SaturnSQL

SaturnSQL is a collaborative SQL editor for data teams. It's the place where a team writes its queries, saves the ones worth keeping, schedules the ones that have to run every day, and sends the results to the people who asked for them, in Google Sheets, Slack, or email. It was built when PopSQL and SeekWell announced they were shutting down, and the site carries migration guides for both, so the audience it has in mind is teams who had a shared query tool and suddenly needed a new one.

The gap it fills sits between a database client and a full BI platform. A desktop client is fine for one analyst, but the queries live on that person's laptop, nobody else can find them, and every recurring report means someone remembering to run it and paste the numbers into a sheet. A BI tool solves that at the cost of a modelling layer and a licence most small teams don't need. SaturnSQL sits in the middle. Queries are written in plain SQL, stored in a shared library, and run on a schedule with the output delivered automatically. The migration guides matter here, because the teams it's courting had already organised their reporting around a shared query library and don't want to rebuild it from scratch.

Getting started means creating an account with email or Google and connecting a database from the settings page with host, port, database name, and credentials, with SSL supported on the connection. It talks to PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, Redshift, ClickHouse, BigQuery, and DynamoDB, with Snowflake added on the Pro tier. The editor has schema-aware autocomplete and a schema explorer, and results appear under the query. Saved queries take a descriptive name so teammates can find them, and inviting people to the workspace turns that collection into a shared knowledge base. Connections are shared through the workspace as well, so credentials don't get pasted around in chat. There's a web editor plus desktop apps for macOS and Linux.

Scheduling is where it earns its keep. A saved query can run hourly, daily, weekly, or monthly, and from the Starter plan up the schedule goes down to the minute. Results land in Google Sheets, Slack, or an inbox, and there are several export formats for one-off pulls. Because the schedule hangs off the saved query, editing the SQL changes what everyone receives on the next run, and query version history on the Pro tier keeps the earlier revisions. Pro also adds an AI assistant inside the editor that drafts, explains, and optimises queries, plus an API with webhooks. That API is how the product hooks into AI coding agents, with Claude Code, Codex, and Cursor named in the getting started guide.

It fits data teams, analysts, and the business users who depend on them. Business users don't need to write SQL themselves to get value; a scheduled query someone else wrote lands in their sheet or channel on time. If your reporting today is a folder of .sql files and a calendar reminder, or if you're one of the teams that lost PopSQL or SeekWell, that's the seat it's built for. It's a hosted product rather than open source, so teams that need to self-host will want to look elsewhere, and it has a public listing on G2 for anyone who wants third-party opinions before trying it.

Where it differs from a general database client is that the unit of work is the team's query, not the session. Everything downstream, the schedule, the delivery, the history, the sharing, hangs off that saved object, which is the model PopSQL users will recognise. Where it differs from a BI suite is scope. There's no semantic layer or dashboard builder to maintain; the output is a table that lands in a sheet, a channel, or an inbox, which is what most recurring requests actually need. The AI assistant follows the same logic. It works on the query in front of you rather than trying to replace the analyst, and it's gated to the Pro tier while it's in beta.

Access is freemium. The Free plan costs nothing and allows one database connection and one saved query, enough to try the editor. Starter is 19 euros per user per month with multiple connections, unlimited saved queries, and scheduling. Pro (AI) is 29 euros per user per month, in limited beta, with the AI editor at roughly two million tokens a month, version history, Snowflake, and the API. Enterprise is custom, also in limited beta, and adds SSO and SAML, collaborative editing, and dedicated support. Support is standard on Free and Starter and priority on Pro. Paid plans come with a 14-day trial and no credit card, annual billing isn't offered yet, and there's no published contact email; support runs through the help pages.