This short video explains why companies use Hazelcast for business-critical applications based on ultra-fast in-memory and/or stream processing technologies.
Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java applications, microservices, and in-memory computing?
In this webinar, we will cover the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects.
Now, deploying Hazelcast-powered applications in a cloud-native way becomes even easier with the introduction of Hazelcast Cloud Enterprise, a fully-managed service built on the Enterprise edition of Hazelcast IMDG. Can't attend the live times? You should still register! We'll be sending out the recording after the webinar to all registrants.
With our recent release of Hazelcast IMDG 4.0, we would like to invite you to watch this video, where we will discuss the new features in this release at a high level and talk about how you can take advantage of them.
Hazelcast Cloud Enterprise is the new cloud-native managed service that allows you to quickly set up Hazelcast IMDG in a public cloud, fully managed for you by Hazelcast. This tutorial will walk through deployment of Hazelcast Cloud Enterprise on Amazon AWS.
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Looking for info on our live events? We're busy coordinating developer events at the moment, so please check back in a few days for the latest info. In the meantime, check out our free, on-demand training.
Neil Stevenson provides a demo of the Hazelcast Platform in action.
CTO John DesJardins dives into the details of the Hazelcast Platform and initial use cases.
Hazelcast CEO Kelly Herrell and Morgan Stanley Executive Director Stephen Goldbaum chat about the potential benefits of the Hazelcast Platform within the financial services industry.
Forrester analyst, Mike Gualtieri, discusses the emerging category called "translytical data platforms" and its drivers. He also details the key attributes of a translytical data platform.
CEO Kelly Herrell breaks down the business drivers and use cases for the Hazelcast Platform while highlighting the company's direction and new branding.
In this episode, we show how to create a free cloud-based Hazelcast cluster using the Hazelcast Cloud Starter Edition
In this episode of HazelVision, we cover the basics of installing Hazelcast IMDG using common package managers, starting up a cluster via the Command Line Interface, and writing a simple client program to access the cluster.
Hazelcast was evaluated as a Strong Performer in this report, and received the top scores possible in the enrichment, throughput, latency and availability criteria. Hazelcast also earned a 3 out of 5 score in the sequencing, aggregates, extensibility, usability, options for deployment, and four other criteria.
In the modern world what makes the difference is the shelf-life of your data analysis. When you run analysis on your data to derive insights, these insights rely on the recency of the data. All you need is a stream processing engine integrated with a fast data store. Changes in core data in the data store flow through streaming analytics to create derived data. If it’s all integrated, performance is excellent for high volume and low latency.
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