Ask a PostgreSQL developer what is on their dock and you will usually find a database client: TablePlus if they like it fast and native, pgAdmin because it is the official one, DBeaver because it connects to everything. These are genuinely good tools — we built SQL Studio's editing model on habits they taught the whole industry.
But for a managed database, the desktop-client routine deserves a second look. You install software on every machine you work from, copy connection credentials out of the dashboard and into local keychains, and — for the polished commercial options — pay a per-seat license. All of that to look at a database that already lives behind a dashboard you are logged into.
Every managed PostgreSQL database on DanubeData now includes SQL Studio, a data studio that runs in the dashboard itself. Here is an honest comparison.
Where the browser wins
- Zero setup. There is nothing to install or update. Open the instance, click SQL Studio, work. A teammate's locked-down laptop or a tablet works exactly as well as your dev machine.
- Credentials never leave the platform. Desktop clients need your host, user and password stored locally. Studio's queries run through an isolated agent inside your own tenant environment — the credentials are never copied to a laptop and never even reach the browser.
- The same staged editing model. Like a good desktop client, Studio stages cell edits, new rows and deletions locally, then commits them in one atomic transaction — with explicit Set NULL / Set DEFAULT and composite-key support.
- Safety rails by default. Sessions start read-only; writes are an explicit toggle; dropping a table requires typing its name; every write lands in the instance's audit log automatically — something a local client cannot give your team.
- Schema visibility included. Live ER diagram, a visual create-table builder, right-click table operations, and a browser for functions, triggers, views, roles, extensions and RLS policies.
- Free. Studio is included with every managed PostgreSQL plan. No per-seat license to multiply across the team.
Where a desktop client still wins
Fairness matters more than marketing, so:
- Databases outside DanubeData. Studio works with DanubeData managed PostgreSQL only. If you also connect to a database on your laptop, a client's server, or another provider — or to MySQL and MariaDB instances — you still want a universal client. DBeaver's connect-to-anything breadth is unbeatable there.
- Deep specialist tooling. pgAdmin's visual EXPLAIN plans, server-level administration panels, and DBeaver's data-transfer wizards go deeper than Studio aims to. Studio covers the everyday 95%, not every power feature.
- Multi-statement scripts in one run. Studio's SQL editor executes one statement per run (bulk row changes go through the staged table editor or CSV import instead). For long migration scripts,
psqlor a desktop client remains the right tool.
Side by side
| Dimension | Desktop client (TablePlus / pgAdmin / DBeaver) | SQL Studio (built in) |
|---|---|---|
| Setup | Install + update on every machine | None — opens in the dashboard |
| Credentials | Copied to each laptop | Never leave the platform |
| Staged, transactional row editing | Yes (varies by tool) | Yes — atomic commit / discard |
| Team audit trail of writes | No — local sessions | Built in, per instance |
| Databases supported | Many providers and engines | DanubeData managed PostgreSQL only |
| Long multi-statement scripts | Yes | One statement per run |
| Price | Free to ~€80+ per seat for commercial tools | Included with managed PostgreSQL |
The takeaway
It is not either/or. Keep a desktop client around for the occasional deep-dive and for databases that live elsewhere. But for the daily work on a managed PostgreSQL database — check a row, fix a value, add a table, eyeball the schema, hand a teammate safe access without handing them credentials — the tool that is already open in your dashboard now does the job, with better guardrails and a complete audit trail.
👉 See what is included on the SQL Studio page, read the docs, or deploy a managed PostgreSQL database and open Studio from the instance page.
