Database GUI Tools Compared: DBeaver, DataGrip, TablePlus, Beekeeper Studio, and pgAdmin
Database GUI Tools Compared: DBeaver, DataGrip, TablePlus, Beekeeper Studio, and pgAdmin
A database GUI can make exploration, debugging, and ad-hoc queries dramatically faster -- or it can be a bloated, sluggish distraction that's slower than typing SQL in a terminal. The right tool depends on what databases you work with, how much you're willing to pay, and whether you value speed or features. Here's an honest comparison of the five most popular options.
The Contenders
DBeaver
DBeaver is the Swiss Army knife. It connects to virtually any database through JDBC drivers -- PostgreSQL, MySQL, SQLite, Oracle, SQL Server, MongoDB, Redis, Cassandra, ClickHouse, and dozens more. The Community Edition is free and open source (Apache 2.0).
Setup example -- connecting to PostgreSQL:
Host: localhost
Port: 5432
Database: myapp
Username: dev
Password: dev
DBeaver stores connection profiles and supports SSH tunneling, SSL certificates, and connection pooling. You can export connection configurations as JSON for team sharing:
{
"connections": {
"postgres-local": {
"provider": "postgresql",
"driver": "postgres-jdbc",
"host": "localhost",
"port": "5432",
"database": "myapp",
"user": "dev",
"save-password": true,
"folder": "Local"
}
}
}
Strengths: Universal database support (50+ databases), ER diagram generation, visual query builder, data import/export to CSV/JSON/SQL, SQL auto-completion with schema awareness, and a dark theme. The Enterprise edition adds NoSQL support, schema comparison, and data transfer tools.
Weaknesses: It's Java. Startup takes 5-10 seconds, memory usage routinely exceeds 1GB, and the UI feels like an Eclipse plugin -- because it is one. The visual query builder generates odd SQL. SSH tunnel configuration is more confusing than it should be.
Best for: Teams working with multiple database types who need one tool that handles everything.
DataGrip
DataGrip is JetBrains' dedicated database IDE. If you already use IntelliJ IDEA, PyCharm, or WebStorm, the database tools in those IDEs are a subset of DataGrip's capabilities.
Connection configuration via DataGrip's UI is straightforward, but you can also use JDBC URL strings:
jdbc:postgresql://localhost:5432/myapp?user=dev&password=dev&ssl=false
Strengths: Best-in-class SQL auto-completion. DataGrip actually understands SQL semantics -- it can resolve column types across joins, warn you about syntax errors before execution, and suggest optimizations. The query console supports multiple cursors, find-and-replace with regex, and context-aware formatting. Schema diff and migration script generation are built in.
Weaknesses: $99/year for individuals ($229/year for organizations). No free tier -- just a 30-day trial. It's also Java-based, so memory usage is high. Overkill if you just need to browse tables and run simple queries.
Best for: Developers who write complex SQL daily and whose employer pays for JetBrains licenses.
TablePlus
TablePlus is a native database client for macOS, Windows, and Linux. "Native" is the operative word -- it uses platform UI frameworks, so it starts instantly and feels fast.
# You can also connect via URL
open "tableplus://?driver=postgres&host=localhost&port=5432&name=myapp&user=dev&pass=dev"
Strengths: Snappy UI. Inline editing with a staging area -- you modify cells, see a diff, then commit all changes at once (like a mini-transaction). Tabs, filters, and sorting are intuitive. SSH tunneling works reliably. Supports PostgreSQL, MySQL, SQLite, Redis, MongoDB, SQL Server, Cassandra, and CockroachDB.
Weaknesses: The free version limits you to 2 tabs, 2 filters, and 2 open databases. The paid license is $99 one-time (per device). Linux support exists but is less polished -- occasional rendering glitches and slower updates. No ER diagrams.
Best for: macOS developers who value speed and a clean interface.
Beekeeper Studio
Beekeeper Studio is an open-source, Electron-based database client with a modern UI. The Community Edition is free and genuinely usable -- not a crippled trial.
# Install on Linux via Snap
sudo snap install beekeeper-studio
# Or via Flatpak
flatpak install flathub io.beekeeperstudio.Studio
Strengths: Clean, uncluttered interface -- easier to learn than DBeaver. Query history and saved queries. Table data filtering with a visual builder. Dark mode by default. Free Community Edition covers most developer needs. Supports PostgreSQL, MySQL, MariaDB, SQLite, SQL Server, CockroachDB, and LibSQL.
Weaknesses: Electron means higher memory usage than TablePlus (though less than DBeaver). Fewer databases supported -- no MongoDB, Redis, or Oracle. No ER diagrams in the Community Edition. The paid Ultimate edition ($7/month) adds import/export, schema editing, and binary data support.
