Start-Up Hazelcast 3.5 Brings Efficiencies of Web Scale In-Memory Computing to Enterprise

Hazelcast, Inc., provider of operational in-memory computing with over 8,000 company deployments, announced the availability of Hazelcast 3.5.

Foundational v3 Architecture

With this new version, Hazelcast High-Density Memory Store is now available to the Hazelcast client as a near cache providing access to hundreds of gigabytes of in-memory data on a single application server. All that data available in local application memory means an Instant, massive increase in data access speed on fewer application server instances to power the same total throughput. This vastly increases application performance while reducing hardware footprint and management complexity.

Already fast, Hazelcast’s performance engineers have streamlined the operation of every subsystem yielding across-the board performance increases of 20%-100%. Parallel query performance has been increased by an order of magnitude. Latency variability of distributed operations have been shaved to less than 5%, meaning smoother, more predictable operation under any load. For a complete report of the performance benchmark testing of Hazelcast 3.5 compared with 3.4. (registration requited)

Big applications often mean headaches for operations teams. The 3.5 release introduces new tools and features to make running an operational in-memory computing platform more manageable. New push-button deployment options make short work of provisioning a new cluster, reducing it to an easily reproducible process that completes in minutes. New WAN replication capabilities now push data to multiple data centers for fast, local access to data for satellite installations. Predictable latency and expanded monitoring capabilities make Hazelcast more stable and easier to visualize out-of-tolerance events that may require action.

“Hazelcast 3.5 is our best release yet, with a full set of enterprise management features and remarkable performance increases. The Hazelcast community is growing rapidly and we are now established as a trusted, enterprise_class platform for mission critical applications. It is widely recognized that we have a compelling and proven business case for companies who are looking to upgrade to in-memory for breakthrough application speed and scale,” said Greg Luck, CEO, Hazelcast.

Hazelcast 3.5 open source is available for download and pricing information for service and support, as well as information on Hazelcast Enteprise’s advanced features for large scale data center deployments, is available at the company’s web site.

Hazelcast is helping over 8,000+ companies transition their IT landscapes to its transformational benefits. The Hazelcast operational in-memory computing platform helps companies like Capital One, Chicago Board Options Exchange, Deutsche Bank, Ellie Mae, and Mizuho Securities USA, manage their data and distribute processing using in-memory storage and parallel execution for application speed and scale.

The firm is headquartered in Silicon Valley’s Palo Alto, with offices in Ankara, Istanbul, London, and New York City. It raised  an $11 million Series B VC round in September 2014.