Search Results for "distributed shared memory"

...Two implementations are available, based on System.Runtime.Caching and based on the new Microsoft.Extensions.Caching.Memory package. Redis can be used as an extremely fast and reliable out-of-process (or distributed) solution. Another great distributed solution is memcached, which can be used as a layer. The Redis implementation is based on the popular StackExchange.Redis package. Couchbase is primarily a document database but can also be used for simple caching. ASP.NET comes with its own in-process memory cache which can be used as one layer. ...

.NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write...

...Being an extension of C#, you can link, build or compile native C# assemblies or Classes and Libraries so that you can very easily port existing code. The programming language also exists in a managed shared library and can be dropped into any .net project so that you can use the compiler in your own projects, with plans to even provide executing compiled code in memory, effectively creating a RapidLang Scripting Language plugin!

Photon provides very fast access to data containers (queues, maps, etc.) in shared memory - it can retrieve millions of data records per second. It also uses some RDB concepts like transactions and crash recovery. See web site for details.