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.

VLDB ‘23 Best Paper, Soc2 Type 2 Compliant, Formally Verified

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Trusted by leading engineering teams

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Feldera’s IVM engine is best in class - it is, without any exaggeration, rock solid. It’ll blow your mind - DBSP incrementalizes **ANY** SQL query you throw at it - **ANY** query, even if you have a bazillion JOINs and a thousand GROUP BYs.

Portrait of Raki Rahman

Raki Rahman

Principal Software Engineer - SQL Server Microsoft

“Feldera is a game changer for building the highest value real-time fraud and feature engineering pipelines. Easy to use (it’s SQL) and state of the art in performance.”

Portrait of Jim Dowling

Jim Dowling

Co-Founder & CEO Hopsworks

“Securing AI agents at scale isn’t easy. Our customers include some of the most security-conscious organizations out there, and they expect rock-solid performance. Feldera helps us deliver on those expectations.”

Portrait of Graham Neray

Graham Neray

CEO & Co-Founder OSO

“Incremental computation is essential for any real-time data platform, and Feldera delivers. At Eviny, Feldera ensures we’re always working with the freshest data to power our real-time dashboards, produce new events from consolidated data, and support our analytics, all from a single pipeline per use case.”

Portrait of Kristoffer Føllesdal

Kristoffer Føllesdal

Solutions Architect Eviny Fornybar

“Solana Vibe Station’s API uses Feldera to deliver millisecond updates on over 100GB of new blockchain data daily, with negligible compute costs.”

Portrait of Bruno Rucy

Bruno Rucy

Solana Vibe Station, Lucidarium

Feldera’s IVM engine is best in class - it is, without any exaggeration, rock solid. It’ll blow your mind - DBSP incrementalizes **ANY** SQL query you throw at it - **ANY** query, even if you have a bazillion JOINs and a thousand GROUP BYs.

Portrait of Raki Rahman

Raki Rahman

Principal Software Engineer - SQL Server Microsoft

“Feldera is a game changer for building the highest value real-time fraud and feature engineering pipelines. Easy to use (it’s SQL) and state of the art in performance.”

Portrait of Jim Dowling

Jim Dowling

Co-Founder & CEO Hopsworks

“Securing AI agents at scale isn’t easy. Our customers include some of the most security-conscious organizations out there, and they expect rock-solid performance. Feldera helps us deliver on those expectations.”

Portrait of Graham Neray

Graham Neray

CEO & Co-Founder OSO

“Incremental computation is essential for any real-time data platform, and Feldera delivers. At Eviny, Feldera ensures we’re always working with the freshest data to power our real-time dashboards, produce new events from consolidated data, and support our analytics, all from a single pipeline per use case.”

Portrait of Kristoffer Føllesdal

Kristoffer Føllesdal

Solutions Architect Eviny Fornybar

“Solana Vibe Station’s API uses Feldera to deliver millisecond updates on over 100GB of new blockchain data daily, with negligible compute costs.”

Portrait of Bruno Rucy

Bruno Rucy

Solana Vibe Station, Lucidarium

Feldera’s IVM engine is best in class - it is, without any exaggeration, rock solid. It’ll blow your mind - DBSP incrementalizes **ANY** SQL query you throw at it - **ANY** query, even if you have a bazillion JOINs and a thousand GROUP BYs.

Portrait of Raki Rahman

Raki Rahman

Principal Software Engineer - SQL Server Microsoft

“Feldera is a game changer for building the highest value real-time fraud and feature engineering pipelines. Easy to use (it’s SQL) and state of the art in performance.”

Portrait of Jim Dowling

Jim Dowling

Co-Founder & CEO Hopsworks

“Securing AI agents at scale isn’t easy. Our customers include some of the most security-conscious organizations out there, and they expect rock-solid performance. Feldera helps us deliver on those expectations.”

Portrait of Graham Neray

Graham Neray

CEO & Co-Founder OSO

“Incremental computation is essential for any real-time data platform, and Feldera delivers. At Eviny, Feldera ensures we’re always working with the freshest data to power our real-time dashboards, produce new events from consolidated data, and support our analytics, all from a single pipeline per use case.”

Portrait of Kristoffer Føllesdal

Kristoffer Føllesdal

Solutions Architect Eviny Fornybar

“Solana Vibe Station’s API uses Feldera to deliver millisecond updates on over 100GB of new blockchain data daily, with negligible compute costs.”

Portrait of Bruno Rucy

Bruno Rucy

Solana Vibe Station, Lucidarium

How 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 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.

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Use Case

Real-time medallion architectures

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.

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    Use Case

    Real-time feature engineering for fraud detection

    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.

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      Use Case

      Fine-grained authorization

      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.

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        Bring your existing SQL as-is

        SQL you already run in batch, at speeds you’ve never seen

        Bring your existing SQL as-is

        Ready to eliminate wasteful recomputation?

        Book a demo

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