Event Stream Analytics

in the Modern Data Stack

Framework for performing complex event flow analytics with the power of a relational data model.

Specialized computation system for efficient event flow and relational calculations at scale.

An innovative new language of analytics providing an abstraction layer over SQL.

Concise expressibility, composability and reusability of advanced analytic constructs.

Stream and query processing engine purpose-built for cloud-native event data analytics at scale.

The first truly converged analytical processing engine that brings together streaming, batch and optimized storage, with high performance.

Getting started is easy.

Connect to Snowflake, BigQuery, Redshift or Databricks. Be up and running in an hour.