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RaisDB
The database client for the AI era
A database client built for the AI era. Connect 40+ engines from one app — PostgreSQL, Sqlite, MySQL, Redis, MongoDB, ClickHouse, plus vector databases like Qdrant, Chroma, Milvus,Weaviate, and Pinecone. The native AI Agent reads your schema and writes SQL for you. Built-in MCP server lets AI coding agents — Claude Code, Cursor, Codex and more — read and operate on your databases directly. Rust core. Local-first.
Hi Product Hunt! 👋 Chris here, solo developer of RaisDB.
I built RaisDB because I was tired of juggling pgAdmin + RedisInsight + Compass + DataGrip every day — and none of them could talk to my vector database or let an AI agent write queries for me.
**What makes RaisDB different:**
1. 🤖 Native AI Agent — describe what you want in English, it reads your schema and writes + runs the SQL
2. 🔌 MCP server — let Claude Code / Cursor query your databases directly through RaisDB
3. ⚡ Rust core — <10ms typical query response, sub-1s cold start
4. 🔒 Local-first — credentials encrypted on your machine, queries never touch our servers
5. 🧰 Built-in SSH terminal + developer toolbox — SSH into your servers without leaving the app, plus UUID generator, hash calculator, timestamp converter, regex tester, password generator, encoding converter, and more. The little things you Google 10 times a day, now one click away.
I'm here all day — ask me anything, especially the hard technical questions. 🙏
About RaisDB on Product Hunt
“The database client for the AI era”
RaisDB was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #92 on the daily leaderboard. A database client built for the AI era. Connect 40+ engines from one app — PostgreSQL, Sqlite, MySQL, Redis, MongoDB, ClickHouse, plus vector databases like Qdrant, Chroma, Milvus,Weaviate, and Pinecone. The native AI Agent reads your schema and writes SQL for you. Built-in MCP server lets AI coding agents — Claude Code, Cursor, Codex and more — read and operate on your databases directly. Rust core. Local-first.
On the analytics side, RaisDB competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how RaisDB performed against the three products that launched closest to it on the same day.
Who hunted RaisDB?
RaisDB was hunted by qin. 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 RaisDB including community comment highlights and product details, visit the product overview.
qin