Recently RedisGraph published a blog [1], comparing their performance to that of TigerGraph’s, following the tests [2] in TigerGraph’s benchmark report [3], which requires solid performance on 3-hop, 6-hop, and even 10-hop queries. Multi-hop queries on large data sets are the future of graph analytics....

Ontotext is releasing GraphDB 8.7 - the latest version of its semantic graph database adding support for concept-matching in knowledge graphs thanks to a new plugin returning similar terms

Ontotext’s GraphDB powers http://www.legislation.gov.uk and https://data.gov.uk/ and helps the service reach a larger public.

Ontotext announces the release of GraphDB 8.5 – the latest version of its semantic graph database that is even more efficient and faster in loading, processing and updating vast amounts of data.

J.P. Morgan lowers its rating to neutral from overweight for Oracle shares, citing negative results in a tech spending survey.

A blog about my work and fun with Neo4j, the world's leading graph database platform.

Polyglot Persistence at Netflix - Wednesday, March 14, 2018

Cause getting your JSON-LD should be simple

In this instalment of the QuickGraph series, I’ll show how to map a graph stored in Neo4j to an ontology (or schema, or vocabulary…) using the neosemantics extension.

Redis is best known as a key-value store – a very fast, in-memory key-value store. But the folks developing the technology at Redis Labs have big plans to

This case study shares how Refinitiv used ArangoDB to build a sophisticated Business Intelligence Platform.

This release candidate is the first one with a cluster-ready ArangoSearch integration, the long awaited GeoJSON support and Google’s S2 Geo Index.

Elixir Client for Gremlin (Apache TinkerPop™). Contribute to Revmaker/gremlex development by creating an account on GitHub.

This VLDB'15 paper is authored by people from the Cosmos DB team and Microsoft research. The paper has "DocumentDB" in the title because Do...

Excited to learn that we won the VLDB 2018 Best Paper Award! "The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing" https://t.co/F5rR8ND5NQ @queryproc @semihsalihoglu @lintool @ozsu— Siddhartha Sahu (@sdht0) August 16, 2018

Learn how to find similar items in the Knowledge Graph with machine learning.

We are pleased to announce that Spring Data Gremlin is now available on Maven Central and source code on GitHub. This project provides Spring Data support for Graph databases that use Gremlin as a ...

The Stardog Studio 1.0.0 Beta is here! Studio 1.0.0 is the next generation of the Knowledge Graph IDE featuring a re-imagined editing environment for #SPARQL including introspections and auto-completion. Try it yourself here: https://t.co/SbsHRQBOqD pic.twitter.com/i1zqtBz3J3— Stardog (@StardogHQ) August 17, 2018

Stardog Studio 1.0.0 Beta is out now! The next generation of the Knowledge Graph IDE with a re-imagined editing environment for #SPARQL. Manage databases and security, author and execute saved queries from a simple to use interface. Try it now: https://t.co/SbsHRQkd23 pic.twitter.com/gmVBYqa3E3— Stardog (@StardogHQ) August 22, 2018

We’re happy to announce release of Stardog Studio 0.1.0. Read on for the good stuff.

Inheritance and Generic Types For Your GraphQL Schemas

Alethio’s data scientists dig into the Ethereum blockchain to identify the major players across the transaction network. Leveraging the…

Recently, LogicGate’s engineering team undertook the effort to migrate our application from a relational database to a graph database. To…

The year of the graph is here. Do you really need a graph database, and, if yes, how do you choose one?

Explore everything that's happening in the Neo4j community for the week of 19 May 2018 including the release of Neo4j 3.4 and Neo4j is now available on Google Cloud Launcher. We also have the GQL proposal, a deep dive into the new DateTime data type, and more.

Discover what's new in the Neo4j community for the week of 12 May 2018, including a hands on tutorial of Neo4j Bloom, a new release of Popoto – the visual query builder for Neo4j. We also learn how to build a personalised recommender as well as parse Neo4j’s query log.