This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Pilotbase
Universal database GUI for SQL, NoSQL, and vector DBs
• One web UI for 19+ database types: PostgreSQL, MySQL, MongoDB, Redis, Qdrant, ChromaDB, Weaviate, and more • Self-host with dockerfile, fully open source (MIT license) — zero vendor lock-in • Built-in AI agent (LangGraph + ReAct) that queries databases in plain English • Works with local Ollama or any OpenAI-compatible LLM • Docker Compose setup in 3 minutes • AI Agent re-uses the connection that is already present in Pilotbase to do SELECT queries on databases when required by user.
How does the AI agent handle schema introspection across the 19+ database types, especially something like Redis or vector stores like Qdrant where the "schema" looks pretty different from a traditional relational DB?
About Pilotbase on Product Hunt
“Universal database GUI for SQL, NoSQL, and vector DBs”
Pilotbase was submitted on Product Hunt and earned 3 upvotes and 5 comments, placing #156 on the daily leaderboard. • One web UI for 19+ database types: PostgreSQL, MySQL, MongoDB, Redis, Qdrant, ChromaDB, Weaviate, and more • Self-host with dockerfile, fully open source (MIT license) — zero vendor lock-in • Built-in AI agent (LangGraph + ReAct) that queries databases in plain English • Works with local Ollama or any OpenAI-compatible LLM • Docker Compose setup in 3 minutes • AI Agent re-uses the connection that is already present in Pilotbase to do SELECT queries on databases when required by user.
On the analytics side, Pilotbase competes within Productivity, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Pilotbase performed against the three products that launched closest to it on the same day.
Who hunted Pilotbase?
Pilotbase was hunted by Harish Palaniappan. 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 Pilotbase including community comment highlights and product details, visit the product overview.
How does the AI agent handle schema introspection across the 19+ database types, especially something like Redis or vector stores like Qdrant where the "schema" looks pretty different from a traditional relational DB?