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The Future of Storage: Software

Aug 3, 2018 |

In the previous story in this series, we looked at innovations occurring in storage hardware. Now it’s time to turn our attention to what’s going on in storage software, where innovation continues to push the boundaries of what is possible. Read more…

News In Brief

Data Grid Embraces Emerging ‘Go’ Language

Jan 30, 2018 |

Google’s Go language, or Golang, continues to gain traction for distributed cloud computing deployments. Launched in 2009, proponents assert it has emerged as a preferred programming language for developers deploying cloud infrastructure. Read more…

Spark Gets In-Memory Boost

Jan 10, 2017 |

Apache Spark is getting an open source computing and storage boost with its integration with a widely used in-memory data platform.

Hazelcast Inc. said Tuesday (Jan. 10) its in-memory data grid adds connector support for Spark, giving developers access to open source tools for data storage and computing that the company says go beyond the limits of a single Java virtual machine. Read more…

This Just In

Hazelcast Announced Enhancements to its Hazelcast Jet Solution

May 13, 2020 |

SAN MATEO, Calif.May 13, 2020 — Hazelcast announced significant optimizations to its real-time event streaming engine, Hazelcast Jet, further establishing it as a premier solution for edge computing environments. Read more…

Hazelcast Announces Managed Service for Simplified Management of Multi-Cloud and Cloud-to-Edge Applications

Mar 31, 2020 |

SAN MATEO, Calif., March 31, 2020 – Hazelcast announced the availability of Hazelcast Cloud Enterprise on Amazon Web Services (AWS), a low-latency deployment of Hazelcast software as a managed service designed to improve the performance, security and ease of management of cloud-based applications. Read more…

Hazelcast Announces the Release of Hazelcast Jet

Mar 10, 2020 |

San Mateo, Calif., Mar. 10, 2020 – Hazelcast, developer of an in-memory computing platform, announced the easiest way to deploy machine learning (ML) models into ultra-low latency production with its support for running native Python- or Java-based models at real-time speeds. Read more…

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