A DBeaver Alternative
for SQL Server & PostgreSQL

For SQL Server, PostgreSQL, MySQL, MariaDB, Oracle and SQLite work it is, particularly on SQL Server, where DBeaver keeps several tools for its paid PRO editions. In DBeaver, SQL Server execution plans, schema compare, data compare, charts and the SQL Server map viewer are PRO features; Jam SQL Studio includes all of them in its free Personal tier for personal, non-commercial use, with size caps on schema compare (200 objects) and data compare (10,000 rows per table). DBeaver supports far more databases and has a plugin ecosystem; Jam SQL Studio is a focused app with an MCP server for AI agents built in.

Not in the same way. DBeaver Community is open source under the Apache 2.0 licence and free for any use, including work. Jam SQL Studio's Personal tier is free with no account and no time limit, but it is licensed for personal, non-commercial use only; using it for work needs Pro at $9.99 per month or $99 per year per user. Personal includes unlimited connections, IntelliSense, Table Explorer, charts, execution plans, schema and data compare and SQL notebooks, with size caps on a few bulk operations. The caps are listed on the pricing page.

No. DBeaver supports many more databases through JDBC drivers. Jam SQL Studio supports SQL Server (including Azure SQL), PostgreSQL, MySQL, MariaDB, Oracle, SQLite and read-only Azure Data Explorer, with engine-specific IntelliSense for each and execution plans for SQL Server, PostgreSQL, MySQL and Oracle.

Jam SQL Studio differs from DBeaver in these areas:

• An MCP server in the desktop app — Claude Code, Codex CLI or Cursor can query your saved connections under a permission level that starts at Block and can be set per connection. DBeaver's desktop PRO editions are MCP clients; its MCP servers are the CloudBeaver and Team Edition web products and the dbvr command-line tool.
• SQL Server tools without PRO — execution plans, schema compare, data compare, charts and the geometry/geography map are in the free Personal tier; DBeaver reserves them for PRO editions.
• SQL notebooks — .ipynb notebooks with SQL cells.
• Enum dropdowns — built from native enums, CHECK constraints or sampled distinct values.
• AI chat through your own CLI — the AI Chat Sidebar runs on your installed Claude Code or Codex CLI, with no extra subscription in Jam SQL Studio.

Not in the desktop app. As of September 2026, DBeaver's desktop PRO editions (Lite, Enterprise and Ultimate) are MCP clients: since version 26.1 their AI Chat can call external MCP servers. DBeaver's MCP servers are in its web products, CloudBeaver Enterprise, CloudBeaver AWS and Team Edition Web, where an administrator turns MCP on per connection (since 26.0), and in the dbvr command-line tool, which since 26.1 can generate an MCP configuration that exposes one connection. Jam SQL Studio's MCP server runs inside the desktop app you already use.

Yes. Jam SQL Studio runs a local MCP server so external AI tools such as Claude Code, Codex CLI and Cursor can list saved connections (no passwords) and run policy-controlled queries.

It is off until you enable it, binds to localhost only, requires a bearer token and audits tool calls. The permission level starts at Block; Read-only allows SELECT-class statements, and Confirm asks you in the app before each write. By default a query returns at most 1,000 rows and is cancelled after 30 seconds. Setup is in the MCP docs.

Yes. The Import menu reads DBeaver's saved connections across the five relational engines; passwords are re-entered, never read from another app's secure store. Your .sql scripts open as they are. Ctrl+Enter (⌘Enter on macOS) executes the statement under the cursor, as in DBeaver. To also use DBeaver's Alt+X to run the script (⌥X on macOS), Ctrl+T for the results panel and Ctrl+Shift+F to format (Control on every platform, macOS included), pick the DBeaver scheme in Settings → Keyboard Shortcuts. See connection import.

Jam SQL Studio is built on Electron; DBeaver runs on the JVM (Eclipse/SWT platform) and has bundled OpenJDK in its downloads since version 23.0, so you do not install Java separately. In Jam SQL Studio there's no heap size to tune, and large result sets use virtualized grids so only the visible rows render at any time.

DBeaver uses the Eclipse platform's SWT interface with Light, Dark and Classic themes and a Find actions command search (Ctrl+3). Jam SQL Studio is built with React, has light and dark themes that follow your system setting by default, and its command palette also searches database objects. The interface looks the same on Mac, Windows and Linux.