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.
Looking for DEVELOPER specific use cases?
Hazelcast.org | IMDG Open Source
With billions of mobile users and potentially trillions of “things” generating data non-stop, there has never been a better time to deploy in-memory technology to support a wide range of high-speed streaming data sources, enabled by lightning-fast caching.
10% cost reduction
Streaming high-frequency data at sub-millisecond speed
From devices operating in complex, hostile, and remote environments
Events aggregated per second
With zero delays in processing, under extreme conditions
Hazelcast offers a light-footprint solution that enables lighting-fast edge processing applications across a broad range of industries.
The speed you need
From autonomous vehicles to remote drilling operations, streaming data at the edge requires incredible speeds, which can now be delivered by in-memory solutions.
Opportunities for innovation
When your processing and intake speeds accelerate by a factor of 1000x, new opportunities for service differentiation are suddenly possible. See how in-memory can move you ahead of your competitors.
Trying to track billions of things at once? Speed definitely matters. Stream data in at high volumes from multiple sources with Hazelcast Jet, and process the data in-memory with Hazelcast IMDG, all with millisecond speed.
An internet that has evolved to enable billions of devices and events, often occurring at the same time, requires scalability on a new level. Hazelcast provides distributed capabilities for seamless scaling.
Massive bursts of traffic? Hazelcast has you covered. Our ability to quickly scale up and down in response to external events optimizes your use of resources while maintaining high levels of customer satisfaction.
Providing millisecond response times, billions of times per second, with no noticeable impact on performance is what Hazelcast delivers. Our In-Memory solutions provide an end-to-end solution for the most demanding customers.
In this White Paper, Hazelcast provides business-level examples of how 5G and In-Memory can work together for Edge Use cases.
Learn about the requirements of IoT architectures and how in-memory technology plays a critical role in their operations.
This case study presents a comparison of alternative data stores and approaches, showing how the UK’s largest IoT network is using Hazelcast IMDG® to meet the operating requirements of their IoT architecture.
Read this white paper from RTInsights on how IoT/edge computing can open new up opportunities in your enterprise.
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.