A working reference for relational and document database clients

Why GUI clients still matter in a CLI-first world

Production engineers will keep psql on the dock no matter how good the visual tools get. But the same engineers reach for a GUI client whenever they need to compare two schemas side by side, prototype a join across four tables, or hand a junior a query that doesn't require them to memorize \d+. That overlap — CLI for muscle memory, GUI for everything that benefits from seeing more than 24 rows at a time — is what this reference is about.

We cover eight clients that account for the majority of installs across the teams we work with: DBeaver, TablePlus, pgAdmin, Navicat, DbVisualizer, Beekeeper Studio, MongoDB Compass and JetBrains DataGrip.

Field of clients

The lineup splits cleanly into three groups by lineage and intent.

Multi-engine workbenches

Native, opinionated clients

Vendor-specific

Dialect & connection coverage

Coverage here means «can connect natively and provide a query workbench, not just dump rows». JDBC-based clients technically reach more engines via third-party drivers; we only count what they officially support.

Common workflows engineers want a GUI for

Listing every feature is a fast way to drown the reader. Instead, here are the five tasks that consistently pull people away from psql:

1. Schema exploration. Click around a foreign-key graph instead of memorising \d output.
2. Editing rows safely. An editable result grid with row-level transactions and visible diff before commit.
3. Saved queries with parameters. Snippets that prompt for inputs instead of forcing copy-paste.
4. Cross-environment diffing. Pointing at staging and prod to compare a single object.
5. Sharing query output. Exporting to CSV / clipboard / Markdown with appropriate quoting.

Schema diff and sync — three approaches

Schema diff is the feature that separates «query tool» from «database IDE». The three approaches we see in practice:

1. Object-by-object visual diff

DBeaver Enterprise, Navicat and DbVisualizer all offer a tree view: pick source and target connections, the tool walks every schema object and prints a side-by-side SQL diff with «apply to target» checkboxes. Best for ad-hoc reconciliation of environments that drifted.

2. Snapshot-based diff

DataGrip and modern Liquibase-style tooling snapshot a schema to a versioned file (XML/JSON), then diff against another snapshot. Wins when you want diffs as artefacts in PRs instead of one-shot dialog boxes.

3. Migration-script diffing

The Flyway / Sqitch model: each change is a numbered file, the «diff» is whatever you haven't applied yet. Not really a GUI workflow; mention it because most teams end up running it under the GUI for inspection.

Reading EXPLAIN output

The single biggest win from a paid client over psql is graphical EXPLAIN. EXPLAIN (ANALYZE, BUFFERS, FORMAT JSON) is dense; rendering it as a tree with timings and row counts per node makes the costly node obvious.

EXPLAIN (ANALYZE, BUFFERS, FORMAT JSON)
SELECT u.id, u.email, COUNT(o.id) AS orders
  FROM users u
  LEFT JOIN orders o ON o.user_id = u.id
 WHERE u.created_at > NOW() - INTERVAL '30 days'
 GROUP BY u.id, u.email
 ORDER BY orders DESC
 LIMIT 50;

DataGrip and DBeaver both render this as an indented tree with per-node bars; the widest bar is what you optimise first. Beekeeper Studio shows the raw text only, which is fine for small plans but unhelpful past three levels.

Document stores deserve their own client

MongoDB Compass is free and shipped by the vendor, and there's no real reason not to use it for serious aggregation work. The pipeline builder lets you stack $match, $lookup, $unwind, $group as visual blocks and exports the resulting pipeline as JavaScript ready for the driver. Compass is also the easiest way to introduce Mongo to engineers who only speak SQL — the SQL-to-aggregation translator ($sqlToAgg) covers most teaching examples.

Recommendations by job

• If you ship PostgreSQL day-in day-out: pgAdmin for canonical answers, TablePlus or DataGrip for daily work.
• If you bounce between four engines: DBeaver CE (free) or DataGrip (paid).
• If you care about visible ERDs and audit: DbVisualizer.
• If you live in MongoDB: Compass.
• If your team is half junior: Beekeeper Studio for the lowest UI surface area.