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Recern Workspace
One workspace for SQL, NoSQL and vector databases
Explore database activity, queries, indexes and vector search in one desktop app, with Safe Mode for production. Supports PostgreSQL, MongoDB, ClickHouse, Redis, Qdrant and more. Available for macOS, Windows and Linux.A desktop workspace for PostgreSQL, MySQL, MongoDB, ClickHouse, Cassandra, Qdrant, SQLite, Redis, Valkey, Dragonfly and Recern Vector: activity, queries, indexes and findings, with Safe Mode for production.
Hi Product Hunt! I’m the maker of Recern Workspace.
I wanted one place to understand what’s happening across different databases: which queries are expensive, where activity is getting blocked, how indexes behave, and how vector search balances accuracy and speed.
Recern started with PostgreSQL and Redis and grew to include document, analytical, and vector databases. That shaped the approach: a familiar interface, with views tailored to how each engine works.
Today, Recern Workspace supports PostgreSQL, MySQL, MongoDB, ClickHouse, Cassandra, Qdrant, SQLite, Recern Vector, Redis, Valkey, and Dragonfly.
You can explore database activity, investigate queries, inspect indexes, and work with vector search, with Safe Mode for production connections. It runs on macOS, Windows, and Linux.
The short demo shows three workflows: investigating PostgreSQL queries, comparing recall and latency in Recern Vector, and running filtered vector searches in Qdrant.
This is the beginning of Recern’s public launch. I’m looking forward to learning which workflows people find useful and where the experience needs more work.
If you try it, I’d love to hear: what’s one database task you wish your current tools made easier?
Thanks for taking a look. I’m here to answer questions and hear your feedback!
About Recern Workspace on Product Hunt
“One workspace for SQL, NoSQL and vector databases”
Recern Workspace was submitted on Product Hunt and earned 8 upvotes and 3 comments, placing #152 on the daily leaderboard. Explore database activity, queries, indexes and vector search in one desktop app, with Safe Mode for production. Supports PostgreSQL, MongoDB, ClickHouse, Redis, Qdrant and more. Available for macOS, Windows and Linux.A desktop workspace for PostgreSQL, MySQL, MongoDB, ClickHouse, Cassandra, Qdrant, SQLite, Redis, Valkey, Dragonfly and Recern Vector: activity, queries, indexes and findings, with Safe Mode for production.
On the analytics side, Recern Workspace competes within Data & Analytics and Database — topics that collectively have 8.2k followers on Product Hunt. The dashboard above tracks how Recern Workspace performed against the three products that launched closest to it on the same day.
Who hunted Recern Workspace?
Recern Workspace was hunted by Umid. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Recern Workspace including community comment highlights and product details, visit the product overview.
Umid