Applications & OS News
The 10 Coolest Big Data Products Of 2016 (So Far)
Confluent Platform 3.0
Working with live, streaming data is one of the biggest challenges in the big data arena. A key technology that's emerged to address the problem is Apache Kafka, an open-source message broker project that provides high-throughput, low-latency software for handling real-time data.
Confluent, launched in September 2014, was started by Kafka's original developers with the idea of leveraging the open-source software to help businesses realize value from streaming data. The Confluent Platform, built on Kafka, is a real-time data system that acts as a fault-tolerant, highly scalable messaging system. It can collect data from such sources as user activity logs, device instrumentation, stock ticker systems and other use cases.
In May, the startup debuted Confluent Platform 3.0, a major release that introduced Kafka Streams, which is a Java library for building distributed stream-processing applications. The 3.0 edition also features the Confluent Control Center, the company's first commercial product, for managing a Kafka environment.