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                    <h2 class="first">Ignite as .NET Data Grid</h2>
                    <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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            <p>
                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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