
Kaskada is a next-generation streaming engine that connects AI models to real-time and historical data. It offers real-time aggregation, event detection, and history replay capabilities, allowing users to precompute model inputs from streaming data, trigger AI behaviors based on events, and backtest using time-travel and point-in-time joins. Kaskada integrates seamlessly with Python's AI/ML ecosystem, enabling data loading, processing, training, and serving all in one place without infrastructure provisioning. Built with Rust and Apache Arrow for efficiency and reliability, it supports large historic and high-throughput streaming queries with automatic recovery. Kaskada's cloud-native design and partitioned execution enable scalability. The company was founded by core contributors to Apache Beam, Google Cloud Dataflow, and Apache Cassandra.

Kaskada is a next-generation streaming engine that connects AI models to real-time and historical data. It offers real-time aggregation, event detection, and history replay capabilities, allowing users to precompute model inputs from streaming data, trigger AI behaviors based on events, and backtest using time-travel and point-in-time joins. Kaskada integrates seamlessly with Python's AI/ML ecosystem, enabling data loading, processing, training, and serving all in one place without infrastructure provisioning. Built with Rust and Apache Arrow for efficiency and reliability, it supports large historic and high-throughput streaming queries with automatic recovery. Kaskada's cloud-native design and partitioned execution enable scalability. The company was founded by core contributors to Apache Beam, Google Cloud Dataflow, and Apache Cassandra.
Product: Next-generation streaming engine that connects AI models to real-time and historical data.
Core capabilities: Real-time aggregation, event detection, history replay/backtesting, and point-in-time joins.
Tech: Implemented in Rust, built on Apache Arrow, delivered as an embedded Python library; cloud-native design.
Funding & exit signals: Total funding reported ~9.78M USD; last disclosed round listed as Series A (2020-02-04); listed as acquired by DataStax (Jan 2023).
Real-time AI/ML feature computation from event-based (streaming and historical) data.
2016
“Includes Founders' Co-op and NextGen Venture Partners; four investors listed.”