DataGripLinux vs Microsoft Azure Data StudioWindows

DataGrip als Linux-Alternative zu Microsoft Azure Data Studio

Aktualisiert am 30. Oktober 2026

Unser Fazit

DataGrip is a strong, arguably superior, replacement for Microsoft Azure Data Studio for pure SQL development. It offers deeper schema-aware editing, refactoring, and multi-engine support via JDBC. However, it lacks the specific Azure cloud management features and extension ecosystem of Azure Data Studio. If your work is heavy on Azure-specific administration or requires the free, VS Code-based interface, stick with Azure Data Studio. If you prioritize powerful SQL editing, cross-database consistency, and professional-grade tooling, DataGrip is the better choice, provided you are willing to pay for a proprietary license.

Funktionsabdeckung85%

Lizenz: LicenseRef-proprietary
Preis: paid
Aktuelle Version: 2026.2.6 (29. September 2026)
Bewertung: —

DataGrip installieren Website ↗

Screenshot von DataGrip — Welcome Screen

Was gleich funktioniert

Both provide integrated SQL editors with syntax highlighting and autocomplete.
Both support connecting to multiple database engines including SQL Server and PostgreSQL.
Both allow executing queries and viewing results in tabular formats.
Both include tools for managing database objects like tables and views.

Was anders ist

DataGrip is proprietary and paid, while Azure Data Studio is free and open-source based.
Azure Data Studio has deep integration with Azure cloud services and extensions, which DataGrip lacks.
DataGrip offers more advanced refactoring, schema diffing, and visual diagram tools than Azure Data Studio.
Azure Data Studio uses a VS Code-like interface, while DataGrip uses the JetBrains IDE interface.

Ihre Microsoft Azure Data Studio-Dateien öffnen

DataGrip does not natively open Azure Data Studio workspace files (.code-workspace) or its specific configuration formats. However, since both tools primarily work with standard SQL files (.sql), you can open existing SQL scripts directly in DataGrip. Connection strings and server configurations will need to be manually recreated in DataGrip’s data source settings, as there is no direct import mechanism for Azure Data Studio’s connection profiles.

Von Microsoft Azure Data Studio zu DataGrip wechseln – Schritt für Schritt

Install DataGrip via your package manager or Flathub.
Create new data source connections in DataGrip for your SQL Server and Azure SQL instances.
Import your existing .sql script files into a new DataGrip project.
Reconfigure any automation scripts to use DataGrip’s command-line interface if needed.
Test query execution and result viewing to ensure compatibility with your workflow.

Wichtige Funktionen von DataGrip

Verbindung zu jeder Datenbank über einen JDBC‑Treiber, einschließlich PostgreSQL, Oracle, MySQL und Snowflake
Intelligenter SQL‑Editor mit schemabewusster Vervollständigung, Fehlermarkierung und Refactoring‑Werkzeugen
Mehrere unabhängige Abfrage‑Konsolen zum Ausführen, Erklären und Profilieren von SQL
Excel‑ähnlicher Dateneditor mit Inline‑Bearbeitung, Sortierung und Export nach CSV, JSON oder Excel
Visuelle Schema‑Diagramme und DDL‑Generierung für Datenbankobjekte
Data‑Diff‑Werkzeuge zum Vergleichen von Tabellen oder Abfrageergebnissen mit visuellen Unterschieden
Git‑Integration für Versionskontrolle von SQL‑Skripten und Datenbank‑Migrationen
KI‑Unterstützung für die Generierung von SQL aus natürlicher Sprache und zur Abfrage‑Erklärung

DataGrip unter Linux installieren

Flatpak (Flathub)flatpak install flathub com.jetbrains.DataGrip

Häufige Fragen

Can DataGrip connect to Azure SQL specifically?

Yes, DataGrip connects to Azure SQL via the standard JDBC driver for SQL Server, treating it like any other SQL Server instance.

Is DataGrip free?

No, DataGrip is a proprietary JetBrains product that requires a paid license, unlike the free Azure Data Studio.

Does DataGrip support Azure extensions?

No, DataGrip does not support the VS Code extension marketplace. It relies on its built-in tools and JDBC drivers rather than cloud-specific extensions.