Neo4j Adds Visualization Tool to Its Graph Database
Among the Neo4j 3.4 database enhancements are horizontal scaling, 3D geospatial search, performance improvements of more than 50 percent and numerous operational improvements.
New MarkLogic Service Automates DB Query Capacity in Cloud
New software-as-a-service application automatically adds and removes query processing capacity to a database cluster as workload demand rises and falls, resulting in agility and responsiveness for end...
Graph Database Market Expected to Reach 2,409.1 Million USD by 2023
The graph database market size was valued at USD 700.0 Million in 2017 and is expected to reach USD 2,409.1 Million by 2023, at a Compound Annual Growth Rate (CAGR) of 24.0%.
Ontotext's GraphDB 8.7 Offers Vector-Based Concept Matching and Better Scalability, Performance and Data Governance
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
Analyze Amazon Neptune Graphs using Amazon SageMaker Jupyter Notebooks
Whether you’re creating a new graph data model and queries, or exploring an existing graph dataset, it can be useful to have an interactive query environment that allows you to visualize the results. In this blog post we show you how to achieve this by connecting an Amazon SageMaker notebook to an Amazon Neptune database. […]
Azure #CosmosDB @ Build 2018: The catalyst for next generation apps
Today at the Microsoft Build Conference 2018 in Seattle, we are excited to announce several new capabilities all of which are intended to enable you to easily build your mission-critical, globally ...
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 ...
Transform publicly available BigQuery data and Stackdriver logs into graph databases with Neo4j
Learn how to use Neo4j to integrate a BigQuery public dataset with Stackdriver logs into a graph database, to surface new conclusions from complex data.
Entertainment and lifestyle publisher uses Azure Cosmos DB to power recommendation engine, delight 75 million fans
Acquiring an audience for any website isn’t about hooking readers once. It’s about keeping them coming back. With ambitions to grow, Diply—a leading entertainment and lifestyle publisher based in Canada, with offices in Toronto, London, Ontario, and New York City—turned to Microsoft Azure Cosmos DB to drive personalized article suggestions to entice visitors to read more. Diply found Azure Cosmos DB to be cost-effective, reliable, and scalable. The company plans to use its new extensible infrastructure to further improve results with features such as advanced analytics.
How to Create and Query Labeled Property Graphs in AnzoGraph - DZone Database
This article will explain how to create property graphs in AnzoGraph, including loading and inserting properties, and how to query your property graphs.