GraphNews

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...

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The full sample can be found on Github : https://github.com/TimLariviere/Sample-FSharp-AzureCosmosDb

Did you ever dream about becoming a famous detective? A new (teenage, possibly) Sherlock Holmes? Well, in the area of Data Modeling you now have good chances of showing off how good you are at detecting. What? Well, detecting the data models from evidence, of course.

There have been some exciting developments of late in the Semantic Web and Technology space. Semantic Technology trends in 2018 will continue to advance many of the trends discussed in 2017 and build upon a number of new changes just entering the marketplace.

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 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...

UC San Diego Professor to Spearhead TigerGraph’s Technical Innovation and Strategy for its Graph Analytics Platform

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%.

A talk with Andrea Volpini about the Web, AI, data, WordLift and a bit of transcendental meditation.

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

Blog Big Data Analytics Hadoop Spark Python

“Big data” grows bigger every year, and today’s enterprise leaders critically need to generate insight from their existing data.

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

Multi-hop reasoning is an effective approach for query answering (QA) over incomplete knowledge graphs (KGs). The problem can be formulated in a reinforcement learning (RL) setup, where a...

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. […]

We’re pleased to announce the start of a multi-part series of posts for Amazon Neptune in which we explore graph application datasets and queries drawn from many different domains and problem spaces. Amazon Neptune is a fast and reliable, fully-managed graph database, optimized for storing and querying highly connected data. It is ideal for online […]

Azure Cosmos DB is Microsoft's globally distributed, multi-model database service for mission-critical workloads.

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 ...

Learn how to create a graph with the Azure Cosmos DB Graph API.