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.
Whether the restart is a planned shutdown or a sudden cluster-wide crash, Hot Restart Store allows full recovery to the previous state of configuration and cluster data.
Each node controls its own local snapshot, providing linear scaling across the cluster.
Hot Restart Store supports the IMap and JCache interfaces, as well as Web Sessions and Hibernate, with further data structures planned in subsequent releases.
Architecture and Features
Persistence store optimized for SSD and mirrored in native memory.
Each node operates its own independent store.
Data entirely loaded into RAM on reload, ensuring you always operate at in-memory speeds.
Configurable per data structure for JCache, Map, Web Sessions and Hibernate.
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.
Whether you're interested in learning the basics of in-memory systems, or you're looking for advanced, real-world production examples and best practices, we've got you covered.