Best for: Developers who want a free, attractive GUI without DBeaver's complexity.
pgAdmin
pgAdmin is the official PostgreSQL administration tool. It runs as a local web application in your browser.
# Docker is the cleanest way to run it
docker run -p 5050:80 \
-e [email protected] \
-e PGADMIN_DEFAULT_PASSWORD=admin \
dpage/pgadmin4
Strengths: Deep PostgreSQL integration. Full administrative capabilities: roles, tablespaces, extensions, replication monitoring, vacuum analysis. The query tool has built-in EXPLAIN visualization with graphical execution plans. Free and open source.
Weaknesses: Web-based UI feels sluggish -- page transitions, loading spinners, and a general sense of latency that native apps don't have. The interface is cluttered with admin options that developers rarely need. Useless for non-PostgreSQL databases.
Best for: PostgreSQL DBAs who need administrative capabilities beyond simple queries.
Feature Comparison
| Feature | DBeaver CE | DataGrip | TablePlus | Beekeeper CE | pgAdmin |
|---|---|---|---|---|---|
| Price | Free | $99/yr | $99 one-time | Free | Free |
| Databases | 50+ | 20+ | 12+ | 8 | PostgreSQL only |
| Platform | All | All | All | All | Web |
| Startup speed | Slow | Slow | Fast | Moderate | Moderate |
| Memory usage | High (1GB+) | High (800MB+) | Low (200MB) | Moderate (400MB) | Low |
| SQL completion | Good | Excellent | Basic | Basic | Good |
| ER diagrams | Yes | Yes | No | Paid only | Yes |
| Inline editing | Yes | Yes | Yes (staged) | Yes | Yes |
| SSH tunneling | Yes | Yes | Yes | Yes | Yes |
| Dark mode | Yes | Yes | Yes | Yes | No |
| Export formats | Many | Many | CSV/JSON/SQL | Paid only | CSV/SQL |
When CLI Is Better Than GUI
GUI tools are not always the right answer. Here are situations where a CLI client wins:
Remote servers over SSH: If you're connected to a production server via SSH, launching pgcli or mycli is instant. No port forwarding, no SSH tunnels to configure, no waiting for a heavy app to connect through a proxy.
ssh prod-server -t 'pgcli -d myapp'
Scripted operations: Bulk updates, data migrations, and automated backups are shell scripts. A GUI adds nothing here.
psql -h localhost -U dev -d myapp -c "UPDATE users SET active = false WHERE last_login < NOW() - INTERVAL '1 year';"
Quick checks in development: Need to verify a migration ran? Check a row count? A terminal you already have open is faster than switching to another application.
pgcli -h localhost -U dev -d myapp
> SELECT count(*) FROM users;
Large result sets: CLI tools handle millions of rows with pagination. Some GUI tools choke or freeze on large result sets.
CI/CD and automation: Your deployment pipeline should never depend on a GUI.
The sweet spot: use a GUI for exploration, schema visualization, and ad-hoc queries where you're browsing data. Use CLI for scripted operations, quick checks, and anything on remote servers. Most experienced developers keep both open.
Connection Management Tips
Whichever tool you choose, manage connections consistently:
Use environment variables for connection strings so they're the same across CLI and GUI:
# .env
DATABASE_URL=postgresql://dev:dev@localhost:5432/myapp
Group connections by environment (local, staging, production). Color-code production connections in red if your tool supports it -- DBeaver, DataGrip, and TablePlus all do. This prevents the classic "I ran DROP TABLE on production" mistake.
Use read-only connections for production. Create a separate database user with SELECT-only permissions and use that for your production GUI connection:
CREATE ROLE readonly_user WITH LOGIN PASSWORD 'readonly';
GRANT CONNECT ON DATABASE myapp TO readonly_user;
GRANT USAGE ON SCHEMA public TO readonly_user;
GRANT SELECT ON ALL TABLES IN SCHEMA public TO readonly_user;
Recommendations
- Budget-conscious, multiple databases: DBeaver Community Edition. Accept the Java tax.
- macOS developer, will pay: TablePlus. The speed and polish are worth $99.
- Free and good-looking: Beekeeper Studio Community Edition. Covers most needs without visual clutter.
- Heavy SQL work, employer pays: DataGrip. The SQL intelligence is unmatched.
- PostgreSQL admin: pgAdmin for administrative tasks, plus one of the above for development queries.
- Everyone: Install pgcli/mycli alongside your GUI. Use CLI for quick checks, GUI for exploration.