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.
While Hazelcast has run performance benchmarks against Oracle Coherence, the Oracle Technology Network License does not permit us to “disclose results of any program benchmark tests without Oracle’s prior consent.”
However, most people comparing Hazelcast IMDG® with Coherence will actually want to run a benchmark. With this in mind, we have a benchmark suite which we can share with you here.
Key Advantages of Hazelcast
While Hazelcast and Coherence share many similarities as true in-memory data grids, Hazelcast offers advantages that Coherence users should note.
Hazelcast includes features not available in Coherence, including support for multimaps, ring buffers, HyperLogLog, distributed atomic longs, distributed atomic refs, and distributed semaphores.
In addition to Java, C++, and C# (also supported by Coherence), Hazelcast supports Python, Node.js, Scala, and Go.
Hazelcast supports the near-cache and pipelining capabilities to boost performance.
Hazelcast supports reduced downtime via hot restart and rolling upgrades.
Hazelcast scales up by storing data in off-heap memory for higher capacity via the High Density Memory Store. Coherence relies on spilling over to disk, and requires running multiple server instances with a very small heap to mitigate garbage collection pauses.
Hazelcast is a cloud-native in-memory data grid that can be deployed anywhere. Hazelcast provides a lightweight technology in the form of a small JAR file that allows embedding in any Java application. Coherence deployment options are limited.
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.