Loading…
Loading…
Which is the better database for Mac in 2026?
We compared DataGrip and DBeaver Community Edition across 5 key factors including price, open-source status, and community adoption. Both DataGrip and DBeaver Community Edition are excellent database. Read our full breakdown below.
Databases and SQL IDE
Universal database tool and SQL client
Both DataGrip and DBeaver Community Edition are excellent database. DataGrip is better for users who prefer polished experiences, while DBeaver Community Edition excels for those who value established ecosystems.
| Feature | DataGrip | DBeaver Community Edition |
|---|---|---|
| Price | Free | Free |
| Open Source | No | No |
| Monthly Installs | N/A | N/A |
| GitHub Stars | N/A | N/A |
| Category | Developer Tools | Developer Tools |
brew install --cask datagripbrew install --cask dbeaver-communityDataGrip is a cross-platform IDE for database developers, designed to simplify and accelerate database management tasks. Developed by JetBrains, DataGrip offers a comprehensive set of features for writing, executing, and analyzing SQL queries, as well as managing database schemas and objects. Its intelligent code completion, refactoring capabilities, and on-the-fly analysis enhance developer productivity and code quality. DataGrip supports a wide range of database systems, including MySQL, PostgreSQL, Oracle, SQL Server, and more, making it a versatile tool for diverse database environments. Its user-friendly interface and robust feature set cater to professional database developers who require advanced coding assistance and seamless integration within the JetBrains ecosystem.
DBeaver is a free, open-source universal database tool for developers, SQL programmers, database administrators, and analysts. It supports a wide range of database systems, including MySQL, PostgreSQL, Oracle, SQL Server, and more, making it a versatile solution for diverse database environments. DBeaver offers a comprehensive set of features for browsing and editing database objects, executing SQL queries, and managing database connections. Its user-friendly interface and broad database support make it an excellent choice for users who need a universal database management tool that can handle various database-related tasks. DBeaver's open-source nature encourages community involvement and ensures continuous development, making it a reliable and adaptable solution for diverse user needs.
DataGrip supports a wide range of database systems, including MySQL, PostgreSQL, Oracle, SQL Server, DB2, and more. It provides dedicated support for each database system, ensuring optimal compatibility and performance. DataGrip's database support is continuously updated to include the latest database versions and features.
DBeaver supports an even broader range of database systems, including NoSQL databases and cloud-based data warehouses. It provides generic JDBC support for databases that are not explicitly supported. DBeaver's extensive database support makes it a versatile tool for users working with diverse database environments.
Verdict: DBeaver wins due to its wider range of supported databases, including NoSQL and cloud-based systems.
DataGrip offers intelligent code completion that suggests relevant code snippets, table names, and column names based on the current context. Its code completion is highly accurate and customizable, enhancing developer productivity. DataGrip's code completion supports various database languages, including SQL, Java, and Python.
DBeaver provides code completion that suggests table names, column names, and SQL keywords. While its code completion is not as advanced as DataGrip's, it is still useful for improving coding efficiency. DBeaver's code completion supports SQL and other database languages.
Verdict: DataGrip's intelligent code completion is more accurate and customizable, making it a better choice for complex coding tasks.
DataGrip offers robust refactoring capabilities that allow developers to rename tables, columns, and other database objects with ease. Its refactoring tools automatically update all references to the renamed objects, ensuring code consistency. DataGrip's refactoring capabilities are essential for maintaining large and complex database schemas.
DBeaver provides limited refactoring capabilities, such as renaming database objects. However, its refactoring tools are not as comprehensive as DataGrip's, requiring manual updates to references. DBeaver's refactoring capabilities are suitable for basic refactoring tasks.
Verdict: DataGrip's robust refactoring capabilities make it a better choice for maintaining large and complex database schemas.
DataGrip offers basic data visualization capabilities, such as displaying data in tabular format. However, it lacks advanced charting and graphing tools. DataGrip's data visualization capabilities are sufficient for simple data analysis tasks.
DBeaver provides more advanced data visualization capabilities, including charting and graphing tools. It allows users to create various types of charts and graphs to analyze data patterns and trends. DBeaver's data visualization capabilities are useful for data analysts and business intelligence professionals.
Verdict: DBeaver's advanced data visualization capabilities make it a better choice for data analysts and business intelligence professionals.
DataGrip offers robust schema management capabilities, allowing developers to create, modify, and analyze database schemas with ease. Its schema management tools provide a visual representation of database objects and their relationships. DataGrip's schema management capabilities are essential for maintaining large and complex database structures.
DBeaver provides comprehensive schema management capabilities, allowing users to browse and edit database objects, as well as manage database connections. Its schema management tools are user-friendly and intuitive. DBeaver's schema management capabilities are suitable for various database-related tasks.
