Graph Story can help get answers in real-time, scale cost-effectively, and without long-term contracts. Graph Story can help users be successful in building graph-powered application. Users can Get access to a proven and scalable option to manage complex, highly-connected data. Graph Story has technical experts and advanced tools to monitor and help optimize databases for optimal performance. Users talk to real human beings who built the platform.
None of Graph Story plans artificially limit the amount of data users can store or request. No arbitrary caps on the number of nodes or relationships. It runs daily, weekly, [...]
InfoGrid is a Web Graph Database with a many additional software components that make the development of REST-ful web applications on a graph foundation easy. InfoGrid is open source, and is being developed in Java as a set of projects. As powerful as InfoGrid is, it derives much of its power from just a handful of core ideas. Users can develop perfectly ﬁne InfoGrid applications with applying just the ﬁrst two ideas. But the more of these code ideas users apply, the more value users get out of InfoGrid.
All information in InfoGrid is represented as objects, called MeshObjects. Each MeshObject has a unique identiﬁer, [...]
Weaver Alpha is a scalable, fast, consistent graph store. Weaver is a distributed graph store that provides horizontal scalability, high-performance, and strong consistency. Weaver enables users to execute transactional graph updates and queries through a simple python API. For example, users can create a user (node) and a link (edge) of a specified type in a single transaction. Users can also query a user’s friends-of-friends in another transaction. Weaver dynamically migrates portions of the graph across shards to maintain graph locality and minimize communication. Weaver also enables users to cache results of graph computation at the [...]
FlockDB is a distributed graph database for storing adjancency lists, with goals of supporting: a high rate of add/update/remove operations; potientially complex set arithmetic queries; paging through query result sets containing millions of entries; ability to “archive” and later restore archived edges; horizontal scaling including replication; and online data migration. FlockDB is much simpler than other graph databases such as neo4j because it tries to solve fewer problems. It scales horizontally and is designed for on-line, low-latency, high throughput environments such as web-sites. Twitter uses FlockDB to store social graphs (who follows [...]
grapholytic by MIOsoft is the leading approach to get the best results out of the combination of Graph DB and highly scalable object database architecture. It is the only database with automatic based distribution of graphs to cluster nodes using advanced machine learning algorithms. No Limits for scalability. Binding Data to CPU power: enabling parallel processing and advanced performance for analytical processing. Combining In-Memory Computation and Low Cost storage for enterprise computation scenarios.
Users do not want to write lines and lines of SQL code to find the nearest way between two places. Users do not want [...]
Apache Giraph is an iterative graph processing system built for high scalability. For example, it is currently used at Facebook to analyze the social graph formed by users and their connections. Giraph originated as the open-source counterpart to Pregel, the graph processing architecture developed at Google and described in a 2010 paper. Both systems are inspired by the Bulk Synchronous Parallel model of distributed computation introduced by Leslie Valiant. Giraph adds several features beyond the basic Pregel model, including master computation, sharded aggregators, edge-oriented input, out-of-core computation, and more. With a steady development cycle [...]
Dgraph is an open source, scalable, distributed, highly available and fast graph database, designed from ground up to be run in production. Dgraph started with the idea that every startup should be able to have the same level of technology as run by big giants. Dgraph was designed from ground-up to allow data sharing, horizontal scalability, consistent replication, and a fast and distributed architecture. By building a truly robust piece of technology, Dgraph can have users run only one database, which allows arbitrarily complex queries while providing rock solid performance.
The recent release of Dgraph is packed with [...]
ThingSpan can help to find the way out of any graphical trouble that can come across. It is a purpose-built, scalable graph analytics platform that integrates with Apache Spark and HDFS (Hadoof Distributed File System). If the graph is very large and is distributed over a very complex data then ThingSpan can help to navigate the path and follow queries to find the right way. It supports parallel pattern finding and predictive analytics in combination with Spark components such as MLlib, Graph X and Spark SQL. With the help of ThingSpan a single logical view of all the data representation can be achieved. The objects can then be created, read, updated, [...]