Stream. Analyze. Scale.

Streaming and event use cases are all around us, and great solutions like Kafka for event data exist and are mature. What’s not easy (until now) is integrating streaming event data and transactional relational data at scale, and reasoning over the unbounded stream at scale… in real-time. Regatta is a simple and effective solution for these scenarios.

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    Description:

    This demonstration originates from a real customer use case, tackling the challenge of reasoning over an unbounded data stream in real time—especially when integrating transactional data and systems. In this case, the focus is on IoT sensor data mapped across multiple tenants of a SaaS platform.

    There are alternatives.

    The Regatta distributed OLxP database scales performance linearly while guaranteeing strong ACID and high performance-efficiency. Unlike anything before, Regatta can execute complex distributed queries directly on up-to-the-second transactional data at scale, with no ETL or data pipelines.

    Tell non-distributed legacy systems to go shard themselves.

    Learn more, subscribe and try Regatta for yourself!

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