Five Reasons Scale-Out SQL Will Make Waves in the Enterprise

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Massive transaction volume

Scale-out SQL lets you scale linearly as you add nodes, even with highly concurrent workloads. It also means no code changes or replacing databases or hardware as your application needs to grow. Every node can receive and process transactions to scale linearly as cluster sizes grow.

We’re quickly moving toward a world where business-relevant data analysis will support the fast moving, dynamic customer data from operational and social media interactions. Enterprises will want to analyze and act on this new breed of dynamic data in real time.

Such scale-out data management platforms need to handle large data volumes that change with high velocity and can run on commodity cloud or converged infrastructures. The options range from NoSQL and NewSQL to Hadoop. Each of these solves different data and workload challenges so the enterprise architect will need to be savvy in how to use these new building blocks successfully.

But one thing is clear – next-generation SQL databases are here to stay.

However, in-memory or scale-up databases alone will significantly drive up costs. Employing a scale-out database solution with a smart combination of RAM and flash delivers on these benefits with commodity economics.

In this slideshow, Clustrix, provider of a leading scale-out SQL database engineered for the cloud, will discuss five reasons why SQL, or rather, next-generation scale-out SQL, will make waves in the enterprise for years to come.


Related Topics : Business Intelligence Vendors, Data Quality, Data Warehousing, Key Performance Indicators, Knowledge Management

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