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.
Let us help you gain IT solutions with the highest performance levels that your organization needs.
With DLT and Hazelcast, you get IT solutions that deliver the highest performance levels that your agency needs to more effectively accomplish your mission. When DLT combines its extensive IT solution expertise in the public sector with the innovative, performance-boosting software technologies from Hazelcast, we help you solve the ever-growing challenges of getting significant value from huge data sets. Hazelcast provides an ultra-fast, public and private cloud-native application platform that lets you get the most out of your data.
DLT expertise focuses on six key areas, including application lifecycle, big data and analytics, business applications, cloud computing, cybersecurity, and IT infrastructure. Each of these areas can benefit from higher performance, and with Hazelcast in-memory and streaming technologies, government agencies can handle greater volumes of data at faster speeds. In addition to government agencies, DLT also has extensive experience working with education, utilities, and healthcare organizations.
Hazelcast specializes in technologies that help create the fastest software applications by efficiently leveraging a pool of RAM across a cluster of computer servers. The technology is based on an integration of in-memory data storage, distributed stream processing, and distributed batch processing. Built-in strategies such as data locality, near-cache, and data pipelining help to optimize application performance while simplifying the development process.
High performance is no longer a nice-to-have. Mission-critical solutions are being built across the public sector, and in-memory computing is enabling faster speeds to keep up with the rapid changes around how data needs to be leveraged.
DLT and Hazelcast support many different use cases, such as:
Technology architectural patterns include: