Comparison
AddisDB vs JetBrains DataGrip
A database IDE. The best SQL editor of the group, priced and shaped like a developer tool rather than a database browser.
Engine breadth
How many database engines and data-file formats it can actually open.
JetBrains DataGrip — Good
Deep, first-class support for the major engines — MySQL, Postgres, SQL Server, Oracle, MongoDB, Redis — plus 25+ more over JDBC. Fewer than DBeaver, but the support it has is more thorough.
AddisDB — Strong
95 engines and data-file formats, from Postgres and MySQL through Mongo, Redis, Cassandra and Neo4j to Snowflake, BigQuery, ClickHouse and local CSV/Parquet/GeoJSON. Every engine is on every plan, including the free one.
Cost & openness
What it costs to use for real work, and whether you can read the source.
JetBrains DataGrip — Limited
The most expensive here: $299/year for an individual, $979/user/year for an organization. A free non-commercial licence arrived in October 2025, which covers hobby use but not your job. AI is a further paid add-on. Not open source.
AddisDB — Good
Free forever for databases on your own machine — the whole client, every engine, no account and no card. $49/year to reach databases that are not local; $99/user/year for teams; $299/user/year for SSO, audit log and RBAC. Source is not public.
Platform reach
Which operating systems and surfaces it runs on.
JetBrains DataGrip — Good
Windows, macOS and Linux, on the JVM. Also available inside the other JetBrains IDEs if you already pay for one.
AddisDB — Strong
macOS, Windows and Linux as a native app, plus a CLI with a TUI and a VS Code extension that share the same core.
Production safety
What stands between you and the wrong statement on a production database.
JetBrains DataGrip — Good
Read-only mode per data source and a confirmation step for statements that modify data, which is more deliberate than most. It warns rather than classifying and blocking.
AddisDB — Strong
Connections can be marked read-only; statements are classified before they run, so an unqualified DELETE or a DROP is stopped rather than reported afterwards. A prod environment tag adds write guards, and row-count thresholds catch the statement that would hit more rows than you meant.
AI capability
What the AI does, what it costs, and where your schema and keys go.
JetBrains DataGrip — Good
AI Assistant does natural-language SQL and explanation, and it is good — but it is a separate subscription on top of the licence (about $100/year for an individual), so the price of the AI story is the licence plus the add-on.
AddisDB — Strong
Plain-English to SQL, schema-aware, with the generated statement shown for you to edit before it runs. Bring your own provider key: it is stored in the OS credential store, calls go straight to your provider, and AI is included on the free tier because we are not the ones paying for the tokens.
Schema tooling
Diagrams, diffs, and getting a schema change from your laptop to production.
JetBrains DataGrip — Strong
The strongest refactoring in the group: rename a column and it updates the references. Diagrams, schema compare and migration generation are all first-class.
AddisDB — Strong
ERD of tables and foreign keys, schema diff between databases, and a migration preview that shows the exact SQL plus the dangerous parts — dropped columns, rewrites, locks — before anything runs. Reads Drizzle Kit and Prisma changes too.
The scoreboard
JetBrains DataGrip matches or beats AddisDB on: Schema tooling.
AddisDB comes out ahead on: Engine breadth, Cost & openness, Platform reach, Production safety, AI capability.
Which one to pick
Pick JetBrains DataGrip if…
The SQL editor is where you live. Nothing here matches its completion, navigation and refactoring, and if you already pay for a JetBrains subscription it costs you nothing extra.
Pick AddisDB if…
You want $299/year and a separate AI add-on to not be the price of entry, or you want production guardrails the editor enforces rather than warns about.
About this comparison
Ratings and prices were checked against each vendor's own pages on 2026-08-11. We wrote this and we make one of the tools in it, so read it as what it is — and if something here is wrong or out of date, tell us and we will correct it.