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Case Study

Rolling Upgrades & Low-Latency Processing: How SNCF Optimized Train Operations and Geolocation

Rolling Upgrades & Low-Latency Processing: How SNCF Optimized Train Operations and Geolocation Challenge SNCF required low-latency performance to support and…

White Paper

A Real-Time Reference Architecture for Data-Driven Businesses

Establishing a Digital Core for the Real-Time Economy

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Beyond Caching with Hazelcast, Santander, and London Java Community

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Case Study

Rolling Upgrades & Low-Latency Processing: How SNCF Optimized Train Operations and Geolocation

Rolling Upgrades & Low-Latency Processing: How SNCF Optimized Train Operations and Geolocation Challenge SNCF required low-latency performance to support and…

Video

Beyond Caching with Hazelcast, Santander, and London Java Community

Discover how Santander scaled Hazelcast to power messaging, compute grids, and more, with insights from Engineering Lead Humphrey Fu. Plus, Hazelcast’s Ed Thurman shares practical strategies for resilient distributed systems, covering replication, backups, and failure-resistant Java design. Perfect for architects, engineers, and developers!

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Windowed Aggregations | Tell-U-Vision : Episode 15

Navigating Consistency in Distributed Systems: Choosing the Right Trade-Offs

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Press Release — Aug 20, 2024

Hazelcast Expands Global Partner Program to Support Mission-Critical, AI Application Projects

Hazelcast is announcing additions to its global partner program to modernize the data infrastructure of data-intensive applications and AI workloads.

Media Coverage — Aug 2, 2024

Hazelcast’s new vector search capability and its potential applications in AI workloads | Anthony Griffin

Anthony Griffin, Chief Architect at Hazelcast, emphasizes the importance of data distribution, resilience, and availability in its core platform, and is excited about the potential impact of this technology on the industry.

Media Coverage — Aug 2, 2024

Hazelcast Adds Vector Search

Hazelcast has made sure it keeps its platform progression evolving in line with current major trends and now introduced vector search.

The world’s leading companies trust Hazelcast to modernize applications and take instant action on all data to create new revenue streams, mitigate risk, and operate more efficiently. Businesses use Hazelcast’s unified real-time data platform to process all data, enrich it with historical context and take instant action with standard or ML/AI-driven automation — before it is stored in database or data lake.

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33% Reduction in Operational Costs

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A cloud-agnostic architecture for your applications

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Rolling Upgrades & Low-Latency Processing: How SNCF Optimized Train Operations and Geolocation

A Real-Time Reference Architecture for Data-Driven Businesses

Establishing a Digital Core for the Real-Time Economy

Beyond Caching with Hazelcast, Santander, and London Java Community

Latest Resources

Rolling Upgrades & Low-Latency Processing: How SNCF Optimized Train Operations and Geolocation

Beyond Caching with Hazelcast, Santander, and London Java Community

Windowed Aggregations | Tell-U-Vision : Episode 15

Trending in the Blog

Hazelcast collaborates with IBM to boost Real-Time Data Solutions on Mainframe

Turbocharging Java Reflection Performance with MethodHandle

Navigating Consistency in Distributed Systems: Choosing the Right Trade-Offs

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Hazelcast Expands Global Partner Program to Support Mission-Critical, AI Application Projects

Hazelcast’s new vector search capability and its potential applications in AI workloads | Anthony Griffin

Hazelcast Adds Vector Search

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