Summary: We’ve recently partnered with Splice Machine, creators of the only Hadoop RDBMS! Learn what this partnership means to IT leaders and CIOs, and how it can help you address strategic challenges facing your company. Also, visit the demo site to see this partnership in action.
mrc (michaels, ross & cole, ltd.) is proud to partner with Splice Machine, creators of the only Hadoop RDBMS. mrc’s m-Power Platform now works with Splice Machine to create real-time operational applications over their Hadoop RDBMS.
Splice Machine delivers a database solution that incorporates the scalability of Hadoop, the standard ANSI SQL and ACID transactions of an RDBMS and the distributed computing power of HBase. It is designed to scale real-time applications using commodity hardware without application rewrites.
The m-Power Platform creates all types of enterprise web (and mobile web) applications, such as BI applications, reports, portals, e-commerce apps, dashboards, and more. By integrating with Splice Machine, m-Power will now deliver web application development on Hadoop.
Together, the m-Power Platform and Splice Machine can address a number of strategic challenges that are facing current CIOs:
- Improve agility. Using m-Power’s model-driven, point-and-click interface, CIOs can deliver solutions when the business needs them. Splice Machine’s Hadoop RDBMS performs 3-7x faster than traditional relational databases, and lets CIOs support ever-increasing data volumes without going through the time and expense of scaling up traditional databases.
- Future-proof architecture. Built on open source technology and frameworks, m-Power delivers future-proof applications. It works over any database and lets businesses deploy on-premise or in the cloud. Splice Machine protects businesses from exponential data growth by scaling out affordably on commodity hardware. Together, m-Power and Splice Machine provide businesses with a future-proof foundation.
- Bridge the skills gap. m-Power lets users build well-architected, secure, cloud-ready, and mobile-ready applications—without any knowledge of modern web application development. Splice Machine lets businesses adapt to expanding data sets without knowledge of big data technologies. With m-Power and Splice Machine, there is no need to bring on new, specialized hires or constantly retrain your current IT organization.
Demo
Splice Machine and mrc have created a demo site to show just how application developers can benefit from the m-Power platform. Click on this link to see a fully functional m-Power application running on Splice Machine.
The application demonstrates database CRUD operations, operational drill-down reporting, BI dashboard, web forms, and more. It encompasses all the common templates and elements one typically associates with a real-time operational application.
And to learn more about how to power real-time web applications, visit https://www.mrc-productivity.com/ and http://www.splicemachine.com/.
About mrc
mrc’s development platform, m-Power, is used to create business applications and can run on any platform that supports Java (e.g. OS/400, Linux, Unix, and Windows). Applications access any JDBC/ODBC compliant database such as DB2/400, Progress, Oracle, Postgres, MySQL, SQLServer and others, or any combination thereof. m-Power is used to create an endless variety of Java-based business applications, such as mobile apps, web reports, dashboards, eCommerce apps, business intelligence, and more. The m-Power Platform also automates translation and offers full multi-lingual support.
About Splice Machine
Splice Machine’s Hadoop RDBMS is designed to scale real-time applications using commodity hardware without application rewrites. The Splice Machine database is a modern, scale-out alternative to traditional RDBMSs, such as Oracle®, MySQL™, IBM DB2® and Microsoft SQL Server®, that can deliver over a 10x improvement in price/performance. As a full-featured Hadoop RDBMS with ACID transactions, the Splice Machine database helps customers power real-time applications and operational analytics, especially as they approach Big Data scale.
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