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| <section id="mapreduce" class="page-section"> |
| <h1 class="first">Apache Ignite as .NET Data Grid</h1> |
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| <div class="col-sm-6 col-md-6 col-xs-12" style="padding-left:0;"> |
| <p> |
| The Ignite In-Memory Data Fabric provides a unified API that spans |
| JVM-based languages like Java, Scala and Groovy as well as first class support for |
| Microsoft CLR (.NET/C#) and C++. It connects them with multiple data stores containing structured, |
| semi-structured and unstructured data (SQL, NoSQL, Hadoop). It offers a secure, highly available and |
| manageable data environment that allows to process full ACID transactions and generate |
| valuable insights from real-time, interactive and batch queries. |
| </p> |
| |
| <p> |
| Ignites's In-Memory Data Fabric for .NET is designed to deliver uncompromised |
| performance for a wide set of in-memory computing use cases on top of .NET platform - |
| from high performance computing, to the industry most advanced data grid, CEP, and data streaming - all through native, optimized .NET APIs. |
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| One of the key technology behind .NET In-Memory Data Fabric is Portable Object that allows Ignite code access and exchange objects between multiple platforms: |
| <ul class="page-list"> |
| <li>Seamlessly interoperate between Java and .NET.</li> |
| <li>Make any object portable with zero code change to your existing code.</li> |
| <li>Nest portable objects within each other.</li> |
| <li>Automatically handle circular or null references.</li> |
| <li>Automatically convert collections and maps between Java, .NET, and C++.</li> |
| <li>Optionally avoid deserialization of objects on the server side.</li> |
| <li>Avoid need to have concrete class definitions on the server side.</li> |
| <li>Dynamically change structure of the classes without having to restart the cluster.</li> |
| <li>Index into portable objects for querying purposes.</li> |
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