DataGrip vs DBeaver: paying for polish, or not paying at all
These two are more alike than their fans admit. Both are JVM applications, both connect to dozens of engines through JDBC, both run identically on Windows, macOS and Linux, and both are dense, capable, professional tools rather than lightweight ones.
The real differences come down to two things: how good the SQL editor is, and whether you want to pay. Those pull in opposite directions, which is what makes the choice interesting.
The short version
| DataGrip | DBeaver | |
|---|---|---|
| Price | JetBrains subscription | Community free and open source; PRO on annual subscription |
| Built on | IntelliJ platform (JVM) | Eclipse platform (JVM), Java 21+ |
| Editor intelligence | Best in class | Good, not IntelliJ-grade |
| Driver coverage | Very broad | Very broad |
| Free option | Trial, plus student and open source licences | Community Edition, indefinitely |
| Best for | Heavy hand-written SQL, and existing JetBrains users | Cost-sensitive work, or standardising a team on one free tool |
Where DataGrip earns its money
DataGrip is built on the IntelliJ platform, and it inherits the thing JetBrains is genuinely best at: understanding code. In practice that means completion that knows your schema and resolves aliases properly, refactoring that renames a column and updates the references, navigation from a query to a table definition, and inspections that flag a problem before you run the statement.
If you write substantial SQL by hand, this is not cosmetic. It is the difference between an editor that highlights keywords and one that understands what you are writing.
It is sold by subscription, in the usual JetBrains way, with a free trial and discounted or free licences for students and open source projects. Worth knowing: the database tooling inside IntelliJ IDEA Ultimate and PyCharm Professional is the same technology, so if you already pay for one of those, you may not need a separate DataGrip licence at all.
Where DBeaver wins
DBeaver Community Edition is free, open source, and not a crippled demo. It connects to PostgreSQL, MySQL, SQL Server and Oracle as well as MongoDB, Cassandra, Redis, Redshift and BigQuery, runs on Windows 10 and later, macOS 11 and later, and Linux across deb, rpm, snap and flatpak on x86 and ARM.
For a lot of teams that is the whole argument. Free means no procurement, no seat counting, and no awkward conversation when someone joins. DBeaver also sells PRO editions on an annual subscription across desktop, web and CLI if you want the extra features and support, but nobody is forced there.
How to decide
Do you already pay JetBrains? Then check whether your existing IDE includes the database tools before buying anything. This question alone resolves a surprising number of these comparisons.
How much SQL do you write by hand?If the answer is a lot, DataGrip's editor is worth money and the subscription pays for itself in avoided typos and faster navigation. If you mostly browse data and run queries someone else wrote, that advantage largely evaporates and free wins.
Who else has to use it? Standardising a team on a free tool removes a recurring cost and a licensing conversation. That is a real consideration and often outweighs editor quality for the people approving the budget.
If the JVM is the thing bothering you
A recurring reason people search this comparison is not really about which is better. It is that both feel heavy on a laptop, and the reader is hoping one of them is lighter. Neither is: that weight is the JVM and the platform each is built on, and it is the direct cost of running everywhere and connecting to everything.
A native client makes the opposite trade, giving up platforms and driver breadth for a lighter application. Ours is FluentDB, which is macOS only, covers four engines rather than fifty, costs from $54 once, and adds an AI co-pilot. That is a narrower tool by design and it will not suit everyone reading this. We have written honest comparisons against DataGrip and DBeaver if you want the detail, including where each of them beats us.