Live Data & Incremental Compute
Infrastructure that continuously maintains derived data and operational state as underlying data changes. These systems use incremental computation or streaming updates so AI applications and agents can query fresh, precomputed state without repeatedly recomputing entire datasets.
- Companies
- 4
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Companies
- Feldera
Feldera builds an incremental computation engine that keeps SQL query results fresh by updating only what changed, instead of recomputing whole datasets. It is designed for live and historical…
- Materialize
Materialize builds a live data layer that continuously maintains SQL views and other derived state so apps and AI agents can query fresh context without full recomputation. (materialize.com)
- Pathway
Pathway builds a live data framework for powering AI applications, RAG, ETL, and real-time data processing from continuously changing enterprise data sources.
- RisingWave
RisingWave builds a streaming database and real time data platform that helps developers maintain fresh derived state and query live data with SQL.