Hazelcast
Real-time in-memory data and stream processing
About
Founded in 2012 and headquartered in Palo Alto, CA, Hazelcast provides a unified real-time data platform that combines an in-memory distributed data store with a co-located stream processing engine. Enterprises use it to execute low-latency stateful applications—fraud detection, real-time personalization, session clustering, and operational analytics—at microsecond response times without the roundtrip overhead of external databases. Key customers include JPMorgan Chase, HSBC, UBS, Volvo, Swedbank, and New York Life. The platform supports both cloud-native and on-premises deployments.
Products
-
Hazelcast Platform
— A cloud-agnostic data platform for caching, data integration, and distributed computing to accelerate scalable applications.
Customer sectors: financial services, retail banking, ecommerce
-
Hazelcast Management Center
— A monitoring and management tool to visualize and control Hazelcast clusters and applications in real time.
Customer sectors: devops engineers, platform engineers, mid-market enterprises
-
Hazelcast Support
— Professional support services offering expert help and operational guidance for Hazelcast deployments.
Customer sectors: enterprise IT, devops teams, solution architects
-
Enterprise Edition
— The commercial Hazelcast version with enhanced features, security, and support for production-grade applications.
Customer sectors: large enterprises, financial institutions, technology companies
-
Community Edition
— The open-source Hazelcast version providing core features for developers to build scalable data-driven apps.
Customer sectors: developers, startups, open-source enthusiasts
Market research & competitive positioning
Source-backed TAM / SAM / SOM sizing, displacement analysis, and an interactive peer positioning map for Hazelcast — available to members.
Related Companies
Other startups in Data Management Platforms
