Fabra helps B2B SaaS companies ingest data from their users into their application. We save engineering teams months of development time by integrating with every source and automatically cleaning/transforming data to match their expected model.
Hi Product Hunt! I'm Nick, one of the co-founders of Fabra. We help B2B SaaS companies add data warehouse and database integrations to their product, so they can unlock more sales.
Modern SaaS applications no longer operate in a silo. Customers expect their tools to seamlessly pull in their product usage events, user profile information, and more, which they've collected and stored in a data warehouse. But building these integrations is not trivial. Beyond the sheer number of data sources that exist, the flexible nature of data warehouse technology means that every organization structures their data differently. Cole and I have both spent countless hours cleaning and importing external data, and that's what led us to build Fabra.
Fabra makes it possible to integrate once and immediately support all of the data warehouses and databases in our catalog. We're constantly adding to the list of sources we integrate with so that you don't have to, including BigQuery, Snowflake, MongoDB, and Redshift. With Fabra, your customers will be able to connect their data source and start syncing data entirely on their own. They'll be able to use our suite of self-serve data validation and transformation tools so that regardless of what their data looks like at the source, it arrives at your destination in exactly the same schema across all of your customers.
We’re excited to keep building out the platform and we're always eager to hear your feedback. If you have any thoughts or questions, drop us a comment below!
Congrats on the launch @nfiacco, still can’t believe that this did not exist before as connecting to customers‘ databases and datawarehouses is tedious without Fabra
Congrats on the launch - I can’t understate how much of a armory this is for product teams:
1. It eases instrumenting and the engineering work required for each new DB or tool introduced
2. Helps action the quick decision making that product teams want to get on (pace of decision making drives pace of iterations)
Coaster
Langfuse
Coaster
Coaster