Hazelcast, Inc.

Hazelcast, Inc. is a US-based company specializing in in-memory data processing solutions, offering a unified real-time data platform that enhances application performance across various cloud environments. Founded in 2008 and headquartered in Palo Alto, US, Hazelcast, Inc. focuses on in-memory computing solutions that facilitate high-performance data processing.

The company has completed 8 funding rounds, with the most recent being a Series D round on February 11, 2020, raising USD 17. 364 mn from investors including Bain Capital, C5 Capital, and Capital One Ventures. Over its history, Hazelcast has strategically positioned itself in the tech landscape but there are no noted pivots in their business model or operations. Hazelcast offers a unified real-time data platform designed to enhance application performance through distributed caching, data integration, and in-memory computing.

The core product, the Hazelcast Platform, enables businesses to efficiently deploy their applications across various cloud environments while ensuring high performance, resilience, and scalability. The platform supports sub-millisecond data access and high availability through geo/WAN replication, serving industries like financial services, retail, and healthcare with clients such as Swedbank, BNY Mellon, and BNP Paribas. Hazelcast's revenue model is based on subscription services, allowing clients to access the Hazelcast Platform and its features. This B2B approach involves partnerships with enterprises needing robust data processing capabilities.

Clients can choose between self-managed on-premise solutions or cloud-based deployments, with revenue generated through annual subscriptions tailored to meet specific business needs. Signature offerings like the Hazelcast Management Center further enhance client value by facilitating efficient management of nodes and clusters in their data processing operations. In February 2020, Hazelcast, Inc. raised USD 17.

36 mn in Series D funding to accelerate its enterprise cloud and machine learning initiatives. The company aims to expand its global footprint into new markets and geographic regions, focusing on enhancing its product offerings. The recent funding will support the development of new products, although specific release dates have not been disclosed.