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 has been deployed in payment processing architectures at some of the largest banks and card processing businesses in the world. 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. In addition, the low latencies made possible by Hazelcast ensure positive customer experience, so consumers will not abandon a purchase.
The Hazelcast Platform comprises two broad capabilities that handle some of the key components in a payment processing architecture. The first is a stream processing engine, Hazelcast Jet, which can process incoming streams of data (i.e., transactions) at real-time speeds. The second is an in-memory data store, Hazelcast IMDG, which stores lookup/historical data in random-access memory (RAM) that helps Jet make decisions whether to approve a transaction and where to route the transaction upon approval. These two capabilities work together to enable high throughput and low latency requirements of the payment processing environment.