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.

Loading...

Trusted by leading engineering teams

We broke a 50-year old barrier in database research

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.

    Loading...

    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

    Sub-second time-to-insight

    Sub-second time-to-insight

    Bring your existing SQL

    Bring your existing SQL

    Unparalleled efficiency

    Unparalleled efficiency

    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

    Built to enable modern products

    What teams actually build when data updates in milliseconds instead of hours.

    Knowledge graphs for AIKnowledge graphs for AI

    Knowledge graphs for AI

    AI products need structured context that's always current, not hours stale. Feldera maintains your knowledge graph and views over it incrementally—when underlying data changes, only the affected nodes and edges update, in milliseconds. Your AI always queries a graph that reflects reality right now.

    Real-time data pipelines

    Real-time data pipelines

    Most data pipelines recompute everything on every run, even though less than 0.1% of the data changed. Feldera runs your existing SQL incrementally, with no orchestration code and no scheduled batch jobs. What used to take a 70-node cluster now runs on 2 nodes.

    Fully automatic. Always consistent. Built for change.

    Fully automatic. Always consistent. Built for change.

    Ready to eliminate wasteful recomputation?

    Book a demo

    Join the community and ask our experts anything