Confluent 2.0 Looks to Boost Apache Kafka


Confluent Platform 2.0, based on Kafka 0.9 Core, offers improved enterprise security and quality-of-service features.

Data management company Confluent has announced an update to their Apache Kafka platform. In a Dec. 8 release, the company said Confluent 2.0 boasts improved enterprise security and quality-of-service capabilities, as well as new features designed to boost and simplify development.

Confluent 2.0Apache Kafka, a real-time scalable messaging system, is often used as a central nervous system in IoT or other real-time data applications, making data available to systems with different requirements, such as Apache Hadoop versus stream-processing engines that transform data in flight.

“Kafka is becoming much more popular, as evidenced by the growing number of tools that are out there, and it anchors a stream processing ecosystem that is changing how businesses process data,” said Doug Henschen, vice president and principal analyst at Constellation Research.

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Confluent, which was founded by the creators of Kafka, said its Platform 2.0 includes a range of new developer-friendly features, including a new Java consumer that aims to simplify the development, deployment, scalability, and maintenance of consumer applications using Kafka. There’s also a supported C client for producer and consumer implementation.

According to Confluent, businesses often use Kafka to build centralized data pipelines for microservices or enterprise data integration, such as high-capacity ingestion routes for Apache Hadoop or traditional data warehouse. Kafka is also used as a foundation for advanced stream processing using Apache Spark, Storm, or Samza.

> Read more: How MemSQL uses Kafka and Spark for clients such as Pinterest and Comcast

For enterprises, new features in Confluent 2.0 include:

  • Kafka Connect: A new connector-driven data integration feature that eases large-scale, real-time data import and export for Kafka, enabling developers to easily integrate various data sources with Kafka without writing code, and boasting a 24/7 production environment including automatic fault-tolerance, transparent, high-capacity scale-out, and centralized management.
  • Data Encryption over the wire using SSL.
  • Authentication and authorization: Allows access control with permissions that can be set on a per-user or per-application basis.

According to Confluent, Kafka powers every part of LinkedIn’s business where it has scaled to more than 1.1 trillion messages/day. It also drives Microsoft’s Bing, Ads and Office operations at more than 1 trillion messages/day.

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Sue Walsh

About Sue Walsh

Sue Walsh is News Writer for RTInsights, and a freelance writer and social media manager living in New York City. Her specialties include tech, security and e-commerce. You can follow her on Twitter at @girlfridaygeek.

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