DataGrip for macOS

Description

Over 20 supported database types. That’s how many relational and NoSQL targets DataGrip can handle. It’s a cross-platform IDE built for writing, analysing, and refactoring SQL, with a smart console that holds your query history automatically.

Find any table instantly with navigation search

Say you need to pull sales figures from a PostgreSQL server, but you can’t remember the exact table name. DataGrip’s navigation search lets you find database objects by name without clicking through endless tree views. Once you’ve found it, context-aware code completion suggests columns and joins based on where your cursor sits — no guesswork. Write the query in normal mode, then switch to read-only mode before hitting a production server. If the output looks sluggish, open the query plan tool and switch to the graph view; it shows where indexes are missing faster than scanning raw text.

After the results come back

With data in hand, refactoring tools let you rename aliases across the whole script in one go. All queries stay in the local history, so the version from three hours ago isn’t lost. DataGrip 2026.2.5 runs on macOS 11 and later, on both Intel and Apple Silicon Macs.

One IDE to replace your handful of admin clients

Does it replace my existing database tools? For many workflows, yes — one IDE instead of a handful of admin clients. You can still keep a lightweight tool like TablePlus around for quick lookups, but DataGrip handles the heavy lifting: writing, debugging, and versioning SQL across several engines at once.

Will it slow down on a Mac with 8 GB of RAM? JetBrains IDEs like a bit of memory. On 8 GB it runs fine for most databases, though keeping a dozen large result sets open might make things tight. On Apple Silicon the native ARM build feels snappy; Intel Macs from the last few years handle it without fuss.

What about connecting to obscure or older database versions? The driver list is long and you can add custom JDBC drivers. If your database speaks JDBC, DataGrip can probably talk to it. People searching for datagrip torrent or intitle:"datagrip" "torrent license" often want to test exactly that kind of edge case before committing.

Reconnect to three data sources and jump to orders_archive

9:15 am. You open a project that points to three data sources: a local PostgreSQL instance, a staging MySQL server, and a Redshift cluster. The IDE reconnects automatically and the schema tree refreshes. You type Ctrl+N and search for “orders_archive” — it appears instantly, no scrolling.

You start a new console linked to PostgreSQL. As you type SELECT o., completion suggests columns from the orders table you joined two lines above. A small yellow underline flags a missing join condition; you press Alt+Enter and accept the quick-fix. The query runs in under a second. You copy the result set as CSV, then notice something off in the WHERE clause on line 12. The local history icon shows the last five versions of this console — you diff against the one from ten minutes ago and spot the mistake.

Before moving to Redshift, you switch the console to read-only mode. No accidental writes. You run an EXPLAIN, click the plan tab, and the graph view highlights a full table scan in bright red. Notes go into a comment block above the query. By 9:45 you’ve committed the console file to Git, right from the IDE. Someone hunting for intitle:"datagrip" "torrent download" gets to discover that Git integration ships ready to use, no plugin required — and it’s been there for years, solid and quiet.

What’s new

DataGrip 2026.2.5 is out.

Requirements

• macOS 11 or later
• Intel or Apple Silicon Mac