The compute foundation built for the speed and scale of agents
Feldera’s award-winning incremental compute engine runs SQL pipelines of any complexity, keeping compute costs and latencies flat even as you scale 1000x with agents.
Trusted by leading engineering teams
Why enterprises use Feldera for their largest, most complex data workloads
- Freshness from hours/days to seconds
- Slash your warehouse bill by 10x and more
- Ship real-time capabilities in minutes, not months
- Engineers focus on business needs, not frankenstein pipeline building
How is Feldera so fast?
We broke a 50-year barrier in database research. Using award-winning math, we can maintain any SQL program over changing data. Think 30K line SQL pipelines, with hundreds of views over hundreds of tables, thousands of joins, recursive queries, aggregates, and more. When input tables change, Feldera incrementally updates all views in time and compute proportional to the size of the change, not the size of all the data. Your pipelines now update in milliseconds instead of hours.
Use Case
Feldera replaces scheduled batch jobs with always-on incremental pipelines, no matter how complex the SQL. Deploy us in your lakehouse and watch your gold layer update in seconds and always current, using 10x less compute than your Spark clusters.
Use Case
Catch fraud before the transaction clears. Feldera offers perfect offline-online parity no matter how complex the SQL, so you can go from training to real-time inference in days with zero feature skew. Keep thousands of complex queries fresh over live data, with enrichment, rolling aggregates, and more.
Use Case
Every authorization request means an expensive traversal of a massive, constantly changing object graph. Feldera can incrementally evaluate recursive SQL queries on graphs too, so you can precompute every decision and update only what’s affected when the graph changes.