Event Stream Analytics

in the Modern Data Stack


Relational Event Streams

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.

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

Concise expressibility, composability and reusability of advanced analytic constructs.

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Converged Analytical Processing (CAP)

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.

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Getting set up is easy.

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

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