According to a new press release, “Hazelcast, the leading in-memory computing platform that delivers the System of Now™, unveiled today new third-party integrations with connectors to accelerate and expand the streaming ecosystem and capabilities for data-centric enterprises. The Hazelcast in-memory computing platform uniquely integrates proven data grid technology with next-generation event stream processing capabilities. The extremely lightweight footprint allows enterprises to accelerate their business applications on any cloud or edge device, in addition to on-premises data centers. ‘Data-centric enterprises are rapidly adopting the use of in-memory technologies to accelerate their business-critical applications and our integrations simplify the on-ramp to leveraging more random access memory in their architectures,’ said Greg Luck, CTO of Hazelcast. ‘The industry’s fastest stream processing engine, Hazelcast Jet is the premier solution for demanding next-gen applications, especially those aimed at the edge’.”

The release goes on, “As part of the Confluent Verified Integration program, Hazelcast is now a Standard-level Verified Connector for Kafka-centric architectures. The new connector enables enterprises to augment and enhance the exchange of data between Apache KafkaⓇ and other systems. Hazelcast can be used as both a source and a sink for Kafka, enabling applications with the highest throughput and lowest latency requirements. This certification demonstrates the company’s commitment to contributing to the Kafka ecosystem. With the Standard-level Connector, Hazelcast Jet lets enterprises run business-critical use cases such as payment processing, fraud detection, internet of things (IoT) and edge processing. With its in-memory architecture, Hazelcast boosts Kafka-based applications with extremely fast access to a horizontally scalable data store.”

Read more at hazelcast.com.

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