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.
Our platform lets you build the fastest applications. Access a scalable, shared pool of RAM across a cluster of computers.
Today announced significant optimizations to its real-time event streaming engine, Hazelcast Jet, further establishing it as a premier solution for edge computing environments.
There are many things you can do with Hazelcast, and we are introducing Hazelcast Guides to help you get started! The guides are step-by-step, bite-sized samples where you can spend 10-15 minutes to gain experience with Hazelcast and various technologies.
In this webinar, we’ll show how the microservices model can fall short in addressing the need for distributed access to shared data, and how Hazelcast can be used in a microservice architecture to solve some of the most difficult challenges facing developers and architects in building a robust distributed data architecture.
Today announced the availability of Hazelcast Cloud Enterprise on Amazon Web Services (AWS), a low-latency deployment of Hazelcast software as a managed service.
IBM will offer the Hazelcast In-Memory Computing Platform (IMCP) integrated as part of IBM’s Cloud Pak offerings, enterprise-ready containerized software running on Red Hat OpenShift.
We're happy to introduce Hazelcast Jet 4.0 and its new features. This release was a significant effort and featured 230 PRs merged which makes it one of our biggest releases in terms of new features.
The most common theme we hear about stream processing is how to make it easier. Many IT professionals understand the value that streaming data provides, but they still see a barrier to adoption due to the complexity of existing stream processing technologies.
By allowing customers to take machine learning models directly from data scientists - unchanged - and deploy them within a streaming pipeline, Hazelcast Jet is simplifying machine learning inferencing.
We are happy to announce the general availability of Hazelcast IMDG 4.0.
Hazelcast today announced the expansion of its Series D round due to over-subscribed interest from global investment entities.
The fastest in-memory data grid, combined with third-generationhigh-speed event processing, delivered through the cloud.
in-memory data grid
In-memory Stream Processing
On-demand Managed Service
New data-enabled applications can deliver transformative business power – if they meet today’s requirement of immediacy. The Hazelcast platform lets you build the fastest applications by accessing a scalable, shared pool of RAM across a cluster of computers.
Hazelcast’s distributed architecture provides redundancy for continuous cluster up-time and always available data to serve the most demanding applications. Capacity grows elastically with demand, without compromising performance or availability.
Hazelcast In-Memory solutions are complementary to databases and orders of magnitude faster. Time is money; give your new apps the microsecond response time they need to drive your business forward. Leave the data preservation to the database and leverage Hazelcast for data processing at digital speed.
In the digital era, users won’t wait. Whether it’s a complex e-commerce transaction or a machine learning-powered customer self-service portal, speed is everything. Hazelcast customers have actually leveraged our speed to create more time in their tiny processing windows to layer in more and deeper services, creating exceptional business value while delivering their industry’s best user experience.
With enough speed and scale there is more time to filter risks more thoroughly. Run more stringent fraud detection, review policy risks in real-time, run machine learning algorithms without compromising user experience. Hazelcast enables unthinkable applications.
Arguably the single most important part of your business. Get security wrong and everything else suffers. Hazelcast In-Memory solutions bring a whole new level of capability to security enablement, as proven by some of the world’s most demanding customer environments.
public class FirstMapExample { public static void main(String[] args) { HazelcastInstance hz = Hazelcast.newHazelcastInstance(); Map<String, String> employees = hz.getReplicatedMap("employees"); employees.put("1", "emp1"); employees.put("2", "emp2"); employees.put("3", "emp3"); employees.put("4", "emp4"); employees.put("5", "emp5"); System.out.println("Total number of employees " + employees.size()); } }
Do you understand this block of code? If not, you may skip this section. For you developers, we want to share some of the features of Hazelcast that make it easy for you to just code:
Hazelcast In-Memory solutions can meet the growing demand for faster response time, greater integration, better fraud and risk management. They can also provide deeper insights from continuous streams of financial activity. Hazelcast allows you to unlock more value from transactional systems through faster integration to systems of record.
Hazelcast In-Memory solutions deliver unprecedented speed and stability in a world where billions of devices are streaming data continuously. Power machine learning and artificial intelligence (AI) applications at scale with no risk of downtime, leading to lower costs and increased customer satisfaction.
Government, whether at the federal, state or local level, requires speed, scalability, transparency, and efficiency. Hazelcast In-Memory solutions offer the depth and flexibility to cover the breadth of government applications, from in-theater intelligence to local voter registration.
Delivering e-commerce systems that provide competitive advantage is one of the toughest challenges facing retailers today. While speed and availability are table stakes in today’s online world, retailers must also make sense of the huge volumes of data generated by customers, which is where Hazelcast delivers an unfair advantage.
To be able to provide a dependable service to tens of thousands of concurrent players, gaming companies require a fast, elastic and easy-to-use system that brings the speed and stability associated with Hazelcast In-Memory solutions, while providing instant access to a reliable system of record.
Media consumers are more demanding than ever – asking not only for their own content on their own schedule, but content from all sources delivered as a stream with recommended content mixed in. Complex requirements driven by the need for immediate gratification make in-memory the perfect use case for media companies.
Hazelcast In-Memory Computing Platform provides a global, reliable and elastically scalable fabric that can deploy across a wide area to support commercial and military logistics including transport, container shipment, travel, supply chain, GIS, and many other use cases.
Intel and Hazelcast jointly optimize in-memory computing solutions; Intel hardware uniquely accelerates Hazelcast software, making Intel and Hazelcast truly better together. Hazelcast’s strategic co-engineering and co-innovation collaboration with Intel is designed to accelerate the performance of real-time applications, artificial intelligence (AI), and the Internet of things (IoT) solutions for enterprises.
Migrating applications where low latency is not a requirement is often the starting point for enterprise cloud migration strategies. There is, however, a general hesitation in migrating mission-critical and time-sensitive applications to the cloud when low latency is a high priority. This hesitancy is due to concerns around regional availability and inconsistent hardware from one cloud provider to another when employing a multi-cloud strategy. To solve this problem, Hazelcast and IBM have announced a joint initiative to:
This white paper discusses the value of cloud deployments and how Hazelcast Cloud Enterprise can help you get the most out of your investment in cloud applications.
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.
