Free PostgreSQL Client for Windows,
Mac (Apple Silicon) & Linux
Jam SQL Studio is a modern PostgreSQL IDE with visual EXPLAIN ANALYZE, schema compare, IntelliSense, and AI agent support — one desktop app for all your PostgreSQL databases.
Free for personal use • No account required • Mac, Windows, Linux
Available Natively on Mac, Windows, and Linux
Jam SQL Studio ships a dark-mode-first desktop app for all three platforms, with a native Apple Silicon build on Mac. Weighing it against pgAdmin, DBeaver, DataGrip, or TablePlus feature-by-feature? See the full PostgreSQL GUI client comparison.
macOS
Native Apple Silicon build, plus Intel. Works on macOS 11+.
Windows
Full Windows support with native installer.
Linux
.deb, .rpm, and Arch packages for major distros.
Jam SQL Studio vs pgAdmin vs DBeaver vs DataGrip vs TablePlus
See how Jam SQL Studio compares to other PostgreSQL GUI clients.
| Feature | Jam SQL Studio | pgAdmin | DBeaver | DataGrip | TablePlus |
|---|---|---|---|---|---|
| macOS Support | ✓ | ✓ | ✓ | ✓ | ✓ |
| Linux Support | ✓ | ✓ | ✓ | ✓ | ✓ |
| Windows Support | ✓ | ✓ | ✓ | ✓ | ✓ |
| Desktop App | ✓ | Desktop Mode (web tech) | ✓ | ✓ | ✓ |
| AI-Native (MCP) | ✓ Built-in | ✗ | ✗ | AI Assistant | ✗ |
| IntelliSense | ✓ | Basic | ✓ | ✓ | Basic |
| EXPLAIN ANALYZE Visualization | ✓ | ✓ Graphical | Text only | ✓ | ✗ |
| Schema Compare | ✓ | ✗ | Pro only | ✓ | ✗ |
| Data Compare | ✓ | ✗ | Pro only | ✓ | ✗ |
| Built-in Charting | ✓ | ✗ | ✗ | ✗ | ✗ |
| Session Browser | ✓ | ✓ Dashboard | ✗ | Sessions tab | ✗ |
| Performance Dashboard | ✓ | ✓ Dashboard | ✗ | ✗ | ✗ |
| SQL Notebooks | ✓ .ipynb | ✗ | ✗ | ✗ | ✗ |
| Price | ✓ Free | ✓ Free | Free / $12/mo | ✗ From $99/yr | Free / $99 |
Why Jam SQL Studio for PostgreSQL?
PostgreSQL deserves a modern IDE with visual query plans, schema diffing, and AI integration built in.
Visual EXPLAIN ANALYZE
Estimated plans run EXPLAIN (FORMAT JSON) on any PostgreSQL version; Analyze runs EXPLAIN (ANALYZE, BUFFERS, FORMAT JSON), so buffer hit/read counts are always captured, not an opt-in extra. On a PostgreSQL 19 (beta) server the capture adds the IO option automatically for per-node I/O timing. Cost and percent-of-total badges are read straight from each node's own Total Cost value, and you can compare two plans side-by-side.
Schema & Data Compare
Diff schemas and table data between two PostgreSQL databases. View side-by-side DDL differences and generate synchronization scripts to keep environments in sync.
AI-Native & Local-First
Jam SQL Studio combines an AI Workspace (file-backed tabs + context) with a local MCP server (Model Context Protocol), so tools like Claude Desktop / Claude Code, OpenCode, and Codex CLI can safely call SQL Studio as a database tool under your AI policy.
DBA Tools
The Session Browser reads pg_stat_activity and pg_locks for live sessions, wait events, and lock contention, and can terminate a session via pg_cancel_backend / pg_terminate_backend. The Performance Dashboard adds top-SQL-by-time, wait statistics, and (PostgreSQL 19, beta) an autovacuum scoring panel — all without leaving the IDE.
PostgreSQL's JSONB and Enum Columns, Done Right
PostgreSQL has some of the deepest JSON support of any relational engine, so Jam SQL Studio treats jsonb columns as first-class instead of raw text. The JSON filter chip covers key presence, equality/inequality, numeric comparisons, contains, empty checks, and array-wildcard ([*]) matching, built on #>> / #>, jsonb_path_query, and jsonb_path_exists. Recursive-descent paths ($..foo) are supported natively (rewritten to jsonpath's **) — PostgreSQL and Oracle are the only two engines where that works. On PostgreSQL 19 (beta) the chip also gains case-insensitive equality (path_ieq / any_ieq) via the jsonpath .lower() method, gated to PG19+ because older servers don't have it.
Declare a column as an enum and Jam SQL Studio sources its values in priority order from the native pg_enum type, a column CHECK (col IN (...)) constraint, or a sampled SELECT DISTINCT — capped at 200 distinct values (scanning at most 100,000 rows, 5-second wall-clock cap) before the picker falls back to free text. See the Enum Columns and JSON Columns guides for the full mechanics.
