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.
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.
A global bank rolled out a highly scalable, cross-border payment system.
Understanding driver behavior via the use of connected cars can help organizations make data-driven decisions to reduce safety risks, improve commercial driver productivity, and streamline fleet operations. In this webinar by Hazelcast and Intel, we will show a method for the non-intrusive and real-time detection of visual distraction.
Dale Kim, Sr. Director of Technical Solutions, will walk through Hazelcast's partnership with IBM and Intel and how they are working together on a number of use cases tied to edge computing, mainframe optimization, IBM Cloud, and more.
See how Hazelcast Jet, a real-time streaming engine, can be used by banks and investors to monitor trades. The financial industry must monitor trades in real-time, but traditional solutions delay analysis for batch processing. Hazelcast Jet can process streams of data in real-time for near-real-time visibility with a simplified processing pipeline.
Sr. Solutions Architect, Terry Walters, will present a vehicle telemetry demo that shows how real-time in-memory technologies from Hazelcast can be used to ensure safe driving at manufacturing plants and beyond.
CEO Kelly Herrell provides a quick overview of Hazelcast, its history, and the future of the leading in-memory computing platform.
Sr. Director of Technical Solutions, Dale Kim, will dive into Hazelcast's in-memory data grid and event stream processing engine. He will also highlight some interesting and innovative use cases built by Hazelcast customers
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