QueryFlow is a pure Swift SQL editor with Claude AI, Python notebooks, scheduled jobs, and visual ETL. No JVM. No Electron. The Mac App Store alternative to DBeaver for developers and data engineers.
If you live on macOS and you have ever waited for DBeaver to launch on Apple Silicon, you already know the problem. DBeaver is excellent software, but it is fundamentally a Java application running on top of Eclipse — and that shows on a Mac. QueryFlow is what DBeaver would be if it had been built on Apple's modern frameworks from day one.
DBeaver Community is free and powerful. DBeaver Enterprise adds NoSQL support, deeper integrations, and team features for $289 per year. Neither version is a native Mac app. The Java runtime adds startup delay, the Eclipse-based UI does not match the macOS design language, and trackpad gestures, system menus, and the menubar feel foreign because they are. For a developer who spends eight hours a day in their SQL client, those small frictions compound into hours of lost focus every week.
QueryFlow is built in pure Swift and SwiftUI. There is no JVM. There is no Electron. Launch time is under a second. Memory usage is a fraction of DBeaver's. The toolbars, sidebars, and dialogs use macOS Liquid Glass surfaces. The trackpad gestures work. The system clipboard works. The menubar makes sense. Everything feels native because everything is native.
Beyond the runtime difference, QueryFlow includes capabilities DBeaver does not — even in its Enterprise tier.
| Feature | DBeaver Enterprise | QueryFlow |
|---|---|---|
| Native macOS runtime | Java/Eclipse | Pure Swift/SwiftUI |
| Startup time | 5–15 seconds | Under 1 second |
| Schema-aware AI | — | Claude built in |
| Python notebooks | — | Flow Books |
| Visual ETL | — | AI Map field matcher |
| Scheduled jobs | — | Local cron + interval |
| Output to S3 / SFTP / Sheets | — | 9 destinations |
| Annual price | $289 | $299.99 |
DBeaver does not include AI assistance. QueryFlow has Claude AI integrated into the editor. Claude knows your database schema, your recent query results, and your recent errors — automatically. Ask Claude to write a query against your customers table and it writes valid SQL using your actual column names. Ask why a query is slow and Claude reads the execution plan and explains it. This is not a chatbot bolted onto the side of an IDE. It is context-aware AI built into the workflow.
DBeaver is a SQL client. If you do data work seriously, you probably also use a Python notebook (Jupyter or VS Code), a job scheduler (cron, Airflow, or a cloud orchestrator), and some kind of data delivery script. QueryFlow combines all four into one app. You write SQL in the editor, transform results in a Flow Book, schedule the whole thing to run daily, and deliver the output to a database, S3, or email. One window, one tool, one bill.
QueryFlow is available on the Mac App Store with a 14-day free trial. No credit card required to start. If you spend most of your day in DBeaver on a Mac, give QueryFlow an hour — by lunchtime you will know if it is worth $299.99 a year to never wait for the JVM again.
DBeaver is built on Eclipse RCP and the Java Virtual Machine. On macOS, especially Apple Silicon, this introduces noticeable startup delay, higher memory usage, and a UI that does not respect native macOS conventions like trackpad gestures, system menus, or Liquid Glass surfaces. QueryFlow is written in pure Swift and SwiftUI — it launches in under a second and uses a fraction of the memory.
QueryFlow connects to Snowflake, Amazon Redshift, PostgreSQL, MySQL, Google Sheets, Salesforce, and CSV/TSV files. DBeaver supports more databases out of the box, but for the most common modern data stack — cloud warehouses, transactional databases, and CRMs — QueryFlow covers the majority of real-world needs and adds writeback to nine destinations.
Not directly today. QueryFlow connections are configured in-app and credentials are stored in the macOS Keychain. Most users find that re-adding their three to five active connections takes under a minute per connection. We may add a DBeaver import path in a future release based on user demand on our Discord.
Yes. DBeaver Enterprise is $289 per year and does not include AI assistance, Python notebooks, scheduling, or visual ETL. QueryFlow at $299.99 per year includes all of those plus schema-aware Claude AI, Flow Books, the Visual ETL pipeline builder, scheduled jobs that run locally, and the Observatory monitoring dashboard. For the same price point, QueryFlow replaces multiple tools.
QueryFlow is built for analysts, data engineers, and developers who write SQL. The schema-aware Claude AI lowers the barrier to writing complex queries — you can describe what you want in plain English and Claude writes the SQL. If you are completely new to SQL, you will still need to understand the basics, but the AI dramatically accelerates the learning curve.
14-day free trial. No credit card. Spend an afternoon — see if a native Swift SQL editor changes how you work.