OpenLegacy and GigaSpaces Collaborate to Accelerate Innovations

OpenLegacy, provider of digital-driven integration for legacy and core systems, is partnering with GigaSpaces, the provider of InsightEdge, empowering GigaSpaces users to leverage their existing legacy stack in a modern microservices architecture to reduce time-to-market for new digital initiatives.

With GigaSpaces, OpenLegacy users can scale data usage easily, unify mainframe data with the enterprise data lake and data warehouse and run analytics, machine learning and BI on the combined data sources, the companies say.   

The combined technologies accelerate innovation and optimize Total Cost of Ownership (TCO):

                    Modernize legacy stacks with a microservices architecture that accelerates time to market

                    Dramatically lower TCO by reducing MIPS consumption with in-memory access to data from any datastore

                    Reduce the risk and simplify legacy to cloud migrations

As businesses embark on digital transformation initiatives and modernize their business operations, requirements are growing for strengthening business performance to enhance customer experiences and reduce costly operations.

“Customers are looking to modernize their enterprise architecture and simplify the connectivity to any data source (CRM, ERP, DB, DWH, Mainframe, and more) across any environment, to accelerate transactional processing and analytics,” said Yoav Einav, vice president of products, GigaSpaces. “GigaSpaces provides a 360-degree view of the data, meeting the growing requirements for speed, scale, and analytics while offloading from the mainframe to reduce TCO.  Partnering with OpenLegacy expands our offering’s options for mainframe modernization initiatives."

OpenLegacy’s ability to automatically generate microservices-based APIs from legacy environments gives users an easier way to incorporate legacy data into their innovations and analytics.

GigaSpaces InsightEdge allows the consumption of legacy data and processes as digital assets in a secure in-memory data and analytics platform. In-memory data management accelerates transaction processing, database offloading, and advanced analytics for mission-critical applications requiring speed and scale. The related caching also reduces the number of requests to the mainframe, thus reducing consumption and related costs, the companies say.

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