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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Welcome to the incremental compute era

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.

Portrait of Alex Bewley

Alex Bewley

Director, Engineering - VMware

From 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

Sub-second time-to-insight

No full-recomputations. Compute only on deltas, even at terabyte-scale.

Bring your existing SQL

Bring your existing SQL

Arbitrarily complex SQL including recursion with deeply nested views.

Unparalleled efficiency

Unparalleled efficiency

Process millions of changes per second on a laptop, with up to 95% cloud cost savings.

Choose your adventure

Recurring batch jobs

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.

Turn your Spark SQL into live pipelines
Recursive queries and graph analytics

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.

Run recursive graph queries instantly

Fully automatic. Always consistent. Built for change.

Fully automatic. Always consistent. Built for change.

Ready to eliminate wasteful recomputation?

Book a demo

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