Top 5 Database GUI Clients with Git Integration in 2026

Two people edit the same schema in the same week, and the second one wins by accident. Git is the fix, and the five clients here differ in what they actually commit. DbSchema is the one to pick when the design itself should be the versioned artifact: the .dbs model file holds the tables, columns, foreign keys and diagrams as XML, and DbSchema's own Git dialog clones, branches, pulls, pushes and stashes that file without you leaving the application. DataGrip, Toad for SQL Server, SQL Developer and DBeaver Enterprise version SQL scripts instead.

The Git dialog belongs to the Pro and Architect editions, and it sits on a normal Pro license with no separate enterprise tier above it.

Why Git matters for database teams

A schema change made by hand leaves no trace of who made it or why. Git gives the schema the history the application code already has: each change is a commit with an author, a message and a diff, each branch is a feature or an environment, and each merge is a decision somebody reviewed.

Four things follow, and they are the reason to bother. You can see what changed and who changed it without asking anybody. Two people can work on the same schema without overwriting each other, because a merge is explicit rather than accidental. A change that breaks something is undone by checking out the commit before it. And the review happens before the change reaches the database, in a pull request, rather than afterwards in an incident report.

If commits, branches and the staging area are new to you, the Git basics page covers the vocabulary, along with the conventions that suit a schema repository: a folder per database, a long-lived branch per environment, and one logical change per commit.

Git versus a database, and what each one stores

"Git vs SQL" and "Git vs a database" are usually the same question asked twice: where the single source of truth should live. Both hold history of a kind, and neither replaces the other.

A database stores live application data and the structures currently in force. Git stores a timeline of text files. Live rows do not belong in Git; the structural definitions do, which means the schema, the tables and the views, and in DbSchema's case the diagrams and virtual foreign keys drawn on top of them.

Versioning the structure buys you an audit trail of every modification and a place to review a change before anyone deploys it. Deploying it is a separate step and stays separate: Schema → Synchronize Model with Database compares the committed model against the live database and generates the SQL that closes the gap, so the database changes when you run that SQL and not before.

Database design tools with Git integration compared

The fourth column is the one to read. Four of the five put SQL text under Git, so a pull request arrives as added and removed lines and the reviewer rebuilds the schema in their head. DbSchema puts the model under Git, so the reviewer opens the same file and sees the diagram, and the Synchronization Dialog turns the difference against a live database into the statements that would close it.

Both approaches version something real, and the choice comes down to what your reviewer needs to see. A DDL diff is exact about syntax. A model diff is exact about structure, which is what a table with three new foreign keys looks like before anybody runs it.

The third column deserves a second look before a purchase order goes out, because the tiers do not line up. Git comes with the paid DataGrip product, sits behind the extra Team Coding license in Toad, and starts at the Enterprise edition in DBeaver. In DbSchema it arrives with Pro, the same edition that saves the model file, since the model file is the thing Git versions.

How DbSchema versions the model in Git

DbSchema saves the whole design into a single .dbs file in XML: tables, columns, foreign keys, and the diagrams laid out over them. Put that file in a Git repository and the schema gets the same branch, merge and rollback history as source code.

In the Model menu, Git — Collaborative Design opens the Git dialog, and the whole cycle runs inside DbSchema. Paste the repository URL and choose an empty local folder to clone into; one repository can hold several .dbs files, one per database or per component. Select the changed files and click Stage, type a message and click Commit, then click Push. GitHub and Bitbucket want a personal access token rather than your account password.

Pulling is where the design work restarts. Click Pull and DbSchema fetches and merges the latest commits into your working directory. Compare with Current then opens the Synchronization Dialog on what a teammate changed, and from there you apply the differences to your local database or generate an SQL migration script. Stash and Pop park uncommitted work while you switch branches, and Create Branch isolates a feature or an environment.

Pull, merge and commit change the .dbs file and nothing else. The database stays as it was until you run the script the Synchronization Dialog produced, which is the step that makes the schema diff a migration. The Git documentation page walks through the dialog.

If SSH key authentication fails, convert the private key to classic OpenSSH format:

ssh-keygen -p -f <privateKeyFile> -m pem -P passphrase -N passphrase

The Git dialog, saving the model to a file and schema synchronization are Pro and Architect features. Community connects, reverse-engineers and draws the diagrams.

The four clients that version SQL scripts

DataGrip by JetBrains

DataGrip carries Git support natively in the IDE and works with both local and remote repositories, so a team manages database changes and tracks versions without a second client. What travels through Git is the SQL in the project, and the review is the text diff any Git client shows[1]. For how it compares on schema design rather than on version control, see DataGrip alternatives.

Toad for SQL Server

Toad for SQL Server tracks and manages schema changes through Git, with Team Coding as the paid tier that carries it[2]. Everyone on the team works against the same recorded history rather than against whatever is on the server, and a change that causes trouble is reverted by returning to an earlier commit. The artifact is the SQL script and the objects behind it.

SQL Developer by Oracle

SQL Developer versions Oracle SQL scripts in Git from inside the IDE, with no separate license for the Git support. Oracle's SQL Developer User's Guide documents Git under Versioning: a preferences page titled "Versioning: Git", and dialogs that clone a repository, commit, create a branch, merge, pull, push and revert[3]. What reaches a reviewer is the text diff between two versions of a script.

DBeaver Enterprise Edition

DBeaver's Git integration starts at the Enterprise edition[4], which versions the project's SQL scripts and shows who changed what and when. The Community edition has none. For the design-tool comparison rather than the Git one, see DBeaver alternative.

How teams use Git in database work

The Git-based workflow

Pull the latest schema, make your change, push it back to the shared repository. Everybody works from the most recent version and every change is recorded against a name. Before a release, a visual schema diff shows whether the merged model is the one you meant to deploy, and DbSchema generates the DDL from it and steps through the statements one at a time. For where a visual diff fits against a code-only tool, see visual schema diff or a code-only migration library.

The shared environment workflow

On a shared development database, everyone connects to the same server and changes it in place. Git is not in the loop at all, so the coordination is human: you tell people what you are about to alter and hope the message arrives before the deploy does. SQL Developer and Toad for SQL Server are commonly used this way against Oracle and SQL Server.

Which of the two workflows you are in decides what to install. If the design should be reviewed before it lands, DbSchema keeps the model in Git and applies it through the Synchronization Dialog, and the review is a diagram rather than a wall of DDL. If the work is script-driven and the team lives in a SQL editor all day, DataGrip and DBeaver Enterprise version those scripts inside the IDE. What Git is and how it works is worth twenty minutes either way[5].

Once the model file is in Git, a teammate's schema change reaches you as a commit you can read, rather than as a database that stopped matching your diagram. Download DbSchema at https://dbschema.com/download.html, reverse-engineer the schema, save it as a .dbs file and commit it to a repository your team can reach. The Community Edition is free, and the 15-day Pro trial covers the Git dialog and schema synchronization.

Sources

1. DataGrip, using Git integration (JetBrains documentation)
2. Toad for SQL Server, product page (Toad World)
3. SQL Developer User's Guide, "Versioning: Git" (Oracle documentation, release 24.3)
4. DBeaver, project team work (DBeaver documentation)
5. Git, getting started: what is Git? (git-scm.com)