Klarian selects InfinyOn Cloud for IoT Streaming Analytics: View Video

Event Stream Processing

Event Stream Processing is a method for performing real-time calculations for data in motion. InfinyOn Cloud offers one of the highest performing event stream processing engines on the market. High volume processing for input data can be used to clean, transfrom, correlate and derive insights from data in real-time. Common inputs for event stream processing are:

  • Sensor data from machines or mobile devices
  • Customer data
  • Transaction data
  • Payment data
  • Geo location data

How do we solve this?

InfinyOn Cloud is a unified platform for event stream processing and real-time data tranformation. The solution is built on top of Fluvio an open-souce software that is similar to Apache Kafka. Fluvio was built from the ground up and was written in Rust which gives enterprises a strategic advantage when considering scale and security. See our Java vs. Rust comparison for details.

InfinyOn Cloud collects data from endpoints in any geo-location with fast and efficient single digit millisecond latency. Spin up a cluster, select source and sink connectors from our catalog, configure producers and consumers, then create a topic for streaming data. SmartModules can be set up in order to aggregate, filter or map streaming data. Users can share and reuse data transformations to quickly build sophisticated data pipelines with SmartModule Hub. InfinyOn Cloud makes it simple to set up, deploy and manage your cluster.


Event Stream Processing Use Cases

Common use cases for event stream processing include change data capture, data cleansing, data protection, ETL to STL, fraud detection, integrations management, log analytics, predictive maintenance, real-time inventory management, real-time payments, secure transactions, and supply chain automation.