Marmot is an open-source data catalog designed for teams who want powerful data discovery without enterprise complexity. Catalog every data asset, enrich it with the context that matters and make it accessible to your team and your AI tools.
Hey everyone, I'm Charlie - I built Marmot because data catalogs solve a simple problem: what data do we have and where does it live? But most catalogs will then ask you to run Elasticsearch, Kafka and a graph database just to find out. Data catalogs shouldn't need an entire platform team to run them. Now your AI agents need to answer these same questions - without valid context, they hallucinate. Marmot gives them a single source of truth to query.
Marmot is a single binary and a Postgres database, deployable in minutes. It currently has:
I’m curious how easy it is for me to deploy and start using quickly without needing a dedicated data governance team. A quick-start guide or demo would really help me evaluate this faster.
I’ve been thinking a lot about how teams can bridge the gap between data and AI and this feels like a step in that direction. For me, the biggest challenge is not just finding data but trusting it.
About Marmot on Product Hunt
“AI-native data catalog with search, lineage and MCP”
Marmot launched on Product Hunt on April 7th, 2026 and earned 77 upvotes and 5 comments, placing #33 on the daily leaderboard. Marmot is an open-source data catalog designed for teams who want powerful data discovery without enterprise complexity. Catalog every data asset, enrich it with the context that matters and make it accessible to your team and your AI tools.
Marmot was featured in Artificial Intelligence (466.4k followers), GitHub (41.2k followers), Data & Analytics (5.5k followers) and Data (2.3k followers) on Product Hunt. Together, these topics include over 111k products, making this a competitive space to launch in.
Who hunted Marmot?
Marmot was hunted by Charlie Haley. 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.
Want to see how Marmot stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Charlie Haley
Hey everyone, I'm Charlie - I built Marmot because data catalogs solve a simple problem: what data do we have and where does it live? But most catalogs will then ask you to run Elasticsearch, Kafka and a graph database just to find out. Data catalogs shouldn't need an entire platform team to run them.
Now your AI agents need to answer these same questions - without valid context, they hallucinate. Marmot gives them a single source of truth to query.
Marmot is a single binary and a Postgres database, deployable in minutes. It currently has:
25+ plugins (and growing) including - dbt, Kafka, S3, Trino, Iceberg, PostgreSQL.
Full data lineage across your business
Built-in MCP server to give LLMs context around your data
100% free and open-source.
Try it: demo.marmotdata.io
Star us: github.com/marmotdata/marmot
Try it out and let me know what you think!