In-Memory Computing with Data-Parallel Stream Processing

Fast and intuitive in-memory computing platform for live, operational data streams

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Streams of live data flow into the in-memory data grid and are combined with historical data…

Streams of live data flow into the in-memory data grid and are combined with historical data…

Integrated in-memory compute engine analyzes live data in real time and generates immediate results…

Integrated in-memory compute engine analyzes live data in real time and generates immediate results…

Real-time alerts and feedback provide operational intelligence needed by live systems.

Real-time alerts and feedback provide operational intelligence needed by live systems.

Move Computing to Where the Data Lives

Beyond just serving as a fast, scalable repository for live data, in-memory data grids (IMDGs) provide the foundation for real-time analytics. By harnessing the scalable computing power of the server clusters on which they run, IMDGs enable large, in-memory data sets to be analyzed in parallel, delivering immediate results and important feedback to live systems. While they can serve distributed queries to select data of interest for client applications, their real power lies in the ability to host data-parallel computations within the grid — moving computing to where the data lives — to deliver blazing performance and eliminate bottlenecks to scalability.

Operational Intelligence

Operational intelligence uses the power of in-memory computing to track fast-changing data within live systems, analyze them in parallel, and then provide immediate insights and actionable feedback — with far-reaching benefits.

OPERATIONAL INTELLIGENCE

Streaming Analytics

Avoid the complexity and performance bottlenecks of conventional stream and event processing systems. With its ability to move computing to where the data lives, in-memory computing introduces the next-generation architecture for streaming analytics.

ARCHITECTURE

Fast Big Data

ScaleOut’s in-memory computing platform brings real-time analytics on live data to the world of big data.

Easily construct in-memory models that track live systems

Unlike other stream-processing and CEP architectures, ScaleOut’s in-memory data grid supports the creation of dynamic, object-oriented models for operational systems.

Run in-memory analytics

ScaleOut ComputeServer runs object-oriented, data-parallel computations for both Java/Linux and C#/.NET applications. ScaleOut hServer executes standard Hadoop MapReduce code on live, in-memory data.

Deliver actionable results — fast

ScaleOut’s intuitive in-memory computing platform provides built-in scalability and integrated high availability to enable immediate feedback for live systems and handle fast-growing workloads.

In-Memory – Data-Parallel

Easy to deploy and manage

ScaleOut makes in-memory computing easy to use. Experience the low TCO resulting from simplified development, a self-tuning architecture, automatic load-balancing, and transparent high availability.

Analytics that scale

ScaleOut’s in-memory computing technology scales linearly to handle large workloads fast. Just add servers to the compute cluster, and ScaleOut takes care of the details.

Run computations where your data lives

Use in-memory computing to track and analyze live data within a single system. This avoids the performance-killing data motion of conventional stream processing or offline analysis, and it enables immediate insights.

Minimize development time

ScaleOut’s object-oriented, data-parallel computing model makes development fast and easy by simplifying application logic and keeping it cleanly separated from the execution platform.

Enable deeper introspection

Integrating in-memory data storage and computing moves the focus from pure event processing to modeling live systems, enabling fast, context-aware analysis of incoming data streams.

Run Hadoop MapReduce on live data

Run MapReduce applications on in-memory data with breakthrough performance. See how ScaleOut hServer can be used to extract, transform, and load live data into HDFS.

Try ScaleOut for free

Use the power of in-memory computing in minutes on Windows or Linux.

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