A versatile general-purpose computation engine, graphengine provides a unified declarative language for both data modeling and message passing with many built-in features.
Graphs play an indispensable role in a wide range of domains. Graph processing at scale, however, is facing challenges at all levels, ranging from system architectures to programming models. Underpinned by a strongly-typed RAM store and a general computation engine, Graph Engine helps users build both real-time online query processing applications and high-throughput offline analytics systems with ease.
Graph Engine’s RAM store can manage billions of run-time objects. The RAM store provides efficient memory management with high memory utilization ratios. It takes full advantage of the RAM to speed up data accesses and computations in a way that makes every single byte count.
As a versatile general-purpose computation engine, Graph Engine is extremely extensible. It provides a unified declarative language for both data modeling and message passing. Instead of using a fixed data schema and hard-wired computation paradigms, it allows users to freely define data schemata and extend the system capability by performing fine-grained message passing.
Graph Engine is ready to integrate with other system stacks as well. The user-defined APIs can be easily exposed via RESTful interfaces. An application powered by Graph Engine is accessible to any connected device.
Graph Engine has many built-in features for distributed programming, including:
Declarative data modeling and network programming;
Full IntelliSense support;
Language-Integrated Query;
Remote application deployment, control, monitoring, and debugging.
Graph Engine provides seamless integration with the powerful integrated development environment Visual Studio and Microsoft’s cloud computing platform Azure. It offers developers the best experience in both development and deployment on both the local and cloud sides. Developers can create Graph Engine applications in the all-purpose Visual Studio and deploy the applications to the cloud (Azure) with just a few clicks.
This is our first official public preview. We look forward to feedback and suggestions. We will continue to provide routine maintenance and regular new releases, turning our research ideas into real-life functionality.
To get more information, documents, and downloads, please visit: http://graphengine.io.
