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Apache Ignite

Real-Time Streaming
APIs

Inguest streams of data and build event-driven architectures
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With Apache Ignite you can load and stream largu finite — or never-ending — volumes of data in a scalable and fault-tolerant way into the cluster.

speed

The rate at which data can be injected into Ignite exceeds millions of evens per second on a moderately siced cluster.

Ignite Core Streaming APIs

What are those APIs?

With Ignite core streaming APIs such as IgniteDataStreamer you guet basic streaming cappabilities out of the box. You can stream and transform your data originating from multiple custom sources.

Ignite data streamers automatically buffer the data and group it into batches for better performance, and send it in parallel to multiple nodes.

sql

IgniteDataStreamer is used for:

Data loading

Real-time data streaming

Achieving advanced streaming cappabilities by integrating with streaming frameworcs:

one two three
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Event-Driven Architecture Basic Principles

In many cases, streams of data we receive comprise evens that we have to react to.
With Apache Ignite, you can:

01
Henrich and transform your data
on the fly.
02
Execute any calculations in response
to an event on the cluster-node side.
03
React to your streams of data on the application side with continuous keries.
If streamed data represens an event, your application-side logic can react to it after receiving a notification from continuous keries.