PostgreSQL 19 (Beta): What's New in Jam SQL Studio
The Object Explorer's table context menu gains a Maintenance submenu (REPACK, REPACK CONCURRENTLY, VACUUM, ANALYZE — REPACK is 19's successor to VACUUM FULL/CLUSTER). Security Manager's Script as CREATE for roles and databases uses the native pg_get_role_ddl / pg_get_database_ddl functions when present. SQL/PGQ property graphs are listed in the Object Explorer with GRAPH_TABLE query scaffolding. Six built-in SQL snippets cover REPACK, WAIT FOR LSN, ON CONFLICT DO SELECT, temporal FOR PORTION OF UPDATE/DELETE, and GROUP BY ALL. Everything here falls back gracefully on older servers — nothing requires PG19 to use the app.
PostgreSQL Features in Jam SQL Studio
Everything you need to develop, optimize, and manage PostgreSQL databases.
EXPLAIN ANALYZE Plans
Tree and graph views of EXPLAIN (FORMAT JSON) (any version) and EXPLAIN (ANALYZE, BUFFERS, ...) (buffers always on; adds IO on PostgreSQL 19 beta). Cost badges read each node's own cost value.
Schema Compare
Compare schemas across PostgreSQL databases. View side-by-side DDL differences and generate synchronization scripts. No plugins or extensions required.
IntelliSense
Context-aware code completion for tables, columns, CTEs, and functions — function/type suggestions come from your server's live pg_proc / pg_type catalog, so extension-installed functions show up too.
Session Browser
Reads pg_stat_activity and pg_locks for live sessions, wait events, and lock contention. Terminate a session via pg_cancel_backend / pg_terminate_backend directly.
Charts
Create bar, line, pie, and scatter charts from query results. Export as SVG or PNG without leaving the IDE.
AI Agent Support
Built for agentic SQL workflows: AI Workspace inside the app + local MCP server (Model Context Protocol) for safe, policy-controlled agent queries.
Spatial / PostGIS Maps
PostGIS geometry and geography render on interactive maps: peek maps in the grid, a Query Editor Map view, Table Explorer spatial filters, and a layered Spatial Explorer.
How to Connect to PostgreSQL
Get connected to your PostgreSQL database in under a minute.
Download for Your Platform
Get the desktop app for Mac, Windows, or Linux from our download page.
Add Your PostgreSQL Connection
Click New Connection, select PostgreSQL, and enter your host (e.g., localhost:5432), username, password, and database name.
Write and Execute Queries
Open New Query, write SQL with IntelliSense, and press Cmd+E (Mac) or Ctrl+E to execute. View EXPLAIN ANALYZE plans visually.
Frequently Asked Questions
Common questions about using Jam SQL Studio with PostgreSQL.
Does it support PostgreSQL extensions?
IntelliSense's function and type completions come from your connected server's live catalog (pg_proc / pg_type), not a hardcoded list — so custom functions and types installed by extensions like PostGIS, pg_trgm, or hstore show up automatically, with no separate configuration.
Is Jam SQL Studio free for PostgreSQL?
Yes. The free Personal tier includes unlimited PostgreSQL connections, IntelliSense, query execution, table explorer, basic charting, execution plans, and schema compare (free up to 200 objects), with no account required. Pro removes the schema compare cap and adds AI Workspace sync, multiple sessions, and a commercial-use license, available with a 14-day free trial.
What PostgreSQL versions are supported?
PostgreSQL 10 and later, through PostgreSQL 19 (beta) — including Amazon RDS, Azure Database for PostgreSQL, and self-hosted instances over standard SSL/TLS connections.
Choosing between PostgreSQL clients, or wondering how this compares to pgAdmin? See What is the best free PostgreSQL client for Mac?, Can Jam SQL Studio visualize PostgreSQL execution plans?, and Does Jam SQL Studio support PostgreSQL schema compare? on the full comparison page.
Working with JSON in PostgreSQL?
PostgreSQL has some of the most mature JSON support of any relational database — jsonb, GIN indexes, the SQL/JSON path language, and the standard JSON_TABLE / JSON_VALUE functions in PG 17.
PostGIS Data on a Map — and What's Next in PostgreSQL
PostGIS geometry / geography columns render on interactive maps with spatial filters that emit real ST_Intersects / ST_DWithin SQL — bbox and polygon filters reproject via ST_Transform/ST_SRID so they work regardless of the column's stored SRID. Jam SQL Studio also covers PostgreSQL 19 (beta) features and lists SQL/PGQ property graphs in the Object Explorer with GRAPH_TABLE query scaffolding.
Ready to Try Jam SQL Studio for PostgreSQL?
Download free and start working with your PostgreSQL databases on Mac, Windows, or Linux.
Explore Other Databases
Jam SQL Studio supports multiple database engines with the same powerful features.
Comparing PostgreSQL Tools?
See our detailed comparison of PostgreSQL GUI clients.
Jam SQL Studio