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.
In today’s digital enterprise, latency is the new downtime. Time spent waiting for an application to process data and act upon it is time lost for other opportunities. With that in mind, is there a connection between latency, innovation, and business performance? The Infinity Data research, commissioned in collaboration with Intel, examines how companies are addressing the challenge imposed by latency. The research was conducted through a survey of more than 350 IT decision-makers in the US and across industries: financial services, e-commerce, telecommunications, energy, and the public sector.
Key takeaways include:
– 58% of businesses measure latency in milliseconds or microseconds
– Databases were identified as one of the top causes of latency
– 49% of respondents said their teams were having significant difficulties handling large volumes of data
– Quicker access to data to inform business decisions was a top reason for combating latency in four of the five industries.