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GridGain Systems 2020 Predictions: Powering Digital Businesses in 2020 - Data Integration Hubs powered by In-Memory Computing

VMblog Predictions 2020 

Industry executives and experts share their predictions for 2020.  Read them in this 12th annual series exclusive.

By Abe Kleinfeld, CEO of GridGain Systems

Powering Digital Businesses in 2020 - Data Integration Hubs powered by In-Memory Computing

2020 promises to be a pivotal year in the adoption of in-memory computing across enterprises, largely to address their insatiable need to drive real-time business processes based on a 360-degree view of their data.

Data Integration Hub architectures allow users to implement high-throughput, large-scale, low-latency front-end services, and DIH architectures can span multiple source databases and cloud-based systems while supporting the operation of large numbers of end user-facing business applications. Hundreds of companies have implemented DIH architectures, and this trend will accelerate in 2020 as companies seek methods to reduce the number of API calls on mission-critical, cloud-based solutions while simultaneously expanding data access for driving real-time business processes. DIH architectures can also reduce complexity by creating a single data access layer from which myriad applications can pull data, and they can decouple front-end applications from back-end data stores. 

This can be illustrated with a use case. Imagine your company operates brick and mortar retail stores.  You sell products through your corporate website as well as in-store. You likely run business applications in your datacenter while also using SaaS applications for services such as billing. Customers can buy your products both online and in-store. As the volume of requests from your customer-facing applications increases, the number of API calls to the SaaS applications increases as well. SaaS solutions often suffer from latency issues and have limits on API calls that can greatly affect your company's ability to serve your customers quickly and profitably. This is similar to the situation described in the keynote presented by 24 Hour Fitness at the In-Memory Computing Summit North America.

Now suppose you want to reduce the API calls on your SaaS applications and have global access to all of your data in one datastore that can support your custom application logic. A cost-effective way to do this is with a Data Integration Hub (DIH) architecture. Gartner has defined DIH as an advanced application architecture that aggregates multiple back-end data sources into a low-latency and scale-out, high-performance data store (i.e. an in-memory platform). A DIH architecture can be deployed to cache your many data sources, whether they are internal applications or SaaS solutions, with an in-memory computing platform like Apache Ignite®. Using a DIH, all your data, both on-premise and in the cloud, can now be made available to all of your applications through a highly performant and scalable common data access and processing layer. This results in lowering the number of API calls while increasing the availability of your data at in-memory speeds. 

Beyond the use case above, a DIH architecture can enable automated real-time business processes in industries such as financial services, healthcare, supply chain and more, where systems can react instantly to real-time business demands based on 360-degree access to an organization's data.

Gartner previously predicted that 2020 will be the year in which in-memory computing will be incorporated into most mainstream products. As companies begin to understand the capabilities and benefits they can gain from a Digital Integration Hub architecture, in-memory computing will also become a foundational technology in most enterprise data centers.


About the Author

Abe Kleinfeld 

Abe Kleinfeld serves as GridGain's president & CEO and has transformed the company into the leading in-memory computing platform provider. Since joining in 2013, Abe has led the company through five years of triple-digit average annual growth, $29M in Series B venture financing and numerous awards including being named to the Inc. 500 list of America's fastest growing private companies for the past two years. GridGain is also known for founding and producing the annual In-Memory Computing Summit, the world's first and only in-memory computing conference.

Abe's career spans four decades, dating back to his start as a software engineer at Raytheon Data Systems, and marketing and sales management roles at Oracle Corporation and Wang Laboratories. Abe holds a bachelor's degree in computer science from State University of NY at Oswego, and is an avid photographer and science fiction fan.

Published Monday, February 03, 2020 7:28 AM by David Marshall
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