Hazelcast Joins Confluent Partner Program

Palo Alto, CA - 29 March 2017

Confluent Partner DataMountaineer deploys Hazelcast for IoT stream processing and analytics solution 

Hazelcast, provider of the leading open source in-memory data grid (IMDG) with hundreds of thousands of installed clusters and over 17 million server starts per month, today announced it has joined the Confluent Partner Program as a Technology Partner. Confluent, provider of the only streaming platform based on Apache Kafka™, designed the program to enable a rapidly growing ecosystem around Apache Kafka and Confluent. Confluent Enterprise has become a critical platform to achieve real-time, event-driven architectures at scale, enabling organizations to lower latency and make more informed business decisions.

To highlight the IoT application benefits that can be achieved from combining Kafka and Hazelcast IMDG, Confluent partner, DataMountaineer, has built a real-time, fast data integration that brings both technologies together to solve operational data management needs: the Kafka Connect Sink for Hazelcast IMDG. Specializing in the Confluent Platform, DataMountaineer provides scalable, unified, real-time data solutions for streaming and fast data platforms using the Kafka Connect API.

To process incoming IoT data, DataMountaineer has configured a Sink to write to Hazelcast IMDG. Hazelcast’s rich architecture and feature set allows it to receive high velocity writes for data storage, perform distributed processing and act as a perfect Sink. For example, Hazelcast IMDG supports distributed events, execution callbacks, entry processor and a wide array of data structures such as Map, Queue, Reliable Topics, Ringbuffer and JCache. A key differentiator of Hazelcast IMDG is that you can also use it as a caching layer – providing database caching, caching-as-a-service, Memcached replacement or plugin.

The DataMountaineer Hazelcast Sink supports the following features:

  • Kafka Connect Query Language
  • Reliable Topic, RingBuffer, Map, MulitMap, Set, List and JCache
  • JSON and Avro format
  • Error Policies
  • Parallel Writes

Using streaming analytics technology, DataMountaineer helps companies build architectures to turn the IoT data flood into reactive, scalable and robust streams of value. At the core of DataMountaineer’s architecture is Kafka – a highly distributed, fault tolerant streaming platform that includes stream processing capabilities, message persistence and seamless integration to offline storage.

“We’re pleased to welcome Hazelcast to the Confluent Partner Program,” said Rich Brazeau, director of business development and alliances at Confluent. “By working with DataMountaineer, Hazelcast has developed a connectivity solution that will enable mutual customers to process IoT data and build IoT applications at scale.”

Greg Luck, CEO of Hazelcast, said: “Confluent focuses on building streaming platforms, which is an ideal fit for Hazelcast – this formal partnership undoubtedly strengthens our capabilities on this critical platform. Working with like minded organizations like DataMountaineer we will be looking to develop storage and processing solutions for many markets including IoT, financial, gaming and media.”

Confluent, founded by the creators of open source Apache KafkaTM, provides the streaming platform that enables enterprises to maximize the value of data. Confluent Platform lets leaders in industries such as retail, logistics, manufacturing, financial services, technology and media, move data from isolated systems into a real-time data pipeline where they can act on it immediately. Backed by Benchmark, Data Collective, Index Ventures, LinkedIn and Sequoia, Confluent is based in Palo Alto, California. Download Apache Kafka and Confluent Platform.

Hazelcast is the leading provider of operational in-memory computing with hundreds of thousands of installed clusters and over 17 million server starts per month. The Hazelcast In-Memory Data Grid helps leading companies, like Capital One, Chicago Board Options Exchange, Deutsche Bank, Ellie Mae, and Mizuho Securities USA, manage their data and distribute processing using in-memory storage and parallel execution for breakthrough application speed and scale.

Hazelcast’s developer-friendly approach makes it easy to modernize existing applications while providing a platform for building new innovative solutions. Hazelcast is headquartered in Silicon Valley’s Palo Alto, with offices in Ankara, Istanbul, London, and New York City. 

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