Navicat Version Control vs
Jam SQL Studio Database Blueprint
Navicat helps you generate and export SQL scripts you can version-control in Git — the Git commit happens in an external client. Jam SQL Studio's Database Blueprint materializes your schema as .sql files and commits, branches, and pushes them from a built-in Git panel — and it versions table data alongside the schema. Here's the honest comparison.
Database Blueprint is in beta • Free for personal use • Mac, Windows, Linux
How Navicat Handles Version Control
Navicat frames version control as a Database-as-Code workflow: it produces SQL artifacts you can keep in Git. (Navicat blog)
Generate SQL from Visual Tools
Navicat's visual query builder, data modeling, and stored-procedure tools translate visual operations into SQL scripts. Navicat describes these scripts as artifacts that "can be version-controlled as part of a Database-as-Code workflow."
Export Schema as Scripts
Navicat Data Modeler can export schema designs as SQL scripts — a code-based representation of the database structure you can version and deploy. Object DDL (tables, views, procedures, functions) can likewise be saved out as scripts.
Commit in an External Git Client
The actual version-control step — staging, commit, branch, push — happens in your own Git tooling against those exported files. Navicat's documented story emphasizes producing scripts that "can be version-controlled," not a built-in Git panel that links a live database to a repository and commits from inside Navicat. (Check Navicat's current docs for your specific edition.)
Navicat Version Control vs Database Blueprint
Script-export-then-commit vs an in-app, two-way-synced, Git-tracked schema folder (beta).
| Capability | Jam SQL Studio — Database Blueprint | Navicat — Database-as-Code |
|---|---|---|
| Schema as .sql files | ✓ One per object, auto-emitted | Generated / exported manually |
| One-click materialize live DB to files | ✓ Refresh from DB | ✗ Export per object / model |
| Built-in Git panel (commit / branch / push) | ✓ Inside the tab | ✗ Use external Git client |
| Auto-generated commit messages | ✓ From changed object set | ✗ |
| Merge-conflict resolution in-app | ✓ | ✗ |
| Drift preview (DB vs files) | ✓ Preview changes | ✗ |
| Three-way merge (local / baseline / live) | ✓ | ✗ |
| Apply folder back to DB with review | ✓ Reuses Schema Compare | Run scripts manually |
| Version & sync table row data, not just schema | ✓ Captured row sidecars + row-level sync | ✗ Schema scripts only |
| Link one folder to Dev / Stage / Prod | ✓ Per-link MetaInfo | ✗ |
| Price | ✓ Free Personal tier | Paid subscription |
What Database Blueprint Adds
The Git workflow lives inside the SQL client — no separate export-then-commit dance.
Schema as .sql Files
Refresh from DB writes a .sql file for every table, view, procedure, function, and schema — the whole database, in one action.
Built-in Git Panel
Status, ahead/behind, commit (auto-messaged), branch, pull, push, and a merge-conflict viewer — without opening a separate Git tool.
Apply Folder to DB
Push edits back to a linked database with Schema Compare's full diff and generated DDL review before anything runs.
Drift Preview + Three-Way Merge
See exactly how the live database differs from your files, and reconcile local edits, baseline, and live with a proper three-way merge.
Table Data, Versioned Too
Opt a table into data capture and its rows land in a tracked Data/ folder. Sync data folder → DB pushes row-level inserts, updates, and deletes back to a linked database.
Full reference: Database Blueprint documentation.
Frequently Asked Questions
Navicat version control vs Jam SQL Studio Database Blueprint.
Does Navicat have version control?
Navicat supports a Database-as-Code workflow: its visual builders and Data Modeler generate or export SQL scripts that you can version-control in Git. The Git commit / branch / push step happens in your own external Git client — Navicat's documented story is about producing the SQL artifacts rather than a built-in in-app Git panel linking a live database to a repository. Check Navicat's current docs for your edition.
Can Navicat commit schema to Git from inside the app?
Navicat's documented approach is to generate / export object scripts and version-control those files with your own Git tooling, rather than committing and pushing from a Git panel inside Navicat. Jam SQL Studio's Database Blueprint ships a built-in Git panel that commits, branches, pulls, and pushes the schema folder without leaving the app.
How does Database Blueprint compare for version control?
Database Blueprint materializes the schema as a folder of .sql files (one per table, view, procedure, function, schema) kept in two-way sync with one or more linked databases, with a built-in Git panel, drift preview, three-way merge, and an Apply folder to DB hand-off via Schema Compare. It is in beta and supports SQL Server, PostgreSQL, MySQL/MariaDB, Oracle, and SQLite.
Does Database Blueprint version table data too?
Yes — not just schema. During Refresh from DB you can opt any table into data capture, and Jam writes its rows to a tracked Data/ folder (a .data.sql upsert script plus a .data.json sidecar with the primary key and column types) that commits to Git alongside the DDL. Sync data folder → DB then diffs those rows against the live table and pushes row-level inserts, updates, and deletes to a linked database, with an Open in Data Compare hand-off for closer review. Navicat's Database-as-Code workflow centers on schema scripts and has no built-in capture-and-sync of table data into version control.
Is Jam SQL Studio free?
Jam SQL Studio has a free Personal tier; Navicat is a paid subscription product. Database Blueprint is available in Personal mode for databases with up to 200 objects (tables + views + procedures + functions); larger databases require Pro. See the broader Navicat alternative comparison.
Commit Schema to Git Without Leaving Your SQL Client
Download Jam SQL Studio free and version-control your schema with a built-in Git panel.
Comparing Database Source Control?
See how schema version control works in other SQL tools.
Learn more: Database Blueprint docs · Schema Compare
Jam SQL Studio