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| About
            Graph Engine (GE) is a distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine. The distributed RAM store provides a globally addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access power over a large distributed data set. The capability of fast data exploration and distributed parallel computing makes GE a natural large graph processing platform. GE supports both low-latency online query processing and high-throughput offline analytics on billion-node large graphs. Schema does matter when we need to process data efficiently. Strongly-typed data modeling is crucial for compact data storage, fast data access, and clear data semantics. GE is good at managing billions of run-time objects of varied sizes. One byte counts as the number of objects goes large. GE provides fast memory allocation and reallocation with high memory ratios.
             | About
            Companies that opt for a DIY approach for their graph database can expect 2 to 3 months for a production-ready implementation. With Graph Story’s managed service, your production-ready database is available within minutes. Learn more about graph use cases as well as see a comparison between self-hosting and using a managed service. We can deploy where your servers already live: AWS, Azure, or Google Compute Engine, in any region. Need VPC peering or IP-restricted access? Just let us know. We're flexible like that. Building a proof of concept? Fire up a single, enterprise graph instance with a few clicks. Need to move up to a high-availability, production-ready cluster on-demand? We've got you covered! We built graph db management tools so you don't have to! See CPU, Memory and Disk utilization at glance. Get access to configs, logs, backup your database & restore snapshots.
             | About
            HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs. While a persistent memory model designed mostly for knowledge management, AI and semantic web projects, it can also be used as an embedded object-oriented database for Java projects of all sizes. Or a graph database, or a (non-SQL) relational database. HyperGraphDB is a storage framework based on generalized hypergraphs as its underlying data model. The unit of storage is a tuple made up of 0 or more other tuples. Each such tuple is called an atom. One could think of the data model as relational where higher-order, n-ary relationships are allowed or as graph-oriented where edges can point to an arbitrary set of nodes and other edges. Each atom has an arbitrary, strongly-typed value associated with it. The type system managing those values is embedded as a hypergraph and customizable from the ground up.
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| Audience
        Companies and developers looking for a distributed in-memory data processing engine solution
         | Audience
        Developers and companies looking for a multi-cloud graph database management solution for their specific needs
         | Audience
        Anyone who needs an open-source data storage framework based on generalized hypergraphs
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| Company InformationMicrosoft Founded: 1975 United States www.graphengine.io | Company InformationGraph Story Founded: 2014 United States www.graphstory.com | Company InformationKobrix Software Founded: 2015 United States hypergraphdb.org | ||||
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| Integrations
            
                
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    Amazon Web Services (AWS)
            
            
         
            
                
    Google Cloud Platform
            
            
         
            
                
    Google Compute Engine
            
            
         
            
                
    Microsoft Azure
            
            
         | Integrations
            
                
    Amazon Web Services (AWS)
            
            
         
            
                
    Google Cloud Platform
            
            
         
            
                
    Google Compute Engine
            
            
         
            
                
    Microsoft Azure
            
            
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