The World's First Fully Incremental Compute Engine
By automatically computing only on data that's changed, teams build AI-era products that were impossible before. With millisecond insights. At 10x less cost.
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Why is Feldera so fast?
Because we don’t recompute. Ever.
We broke a 50-year barrier in database research. Using award-winning math, we can maintain *any* SQL query over changing data. Instead of reprocessing your entire data warehouse every time something updates, Feldera computes only what changes. Queries that took hours now update in milliseconds. Your team can bring their existing SQL without rewriting a single query.
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VMware Skyline used the Feldera team's technology to digest terabytes of streaming data and execute thousands of complex rules instantaneously. We reduced our end-to-end recommendation notification time from twenty-four hours to minutes.
Alex Bewley
Director, Engineering - VMwareFrom batch to incremental analytics
Feldera incrementally maintains even the most complex batch SQL pipelines as new data arrives. Bring your warehouse SQL, as is, no rewrites required.
Sub-second time-to-insight
No full-recomputations. Compute only on deltas, even at terabyte-scale.
Bring your existing SQL
Arbitrarily complex SQL including recursion with deeply nested views.
Unparalleled efficiency
Process millions of changes per second on a laptop, with up to 95% cloud cost savings.
Choose your adventure
Recurring batch jobs
Teams take monster SQL jobs from Spark and Snowflake to run them fully incrementally in Feldera. We’re talking single pipelines with 500+ joins, unions, and aggregates updating in under a second, eliminating data engineering drag and slashing cloud costs.
Recursive queries and graph analytics
Feldera incrementally evaluates even the most complex recursive SQL as your graph evolves. It is used by security and observability teams building powerful dynamic authorization engines, real-time network-graph analytics, and always-fresh observability dashboards.
Fully automatic. Always consistent. Built for change.
Ready to eliminate wasteful recomputation?
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