The Hybrid Stream Processing Engine


Self-optimizing, flexible, comprehensive and scalable with type-safe API for Java clients

Bluelytics is a data stream and complex event processing engine for filtering, merging, aggregating, transforming and handling data using in-memory technology. It is armed with data-connectors, machine learning, time series storing and much more. Using automatic self-optimization techniques Bluelytics can handle more than hundreds of thousands events per second on normal hardware. Built for developers who need to process high volume data streams like machine-, IoT- and sensor-data or even other messages or events.

We're going Open Source in the next weeks!

Your client code

Operator people = engine.create().from().mqtt("/people");
people = people.filter(people.is().age().greaterThan(21));
people =  people.filter(people.is().height().lessThan(180));
people = people.aggregate(p.get().weight().average());
people.run("mystream");
	

Bluelytics creates a sticky query including the connector


Bluelytics executes an optimized version for you

Open Source soon!

We'll start on Github in the next weeks!

Complete following form to be informed.

WE WILL BE HERE SOON, STAY WITH US

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