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.
Operating in today’s always-on, high-volume, high-speed, high-expectation world requires a different level of processing enablement. When microseconds can mean the difference between success and failure, Hazelcast in-memory solutions can deliver blinding speed with scalable and flexible data caching.
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.
Embed stream processing into your enterprise applications with Hazelcast to immediately process and respond to data.
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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 employs many performance optimizations to speed up batch processing up to 15 times compared to Spark or Flink. Hadoop is overperformed by magnitudes.
Hazelcast IMDG meets the speed, security, and governance requirements of the most demanding financial institutions in the world.
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 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.
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.
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