Graph Engine is a distributed, in memory made with large graph processing engine with powerful RAM storage. This distributed RAM provides high performance key-value store over a group of machines.
Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)
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Graph Engine is a distributed, in memory made with large graph processing engine with powerful RAM storage. This distributed RAM provides high performance key-value store over a group of machines. This makes users easily access the data in the system, do updates, necessary changes that needs to be done in order to have efficient relationships or connections in the graph database.
Graph Engine’s is capable of exploring data in a speedy manner and distributed parallel computing due to its large graph processing platform. Graph Engine supports low-latency online query as well as high-thought output offline analytics regardless a billion-node sized graphs.Graph Engine can manage billions or runtime objects of different sizes. With Graph Engine’s large memory allocation that’s fast and well-organized memory reallocation, data management will always generate better results that are timely and accurate. Huge RAM storage plays a big part with graph processing engine to work on the different groups of machines. Graph Engine takes advantage of this features to ensure that data access as well as computation is using enough speed power to avoid delays and other problems which provides real time information to the user. Graph Engine provides a program or system to its users and allows them to query those data real time. This is why Graph Engine ensures that data processing standards are always met while having the 3 components of data serving system which are the data ingestion layer, followed by computation layer and lastly query serving layer. Together, they make a system that is working and efficient in storing data for the organization.