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!
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.
Looking for DEVELOPER specific use cases? Hazelcast.org | IMDG Open Source
Overview
Today's engineering environment is driven by a massive increase in data input volumes and sources. In-memory technology provides the optimal solution to fuel innovation and modernize engineering processes.
In-memory brings unprecedented speed to today's complex, distributed development and manufacturing environments.
Run massively complex what-if testing scenarios by distributing the workload across secure clustered environments.
Eliminate single points of failure through distributed processing, reducing system down-time to essentially zero.
Cloud, multi-cloud, hybrid cloud, private cloud, multiple combinations thereof. In-memory technology can address your operational requirements.
In-Memory Computing
Enable engineering excellence through the industry's leading in-memory technology.
With the integration of new data sources, such as IoT, today’s engineering environment is both complex and exciting. Attaching sensors to elements in the design and manufacturing phases of engineering new products opens up a wealth of new capabilities that can improve both the process and the end product. This new level of data ingest requires immediate processing in order to maximize effectiveness. And that is precisely what in-memory solutions from Hazelcast can deliver.
Some of the largest engineering firms in the world have discovered the benefits of the Hazelcast In-Memory Computing Platform: blinding speed from Hazelcast IMDG, and integrated streaming from Hazelcast Jet. Offered together as a platform, Hazelcast provides engineers with the fastest and most scalable platform solution available.
50,000
Events gathered per second
Real-time operational view
99.999%
Uptime
Through distributed architecture and Hot Restart
Process Management Depth
More easily manage the design and creation of new products through instant assimilation of data from production-line IoT devices.
Stability and Continuity
Hazelcast’s cloud-ready cluster architecture allows you to distribute loads and process complex requirements in parallel, minimizing resource stress and reducing downtime to zero. Yes, zero.
Improved Performance
Scale and improve your performance elastically, reducing hardware requirements and driving efficiency.
The leading in-memory solution for engineering.
Solutions
Resources
Are you a developer, software engineer or architect looking to apply in-memory technologies to your current architecture? Are you looking to deliver ultra-fast response times, better performance, scalability and availability? Are you seeking new tools and techniques to manage and scale data and processing through an in-memory-first and caching-first architecture?
Hazelcast Enterprise features help simplify the DevOps function for companies that need secure, always-on, low-latency, in-memory processing features. Understanding the feature set of the Enterprise and Enterprise HD editions of the Hazelcast In-Memory Computing Platform will help you run at peak efficiency and performance. Features covered in this paper include: Rolling Upgrades Blue-Green Deployment Automatic […]
Payment processing systems require extremely high throughput rates as well as millisecond-level latencies. By leveraging the Hazelcast In-Memory Computing Platform, businesses gain a significant performance advantage to successfully process high volumes of transactions. Hazelcast also provides the scalability to easily grow and adapt to changing transaction volumes, which is especially important during heavy purchasing seasons and events with loads that spike well beyond typical levels.
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.
