Websites using graph databases as a keyword

Objectivity, Inc. delivers massively scalable and highly performant graph analytics platforms that are proven to power mission-critical applications for the most demanding and complex datasets. With a rich history of serving Global 1000 customers and partners, Objectivity holds deep domain expertise in fusing vital information from massive volumes of data and sources to discover unknown connections at speed and scale. Objectivity’s technology enables enterprises to make better decisions with precision, scale and efficiency.

Popoto is a JavaScript library built with d3.js providing a graph search interface on Neo4j databases

Quick answering time for complex queries, Explore relationships in a databases, Analyze relationships in a database, Graph exploration, Analyze data, Graph database, Very large data sets, .NET Graph Database, DEX mobile, Sparksee mobile, graphs for mobile, mobile applications, database for iOS, database for BB10

NLP2RDF is a Community project bootstrapped by LOD2 that is developing the NLP InterchangeFormat (NIF) . NIF aims to achieve interoperability between Natural Language Processing (NLP) tools, language resources and annotations. . The output of NLP tools can be converted into RDF and used in the LOD2 Stack or other graph databases. Currently a NIF 2.0 Version is created and…

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The #1 Trusted Business List & Email Addresses Supplier. Buy US, UK, India, Singapore, South Africa, Australia, and more quality email databases and sales leads! All mailing lists are new, fresh and updated.

It's time to play with your DATA. Introducing the new generation of Graph Analytics tools that works the way brains do. Find and understand the undiscovered connections in your database. Arcade works with all the most popular Graph Databases.

Just image if it was possible to melt together a transactional database and a memory allocator. If you could use simple calls like 'New' and 'Delete' to update the database instead of complex SQL statements. What if the same database was under 1MB in size, could do 100,000 transactions per second (tps) and was scalable from 512KB to 256TB. What if it could support 'Big data' applications, embedded applications, graph databases, IoT, JSON, key value pairs, object oriented databases, relational databases, XML and a whole host of other technologies. Well, there is no need to dream about it anymore because it's here and it's called 'Rockall-DB'.

Graph Databases, the definitive book on graph databases, written by Ian Robinson, Jim Webber and Emil Eifrem, and published by O'Reilly Media.