Middleware in the cloud is getting more complex each day. Not only are there service-oriented architectures (SOA) that drive traditional enterprise applications to deal with, but there is also a new generation of applications that leverage RESTful application programming interfaces (APIs). The end result is a level of application integration across the cloud that is […]
Middleware in the cloud is getting more complex each day. Not only are there service-oriented architectures (SOA) that drive traditional enterprise applications to deal with, but there is also a new generation of applications that leverage RESTful application programming interfaces (APIs). The end result is a level of application integration across the cloud that is unprecedented in terms of the amount of scale actually involved.
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To make integration in the cloud simpler, Actian, which was formed via the mergers of Versant, ParAccel and Pervasive Software with Actian, has introduced Actian DataCloud. The platform provides a data integration service that comes with templates for quickly integrating commonly used applications in the cloud and access to the underlying tools IT organizations will need for more custom projects.
Actian CTO Mike Hoskins says IT organizations today need middleware platforms that can dynamically scale because they are dealing with rivers of streaming data that often result in spikes in performance requirements. Hoskins says Action DataCloud leverages parallelization to seamlessly invoke additional computer cores on demand. The challenge that Actian DataCloud addresses is masking all the complexity presented by accessing multiple cores in parallel, says Hoskins.
One of the sad truths of enterprise IT these days is that organizations are investing in servers configured with multicore processors that most software was never designed to invoke simultaneously. As enterprise software continues to evolve, Actian is trying to be at the forefront of a major shift toward parallelization. As part of that effort, Actian also announced that the ParAccel massively parallel database now includes support for data provisioning, data discovery and native Hadoop analytics.
IT organizations of all sizes are being asked to operate at unprecedented levels of scale, but the only way that can really happen is when the software being used is designed to handle such increases in scale. As a result, most of the multicore processors available today are underutilized; not through any fault of the IT organization, but because of the antiquated nature of the legacy software being run on modern processor architectures.
Michael Vizard is a seasoned IT journalist, with nearly 30 years of experience writing and editing about enterprise IT issues. He is a contributor to publications including Programmableweb, IT Business Edge, CIOinsight and UBM Tech. He formerly was editorial director for Ziff-Davis Enterprise, where he launched the company’s custom content division, and has also served as editor in chief for CRN and InfoWorld. He also has held editorial positions at PC Week, Computerworld and Digital Review.
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