Collaborative SQL Editor for Teams
Stop pasting SQL in Slack. SaturnSQL is a browser-based SQL editor built for teams who live in SQL — a collaborative SQL workspace where queries are written, reviewed, scheduled, and reused together, with context preserved and knowledge shared by default.
Most SQL collaboration is chaos. Queries live in DMs, random snippets float around in docs, and there's no shared history of what anyone has tried. When someone asks “do we have a query for X?” the answer is usually “maybe, check with Sarah” or “I think I sent that in Slack three weeks ago.” Teams keep solving the same problems over and over, and the reasoning behind a number is gone by the time anyone questions it.
A shared SQL workspace, not another desktop client
Desktop clients solve the solo half of the problem: a good editor, connected to a database, on one laptop. The team half — where queries live, who can run them, what they returned last week — is what a shared workspace adds. SaturnSQL runs in the browser, so there is nothing to install and no per-person driver setup, and the whole team queries through one shared database connection with role-based access instead of everyone holding raw credentials.
| What's in the workspace | How it works |
|---|---|
| Shared query library | Saved queries organized in folders. Private by default, shared to the whole workspace with one toggle. |
| Version history | Every save is a version, with diffs between any two, so "what changed and who changed it" has an answer. |
| Save-conflict protection | If a query changed since you opened it, you get a conflict banner instead of silently overwriting a teammate’s edit. |
| Query descriptions | Notes stay attached to the SQL itself, so the reasoning behind a query doesn’t get lost in chat history. |
| Share a link | Send the query and its results as one link — no copy/paste drift between what ran and what got pasted. |
| Reports & dashboards | Every saved query has a report page with filters and export; dashboards gather several onto one page. |
| Viewer role | Teammates who shouldn’t write SQL get reports and nothing else. |
| Scheduling | Any saved query can run on a schedule and deliver to Google Sheets or Slack. |
| AI SQL assistant | Schema-aware help for writing and fixing queries, for beginners and power users alike. |
| Schema explorer | Table structures with sample data previews, so you understand the schema without exploratory queries. |
How teams use it
The most common pattern is teams building a library of canonical queries — the metrics that matter, written correctly once and reused everywhere. Instead of five people writing slightly different versions of “monthly active users” or “revenue by product line,” you have one authoritative version that everyone references. New team members browse this library on day one and immediately understand how the team thinks about the data.
Ad-hoc exploration gets easier too. When you're investigating a question — why did signups drop last Tuesday? what's the conversion rate for that campaign? — you work in SaturnSQL instead of a local client. The investigation is automatically preserved, so if someone asks “what did you find?” you share a link instead of reconstructing your work. If the question comes up again in six months, the query is still there.
For teams that review each other's SQL — formally or just asking a colleague for a sanity check — version history with diffs shows exactly what changed between drafts, and descriptions keep the intent next to the code. When the query graduates from investigation to routine, put it on a schedule and the numbers arrive in Sheets or Slack without anyone running anything.
How it compares for team collaboration
| SaturnSQL | PopSQL | Hex | Desktop clients | |
|---|---|---|---|---|
| Runs in the browser, no install | ✓ | ✓ | ✓ | — |
| SQL editor first (not a notebook or BI layer) | ✓ | ✓ | — | ✓ |
| Shared team query library | ✓ | ✓ | — | — |
| Scheduled exports to Google Sheets & Slack | ✓ | ✓ | — | — |
| Reports for non-SQL stakeholders | ✓ | ✓ | ✓ | — |
| Actively developed | ✓ | — | ✓ | ✓ |
Hex is a notebook platform — SQL lives in cells inside projects, and scheduled runs are gated to its paid Team plan. PopSQL remains in limited support with no new features planned. “Desktop clients” covers tools like DBeaver and DataGrip: excellent solo editors with no shared team layer.
What about real-time editing?
Honest answer: SaturnSQL does not do Google Docs–style multi-cursor editing. What it does instead is keep everyone's view consistent — open queries refresh when you load or focus a tab and on a background poll — and protect against the actual failure mode of shared SQL: two people saving over each other. If the query changed since you opened it, you get a conflict banner and a chance to reconcile, not a silent overwrite. Combined with version history, that covers what teams practically need from “editing together” without turning a production query into a live scratchpad.
Common questions
Is this a BI tool? No — SaturnSQL is a code-first SQL workspace. We focus on the SQL itself, with lightweight reports and dashboards for stakeholders. Think of it as the layer before your BI tool, where queries get written, tested, and refined before they power downstream reports.
What databases are supported? PostgreSQL, MySQL/MariaDB, Microsoft SQL Server, Oracle, Amazon Redshift, ClickHouse, Google BigQuery, and Amazon DynamoDB. Snowflake is not supported yet.
Can SaturnSQL replace PopSQL? Yes. SaturnSQL offers the same core team features — shared query library, browser-based editor, and team-based database access — plus scheduling, Google Sheets and Slack export, and AI-powered SQL assistance. PopSQL's shutdown is postponed, but it stays in limited support. See our migration guide to switch.
Ready to organize your team's SQL workflow?
