What is included in JetBrains DataGrip?

Multi-engine connectivity – Connects to PostgreSQL, MySQL, Oracle, SQL Server, MongoDB.
Schema-aware completion – Suggests tables, columns, and joins from your schema.
Query console – Runs SQL with history and parameterized queries.
Data editor – Edit, filter, and export results to many formats.
Version control – Built-in Git, SVN, and Mercurial integration.
Core Capacity – Connects to any database with a JDBC driver.

What are the main benefits of JetBrains DataGrip?

JetBrains DataGrip is a cross-platform database IDE for writing SQL and managing PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, and other engines from one window. It targets developers, DBAs, and analysts who work across several databases daily rather than inside a single vendor's tool.

One workspace – Manage every database from a single window.
Fewer errors – On-the-fly analysis flags bugs before you run.
Safe refactoring – Renaming objects updates all SQL references automatically.
Free for learning – No payment needed for non-commercial database work.
Flexible export – Export to CSV, JSON, Excel, and Markdown.
AI assistance – Text-to-SQL and explanations aware of your schema.

What does JetBrains DataGrip do?

JetBrains DataGrip is a standalone SQL IDE that connects to relational and NoSQL databases through JDBC drivers, so any engine with a driver can be added. It provides schema-aware code completion, on-the-fly error detection, and refactoring that renames database objects across both your SQL files and the database itself. A query console with local history saves every keystroke as you type, which protects unsaved work after a crash. The data editor lets you browse, filter, and edit table contents and navigate between tables by foreign key without writing SELECT statements. Import and export cover CSV, TSV, JSON, HTML, Markdown, and Excel, plus custom formats you define yourself.

Who is JetBrains DataGrip best suited for?

DataGrip fits developers, database administrators, and analysts who work across more than one database engine and want consistent tooling instead of separate vendor clients. A backend developer running PostgreSQL in production and MySQL in a side project can manage both in one window with the same shortcuts and code completion. Driver support comes in two levels, Complete and Basic, so engines like PostgreSQL, Oracle, and SQL Server get full introspection and quick-fixes, while less common databases still connect and run queries. It is a poor fit for non-technical staff who only need charts or one-click reports, since DataGrip assumes you write SQL by hand.

Which databases and platforms does DataGrip support?

DataGrip connects to any database that ships a JDBC driver, with native complete support for engines including PostgreSQL, MySQL, MariaDB, Oracle, Microsoft SQL Server, SQLite, MongoDB, Cassandra, and Amazon Redshift. Complete support adds enhanced code completion and deeper introspection, while basic-support drivers still provide highlighting and object browsing. The databases themselves can run locally, on a server, or in the cloud, and recent versions can browse databases directly inside AWS, Google Cloud, and Azure accounts. The IDE runs on Windows, macOS, and Linux because it is built on the JVM. The same database functionality is also bundled into IntelliJ IDEA Ultimate, PyCharm Professional, PhpStorm, and other JetBrains IDEs, so existing JetBrains users may already have it.

Do I need to pay for DataGrip, or is it free?

DataGrip is free for non-commercial use and requires a paid license for commercial work. Since October 2025, JetBrains grants a free non-commercial license that covers learning, hobby projects, open-source contributions, and content creation, and that free version is feature-identical to the paid one. Commercial development — any work that earns direct or indirect revenue — requires a paid subscription, which is the license sold here. The practical difference is not features but usage rights and data handling: the free tier collects detailed, code-related telemetry that cannot be fully disabled, while a paid subscription gives you full control over what is shared. If your SQL work supports a job, a client, or a product your company sells, the commercial license is the one you need.

What are the main limitations to know before buying?

The first thing to verify is licensing intent: the paid version grants commercial-use rights but does not add features over the free non-commercial tier, so do not buy it expecting extra tools. Real-time collaborative editing through Code With Me is not available in DataGrip, unlike some other JetBrains IDEs, so a shared pair-programming session is not supported here. DataGrip is a development and query tool, not a backup, monitoring, or database-administration server product, so it does not replace scheduled backups or a DBA platform. Driver quality also varies: less common engines fall under basic support, which means reduced code completion and introspection compared with PostgreSQL or Oracle. Knowing these boundaries up front avoids buying DataGrip for a job it was not built to do.

Does JetBrains DataGrip include AI features?

Yes. DataGrip includes an AI Assistant that provides text-to-SQL generation, schema-aware code explanations, and error fixes directly in the editor, with a free AI tier included. More advanced AI capability is available through the separate JetBrains AI Pro add-on.

Is DataGrip the same as the database tools in IntelliJ IDEA?

The database functionality in DataGrip is the same engine used by the Database Tools plugin in IntelliJ IDEA Ultimate, PyCharm Professional, PhpStorm, GoLand, Rider, and other JetBrains IDEs. If you already hold one of those IDEs, you can manage databases there and may not need a separate DataGrip license. A standalone DataGrip license makes sense when SQL and database work is your main task rather than a side activity inside another IDE.