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.
The fastest in-memory data grid, combined with third-generation high-speed event processing, delivered through the cloud.
The industry's leading, most comprehensive in-memory technology.
in-memory data grid
In-memory Stream Processing
On-demand Managed Service
Hazelcast has long been an industry leader in performance and adoption. See why leading companies with the most demanding environments rely on us when speed, scalability, stability and security matter.
The industry's leading feature set for in-memory solutions.
Hazelcast Management Center enables monitoring and management of nodes running Hazelcast IMDG or Jet. This includes monitoring the overall state of clusters, as well as detailed analysis and browsing of data structures in real time, updating map configurations, and taking thread dumps from nodes.
Hazelcast WAN Replication drives resilience for Hazelcast IMDG by keeping multiple Hazelcast IMDG clusters in sync on multi-site and multi-cloud deployments worldwide.
Hazelcast High-Density Memory Store allows you to store hundreds of gigabytes of data in-memory, which lowers cost by reducing the number of required CPUs and nodes. It also increases uptime through a reduction of garbage collection overhead, and accelerates application performance.
Hazelcast IMDG Striim Hot Cache ensures continuous synchronization between the cache and its underlying database, including real-time, push-based propagation and change data capture functionality, for consistency with the system of record.
Hazelcast Rolling Upgrade improves customer experience and reduces downtime, avoiding service disruptions, data loss, and interruption to execution.
Hazelcast Security Suite offers industry-leading security with end-to-end TLS encryption, mutual authentication with X509 certificates, and roles-based authorization over data structures and actions. It makes security a seamlessly integrated component of your Hazelcast IMDG Enterprise application.
Hazelcast Hot Restart Store allows full recovery to the previous state of configuration and cluster data, whether the restart is a planned shutdown or a sudden cluster-wide crash.
Industry-leading products backed by world-class consulting and training.
Hazelcast's ever-expanding online training center provides in-depth courses for a range of experience levels. 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.
Hazelcast offers expert help in delivering in-memory solutions, resulting in lower risk, shortest time-to-value, and the quickest path to self-sufficiency. With the primary objectives being the empowerment of our clients and their preferred implementation partners, our certified staff brings best practices based on our experience working with the world’s largest companies to train and support their staff during the deployment, upgrade and integration phases of their applications’ lifecycles.
See how easy it can be to add in-memory to your business. Start your free 30-day trial now.
This video by Hazelcast senior solutions architect Sharath Sahadevan walks through a setup of WAN Replication on Google Cloud Platform.
Machine learning (ML) brings exciting new opportunities, but applying the technology in production workloads has been cumbersome, time consuming, and error prone. In parallel, data generation patterns have evolved, generating streams of discrete events that require high-speed processing at extremely low response latencies. Enabling these capabilities requires a scalable application of high-performance stream processing, distributed application of ML technology, and dynamically scalable hardware resources.
See how the distributed compute features of Hazelcast can be used to build a rule engine for low-latency, high-throughput transaction processing.
Contact us now to learn more about how our in-memory computing platform can help you leverage data in ways that immediately produce insight and actions.