Fresh data. Any SQL. No recomputation.
Feldera is an incremental compute engine that maintains any SQL query on fresh data - in milliseconds, at any scale, at a fraction of the cost.
Built on DBSP theory (Best Paper, VLDB ‘23), it’s the only engine that incrementally maintains any SQL, including hundreds of joins, recursive queries, and sliding windows, with the exact same correctness guarantees as your warehouse.
Show us your hardest pipeline. We’ll prove it in 30 minutes.
Loading...
Real-time
Dramatically speed up time-to-insight
Nightly or periodic jobs slowing down your decision making and data velocity? Instead, use Feldera to instantly get real-time insights as soon as your data arrives, at a fraction of the cost.
Loading...
Efficient
Cut infrastructure costs by up to 30x
Feldera scopes compute to the amount of new data rather than the entire database, ensuring low resource usage and avoiding unnecessary overhead.
Loading...
Only SQL required
Only SQL required
Powered by award-winning research that can evaluate sophisticated SQL exactly as you’re used to from existing platforms. Completely avoid bespoke data engineering pipelines with a mishmash of ETL processes just to productionize models.
Loading...
Mark my words Feldera is going to take over Apache Spark, it’s the only engine that can, these Polars/DuckDB/LakeSail folks are just milking out native code execution/SIMD/Vectorized Execution vs JVM/Row-wise execution. Feldera is mathematically superior to Apache Spark (and all other SQL ETL engines I’ve seen, including Flink).
Mark my words Feldera is going to take over Apache Spark, it’s the only engine that can, these Polars/DuckDB/LakeSail folks are just milking out native code execution/SIMD/Vectorized Execution vs JVM/Row-wise execution. Feldera is mathematically superior to Apache Spark (and all other SQL ETL engines I’ve seen, including Flink).
Mark my words Feldera is going to take over Apache Spark, it’s the only engine that can, these Polars/DuckDB/LakeSail folks are just milking out native code execution/SIMD/Vectorized Execution vs JVM/Row-wise execution. Feldera is mathematically superior to Apache Spark (and all other SQL ETL engines I’ve seen, including Flink).
Replace bulky ETL pipelines with SQL
Define deeply nested queries out of tables and views, and watch all of them update incrementally in real-time as new data arrives, from any number of live and historical data sources.
We <3 open-table formats
Compute over Delta Tables, Iceberg and any combination thereof with our myriad connectors. We have you covered.
Batteries Attached
Feldera automates all the difficult parts of incremental compute so you don’t have to.
Loading features...