New query tool makes life easier for .NET developers
Standard query tools can often lack the flexibility required to deliver precise results which results in the need for further processing and adds to data traffic.
To address this problem ScaleOut Software is announcing a new computational query tool that combines Microsoft's LINQ query with the company's own data-parallel computing technology to offer more powerful and flexible query tools for grid-based applications. Available with ScaleOut Software's suite of in-memory data grid products, including ScaleOut StateServer and ScaleOut ComputeServer, computational query makes it easy for .NET developers and architects to harnesses the full power of the grid's data-parallel compute engine and dramatically accelerate query processing. It's available for use with Java on both Linux and Windows systems.
"We are excited to add computational query to our distributed LINQ query support based on customer feedback asking for even richer query capabilities," says Dr William L Bain, founder and CEO of ScaleOut Software. "We see a growing need for computational query in e-commerce, finance, and IoT applications that depend on in-memory data grids to track fast-changing data. These applications require powerful query tools to make informed, timely decisions before the moment is lost. We see this as an easy but important step that .NET developers and architects can take towards harnessing the full power of data-parallel computing".
ScaleOut's computational query enhances LINQ query thanks to a user-defined filter method which allows applications to extend query semantics by analyzing all properties of an object with a user-defined computation. It provides automatic, data-parallel computing that analyzes data in place, thereby reducing both networking traffic and client workload. User code is automatically shipped to grid servers, which manage its execution. By harnessing the power of the in-memory data grid to perform advanced query analysis, computational query accelerates query processing.
You can find out more about computational query and how it works on the ScaleOut website.
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