Verdict: Both DataGrip and DBeaver offer excellent schema management capabilities, making them suitable for maintaining database structures.
DataGrip seamlessly integrates with other JetBrains IDEs, such as IntelliJ IDEA and PyCharm. This integration allows developers to work with databases directly from their IDEs, streamlining development workflows. DataGrip's integration capabilities enhance developer productivity and code quality.
DBeaver offers limited integration with other development tools. However, it supports various plugin integrations that extend its functionality. DBeaver's integration capabilities are not as comprehensive as DataGrip's.
Verdict: DataGrip's seamless integration with other JetBrains IDEs makes it a better choice for developers who use multiple JetBrains products.
DataGrip features a polished and intuitive user interface that is easy to navigate. Its user interface is highly customizable, allowing users to tailor the tool to their specific needs. DataGrip's user interface enhances developer productivity and code quality.
DBeaver provides a user-friendly interface that is easy to learn and use. Its user interface is not as customizable as DataGrip's, but it is still practical for various database-related tasks. DBeaver's user interface is suitable for diverse user needs.
Verdict: DataGrip's polished and customizable user interface makes it a better choice for developers who value aesthetics and productivity.
DataGrip's advanced coding assistance, refactoring capabilities, and seamless integration within the JetBrains ecosystem make it a better choice for database developers.
DBeaver's broad database support, data visualization capabilities, and free and open-source nature make it an excellent choice for data analysts.
DBeaver's comprehensive schema management capabilities and broad database support make it a practical choice for database administrators.
DBeaver's free and open-source nature and user-friendly interface make it an accessible and cost-effective tool for students learning database management.
DBeaver's free and open-source nature and broad database support make it a versatile and cost-effective tool for freelancers working with diverse database environments.
DataGrip's robust schema management, refactoring and integration with other enterprise JetBrains IDEs makes it suitable for managing large complex enterprise schemas.
DBeaver Community Edition is completely free and supports over 100 databases out of the box. For analysts who primarily run SELECT queries, export results to CSV/Excel, and visualize schemas, DBeaver provides everything needed without any subscription cost. The ER diagram tool alone makes it invaluable for understanding unfamiliar databases.
DataGrip's intelligent SQL completion, real-time error detection, and refactoring tools (like renaming a column across all dependent views) dramatically speed up writing complex queries. Its integration with JetBrains IDEs means you can navigate between your application code and database queries seamlessly.
DBeaver supports an extraordinary range of databases—from PostgreSQL and MySQL to MongoDB, Cassandra, ClickHouse, and even exotic engines like DuckDB. If your role involves managing heterogeneous database infrastructure, DBeaver's universal connectivity through JDBC drivers means one tool covers everything without additional plugin purchases.
Migrating from DataGrip to DBeaver Community Edition involves exporting database connections, schemas, and scripts. DataGrip allows exporting database connections as XML files, which can be imported into DBeaver. Exporting schemas and scripts can be done using database-specific tools. However, seamless transfer of advanced configurations or custom settings may not be possible, requiring manual adjustments in DBeaver.
Migrating from DBeaver Community Edition to DataGrip involves exporting database connections, schemas, and scripts. DBeaver allows exporting database connections as XML files, which can be imported into DataGrip. Exporting schemas and scripts can be done using database-specific tools. DataGrip's integration with other JetBrains IDEs can streamline migration workflows. However, transferring custom configurations may require manual adjustments.
Ensure compatibility between database drivers and versions. Validate data integrity after migration. Refer to the official documentation for both tools. Consider using automated migration tools or scripts for large-scale migrations.
Winner
Runner-up
DataGrip and DBeaver are both powerful database management tools for Mac users in 2026, but they cater to different needs. DataGrip offers advanced coding assistance and seamless integration within the JetBrains ecosystem, making it a better choice for professional database developers. DBeaver Community Edition is a versatile, free, and open-source tool, supporting a wider range of databases and providing advanced data visualization capabilities, making it a better choice for data analysts and database administrators.
Bottom Line: Choose DataGrip for advanced coding assistance and seamless integration, or DBeaver Community Edition for versatility and broad database support.
Browse database apps or discover curated bundles.
Integrated development environments for database developers, providing tools for writing, executing, and analyzing SQL queries, as well as managing database schemas and objects.
Software applications used to connect to and manage relational databases using SQL. These clients provide a user interface for executing queries, browsing database objects, and performing administrative tasks.
Software applications used to manage and administer database systems, including tasks such as schema design, data import/export, performance monitoring, and security management.
Last verified: Feb 15, 2026
Accessed Feb 15, 2026
Accessed Feb 15, 2026
Accessed Feb 15, 2026
Accessed Feb 15, 2026
Research queries: DataGrip vs DBeaver 2026; DataGrip review 2026; DBeaver review 2026; Database IDE Mac 2026