Companies need a data-processing solution that increases the speed of business agility, not one that is complicated by too many technology requirements. This requires a system that delivers continuous/real-time data-processing capabilities for the new business reality.
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.
Setting up servers and configuring software can get in the way of the problems you are trying to solve. With Hazelcast Cloud we take all of those pain points away.
Watch this webinar to learn how you can instantly fire up and then work with Hazelcast Cloud from anywhere in the world. With our auto-generated client stubs for Java, Go, Node.js, Python and .NET, we can have you connected and coding in less than a minute!
ETL is an acronym for “extract, transform, load.” Extract refers to collecting data from some source. Transform refers to any processes performed on that data. Load refers to sending the processed data to a destination, such as a database. ETL is a data processing concept dating back to the 1970s, but it remains important today because it is one of the most dominant frameworks for providing people and applications with data. Engineering and product teams load and preprocess data from a variety of sources to a number of destinations with ETL techniques and software.
Hazelcast Jet provides all the necessary tools to build a real-time stream processing application. It is a powerful processing framework for querying data streams on top of an elastic in-memory storage system, where the process may ultimately store its results.
Redis is good for simple data caching use cases, but in the real world you will want more than simple caching from your in-memory computing platform. When you’ve hit a wall at scaling Redis or struggled to work around its security issues, it’s time to turn to Hazelcast.
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Hazelcast IMDG meets the speed, security, and governance requirements of the most demanding financial institutions in the world.
Fraud has grown to epidemic proportions as our digital lives become increasingly interconnected, dependent, and exploitable. In-memory solutions such as Hazelcast IMDG and Jet enable real-time fraud detection or fraud detection machine learning at speeds and scale that drive security enablement to a new level.
Hazelcast smoothly integrates with Hibernate 3 and Hibernate 4, providing distributed caching support based on Hazelcast IMap technology. Features like scalability, in-memory backups, and automatic eviction are fundamentals of the Hazelcast architecture. Hazelcast brings those features to the Hibernate world.
In today's high-speed, time-is-money world, Hazelcast IMDG moves the needle where it matters most; speed that opens up new opportunities for innovation across your organization, scalability and elasticity that always keeps you at the optimal execution point, stability driven by distributed deployments that execute in parallel, and deeply integrated security capabilities to minimize disruption to your users and customers.
Hazelcast enables you to leverage the flexibility and performance of NoSQL data stores such as key-value and document databases with the added benefits of a distributed, horizontally scalable system that runs entirely in memory for blazing-fast performance.
Hazelcast In-Memory solutions provide the speed and dexterity needed in today's high-performance engineering environments, from development to manufacturing to logistical support. Innovate with Hazelcast.
Embed stream processing into your enterprise applications with Hazelcast to immediately process and respond to data.
In a world where billions of devices are constantly streaming data into your IT systems, Hazelcast In-Memory Computing Platform is the ideal solution for managing your IoT ecosystem.
Hazelcast enables organizations to seamlessly integrate with JCache. These operations can help to scale out applications and manage their high-speed access to their frequently used data. Hazelcast smoothly achieves its caching potential with a 100 percent compliant implementation that transparently registers with the JCache subsystem.
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