainly need a clean SQL editor, connection manager and basic data‑manipulation features. It covers MySQL, PostgreSQL, SQLite and SQL Server well, so it works for most day‑to‑day querying and simple schema work. Power users who rely on Azure‑specific extensions, integrated notebooks, advanced debugging, or deep DevOps automation will find Azure Data Studio more capable, but for typical query editing and lightweight admin tasks Beekeeper is a good fit.
- Licencia
- GPL-3.0
- Precio
- Gratis
- Última versión
- 5.8.1 (2 de junio de 2026)
- Valoración
- —

Lo que funciona igual
- Both run natively on Linux and other OSes
- Support for SQL Server, PostgreSQL and MySQL
- Syntax highlighting, auto‑completion and tabbed query editors
- Ability to export query results to common formats (CSV, JSON, etc.)
Lo que cambia
- Azure Data Studio includes built‑in notebooks, extensions marketplace and integrated source‑control, which Beekeeper lacks
- Beekeeper focuses on a simple UI and does not provide advanced profiling, performance dashboards or Azure‑specific services integration
- Automation features such as task scheduling, PowerShell/CLI integration are missing in Beekeeper
- Azure Data Studio offers richer visual query plan and charting tools; Beekeeper only shows tabular data
Abrir tus archivos de Microsoft Azure Data Studio
Beekeeper Studio cannot directly open Azure Data Studio project files or notebook (.ipynb) exports. You can copy raw SQL scripts between the two, and exported CSV/JSON data can be re‑imported, but any Azure‑specific configuration or extension settings will need to be recreated manually.
Pasar de Microsoft Azure Data Studio a Beekeeper Studio, paso a paso
- Install Beekeeper Studio from Flathub or your distro's repository.
- Create new connections using the same host, port, credentials and SSL/SSH settings you used in Azure Data Studio.
- Import saved SQL scripts by opening the .sql files in Beekeeper's editor.
- Re‑create any scheduled tasks or automation using external cron jobs or scripts, as Beekeeper has no built‑in scheduler.
- Test queries and verify results; adjust any Azure‑specific features (e.g., notebooks) to a separate workflow.
Funciones clave de Beekeeper Studio
- Soporta MySQL, Postgres, SQLite, SQL Server y otros
- Cifrado SSL y túneles SSH
- Interfaz con pestañas separadas para tablas, DDL y consultas
- Autocompletado y resaltado de sintaxis
- Guardar y organizar consultas
- Editar datos de tablas con confirmación previa
- Crear tablas mediante interfaz gráfica
- Exportar a CSV, JSON, JSONL o SQL
Cómo instalar Beekeeper Studio en Linux
flatpak install flathub io.beekeeperstudio.StudioPreguntas frecuentes
Can Beekeeper Studio connect to Azure SQL Managed Instance?
Yes, as long as you provide the correct server name, port and authentication method; SSL/TLS encryption is supported.
Does Beekeeper support extensions like Azure Data Studio?
No, Beekeeper does not have an extensions marketplace; its feature set is fixed.
Is there a way to migrate Azure Data Studio notebooks?
Not directly. Export the notebook cells as plain SQL scripts and open them in Beekeeper, or keep using Azure Data Studio for notebook work.