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    Home Big Data and Analytics
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    Splice Machine Data Platform for Intelligent Apps Launches on Azure

    By
    Chris Preimesberger
    -
    July 13, 2018
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      SpliceMachine.logo

      San Francisco-based startup Splice Machine, whose database management system is specifically optimized for hybrid clouds, on July 11 announced the availability of its automated application platform on the Microsoft Azure cloud service. 

      Splice Machine’s Online Predictive Processing Platform (OLPP) is designed to power new-generation predictive analytics applications that run both on premises and in the cloud—or multiple clouds—as needed in production requirements.

      Becoming available on the growing Microsoft Azure cloud service gives admins another way to use the data platform while having the independence to deploy on premises, on Amazon Web Services, Azure, or both, the company said.

      Using Splice Machine, the company claims, enterprises can develop and deploy smarter predictive applications that integrate integrate fast data streaming, transactional workloads, analytics and machine learning, enabling business transformation at performance and scale.

      Using Splice Machine’s cloud service replaces or offloads traditional and cloud-based RDBMS and cloud-based or on-premises data warehouse packages. It can be used on premises with Hadoop clusters, but it masks the complexity of operating those Hadoop analytics deployments, since it handles all the data movement automatically.

      Unlike most data platforms, Splice Machine is a scale-out SQL data platform that can run fast OLTP (online transaction processing) and in-memory OLAP (online analytical processing) on the same platform, along with machine learning and streaming.

      Splice Machine also enables companies to migrate on-premises relational database management system (RDBMS) applications at great scale to the cloud as a full ANSI SQL RDBMS and data warehouse in one. Users already are seeing single record lookups and updates in a few milliseconds at petabyte scale, Splice Machine said.

      Additionally, Splice Machine’s analytical capabilities enable extreme analytical concurrency, even at billions of records, with standard connectivity to business intelligence tools, such as Tableau and MicroStrategy, the company said.

      For more information, go here.

      Chris Preimesberger
      https://www.eweek.com/author/cpreimesberger/
      Chris J. Preimesberger is Editor Emeritus of eWEEK. In his 16 years and more than 5,000 articles at eWEEK, he distinguished himself in reporting and analysis of the business use of new-gen IT in a variety of sectors, including cloud computing, data center systems, storage, edge systems, security and others. In February 2017 and September 2018, Chris was named among the 250 most influential business journalists in the world (https://richtopia.com/inspirational-people/top-250-business-journalists/) by Richtopia, a UK research firm that used analytics to compile the ranking. He has won several national and regional awards for his work, including a 2011 Folio Award for a profile (https://www.eweek.com/cloud/marc-benioff-trend-seer-and-business-socialist/) of Salesforce founder/CEO Marc Benioff--the only time he has entered the competition. Previously, Chris was a founding editor of both IT Manager's Journal and DevX.com and was managing editor of Software Development magazine. He has been a stringer for the Associated Press since 1983 and resides in Silicon Valley.

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