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Hazelcast Adds SQL Support in Latest Upgrade

Media Coverage – Sep 17, 2020

In-memory computing platform maker has Hazelcast is adding new features and enhancements to its namesake Java-based in-memory data grid.

Stream Processing Is a Great Addition to Data Grid, Hazelcast Finds

Media Coverage – Sep 14, 2020

In-memory data grids (IMDGs) historically have exceled in applications that require the fastest processing times and the lowest latencies. By adding a stream processing engine, called Jet, to its IMDG, Hazelcast is finding customers exploring new use cases at the cutting edge of high-performance computing.

Achieving‌ ‌Low‌ ‌Latency‌ ‌in‌ ‌the‌ ‌Public‌ ‌Cloud‌

Media Coverage – Sep 14, 2020

As all online business becomes more competitive – within the same industry and in the broader realm of customer experience in web and mobile apps – low latency will continue to be a priority. So as a business, how can you ensure the highest performance from your systems when moving to the cloud?

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Hazelcast Adds SQL Support in Latest Upgrade

Media Coverage – Sep 17, 2020

In-memory computing platform maker has Hazelcast is adding new features and enhancements to its namesake Java-based in-memory data grid.

Stream Processing Is a Great Addition to Data Grid, Hazelcast Finds

Media Coverage – Sep 14, 2020

In-memory data grids (IMDGs) historically have exceled in applications that require the fastest processing times and the lowest latencies. By adding a stream processing engine, called Jet, to its IMDG, Hazelcast is finding customers exploring new use cases at the cutting edge of high-performance computing.

Achieving‌ ‌Low‌ ‌Latency‌ ‌in‌ ‌the‌ ‌Public‌ ‌Cloud‌

Media Coverage – Sep 14, 2020

As all online business becomes more competitive – within the same industry and in the broader realm of customer experience in web and mobile apps – low latency will continue to be a priority. So as a business, how can you ensure the highest performance from your systems when moving to the cloud?

John DesJardins on In-Memory Data Grids, Stream Processing, and App Modernization

Media Coverage – Sep 14, 2020

In this podcast, John DesJardins, field CTO and VP solution architecture at Hazelcast, sat down with InfoQ podcast co-host Daniel Bryant. Topics discussed included: how in-memory data grids have evolved, use cases at the edge (IoT, ML inference), integration of stream processing APIs and techniques, and how data grids can be used within application modernization.

Using Edge Technology to Achieve Near Real-Time Insights

Media Coverage – Sep 11, 2020

Edge computing has enormous potential to transform how companies leverage data to produce value.

Hazelcast Advances Leadership, Lowers Barrier of Adoption to In-Memory Digital Integration Hubs

Press Release – Sep 9, 2020

Hazelcast today announced a new major feature and a number of enhancements to its in-memory data grid (IMDG), Hazelcast IMDG.

The New Stack Context: In-Memory Computing Meets Cloud Native Computing

Media Coverage – Aug 31, 2020

For this week’s episode, we spoke with Mike Yawn, a senior solution architect at Hazelcast, about the potential of in-memory computing to supercharge microservices and cloud native workloads.

Hazelcast Cloud Enterprise Streamlines Application Modernization Projects Utilizing Multi-Cloud Architectures

Press Release – Aug 19, 2020

Hazelcast today announced updates to its managed service that enables enterprises to simplify the delivery of multi-cloud capabilities to application modernization projects.

Hazelcast Simplifies Application Modernization with Event Driven Architectures

Media Coverage – Aug 17, 2020

The latest release of Hazelcast's Jet event stream processing engine for AI and ML deployments of mission-critical applications adds new app development features designed to simplify the integration of an event-driven architecture into brownfield deployments to gain new functionality around real-time and in-memory processing.