Graph Databases - What's Innovative?
This page shows up to 100 pieces of content which have been tagged Innovative (newest at the top):
Ontotext makes life easier
Ontotext is introducing SQL support to enable easier access to GraphDB, as well as visual migration support from relational databases.
Franz Inc. releases AllegroGraph 7.0
Graph database vendor Franz Inc. has released the latest versions of AllegroGraph, and graph visualisation and discovery engine, Gruff.
GraphQL: a replacement for REST?
During our research on graph databases, one particular piece of open source software has come up repeatedly: GraphQL. But what is GraphQL, really? What are its benefits, and where did it come from? And can it really compete with REST?
Managing data catalogue proliferation
Data catalogues are becoming increasingly popular. Put simply, a data catalogue is a repository of information about a company's data assets ...
TigerGraph is a graph database that has just been formally released. It is targeted at real-time graph analytics.
Graph Update 4: performance, scalability and Neo4j
This article discusses the current and planned features in Neo4j that specifically relate to performance and scalability.
Graph update: GRAKN.AI
GRAKN.AI offers a knowledge base with a knowledge representation system based on Hypergraph theory.
This is the first of several articles on the graph/RDF (and hypergraph) space. This one is generic, the others will be product/vendor specific.
There are relatively few companies that specifically address graph analytics as opposed to analytics within the context of operational applications.
Graphs and GPUs
SYSTAP is implementing its graph database using Nvidia GPUs. This has some serious price/performance benefits for large scale analytics.
Enthusiasm is the SPARQL in your eyes
SPARQLverse is a new analytic graph database developed by SPARQL City and available from both that company and as part of the Actian Analytics Platform.
The return of the associative database?
An open source associative database project in the US means that this technology may be about to make a comeback.
BSP and Graphs
Bulk Synchronous Parallel is a clustered low-cost solution (a la Hadoop) being adopted for graph databases and graph analytics
De-duplication in a graph database
Could you use a graph database for matching? Yes, almost certainly. And, if so, how would that compete with data quality tools?
uRiKA is an appliance for graph analytics which contains a graph database, but what exactly is a graph database or, for that matter, a graph, and why should you care?