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Hazelcast

Unified real-time data platform combining stream processing with a fast data store for mission-critical applications

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About

Hazelcast is a unified real-time data platform that combines stream processing with an ultra-fast data store in one platform. Founded in 2010 and headquartered in Palo Alto, California, Hazelcast powers mission-critical applications that move the economy by enabling organizations to take instant action on streaming data.

The platform brings together distributed compute, in-memory data storage, intelligent integration, and vector search capabilities. Hazelcast supports multiple client languages including Java, Python, C#, C++, and Node.js, and integrates with cloud-native ecosystems. Their open-source core on GitHub is Apache 2.0 licensed and has earned thousands of stars from the developer community.

Hazelcast specializes in distributed caching and computing, real-time data processing and streaming, event stream processing, and low-latency resilient systems. With offices in Palo Alto, Istanbul, and London, the team builds solutions for real-time analytics, machine learning pipelines, and cloud computing.

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