Built on the latest in efficient, GC-free, columnar computation and packaged up to easily install and run locally on your existing hardware. High-efficiency compute means most workloads fit on a single instance, but Kaskada is cloud-native so you can scale when needed.
Modern, open-source event processing
Kaskada is a unified event processing engine that provides all the power of stateful stream processing in a high-level, declarative query language designed specifically for reasoning about events in bulk and in real time.
Kaskada's query language builds on the best features of SQL to provide a more expressive way to compute over events. Queries are simple and declarative. Unlike SQL, they are also concise, composable, and designed for processing events. By focusing on the event-processing use case, Kaskada's query language makes it easier to reason about when things happen, state at specific points in time, and how results change over time.
Kaskada is implemented as a modern compute engine designed for processing events in bulk or real-time. Written in Rust and built on Apache Arrow, Kaskada can compute most workloads without the complexity and overhead of distributed execution.
Declaratively express queries over partitioned, ordered streams without lossy mappings from streams to relational models. Queries freely combine rich analytic transformations and aggregations with order-dependent temporal and sequential operations.
Unified batch and streaming
Columnar compute allows you to execute analytic queries over large historical event datasets in seconds. End-to-end incremental execution allows you to maintain real-time query results computed over event streams efficiently. Kaskada's streaming-native query language means any query can be used, unchanged, for both purposes.
What can you use Kaskada for?
Compute event-based features at arbitrary, data-dependent, points in time in historical feature computation. Prevent data leakage, or accidental computation of future events that contaminate ML models.
Compute events in batch or real time for marketing, sales, or business analytics applications.
Dashboards & Monitoring
Analyze logs and events across multiple real time and batch sources for monitoring, troubleshooting, and threat detection. Visualize aggregations over the full history of your events.
Supply Chain Management
Manage supply chain events and processes across locations providing a better end user experience across channels. Dynamically adapt to changing resource availability in real-time.
Provide a differentiated user experience with applications that respond dynamically to user actions and behavior. Easily write sophisticated trigger conditions to implement real-time business logic.