why we chose apache kafka
Kafka is a leading streaming and queuing technology for large-scale applications. Kafka works by taking the message stream, reliably storing it on a cluster of nodes and allowing this set of streams to be received by message processing applications.
Kafka is used in application architectures for different purposes:
- IoT, sensor data analysis: offers the possibility to manage the enormous amounts of data generated by the sensors, with very low latency.
- Batch Processing – Real Time processing: through stream processing it is possible to make changes or transformations of data during the flow, in real time.
- Microservices and asynchronous communication: it can be used as a tool for the exchange of asynchronous messages in an ecosystem of micro-services. It speeds up communication between applications and reduces the risk of information loss (fault-tolerance).
THE FIRST COMPLETE PLATFORM FOR TIME SERIES ANALYSIS, BASED ON APACHE KAFKA
Thanks to Apache Kafka, Isaac TS maximizes the power of Time Series analysis through smart data modeling and infrastructure monitoring tools.
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