Amazon Neptune now supports the Apache TinkerPop 3.4.1 release. In this post, you will find examples of new features in the Gremlin query and traversal language such as text predicates, changes to valueMap, nested repeat steps, named repeat steps, non-numerical comparisons, and changes to the order step. It is worth pointing out that TinkerPop 3.4 […]

#graphDB #Amazon Neptune now supports full-text search integration with Elasticsearch clusters. Using Elasticsearch users can run full-text search query types such as match query, intervals query, query strings using extensions to Gremlin & SPARQL #AWS

The latest Amazon Neptune release brings together a host of capabilities that enhance developer productivity with graphs. This post summarizes the key features we have rolled out and pointers for more details. Getting started This new engine release will not be automatically applied to your existing cluster. You can choose to upgrade an existing cluster […]

#Amazon Neptune #graphDB now offers a workbench, an in-console experience to query your graph. It lets users query Neptune w #Jupyter #notebooks using Gremlin or SPARQL #datascience #cloud #knowledgegreaph #AI #database AWSreinvent2019

This first general textbook An introduction to ontology engineering has as main aim to provide the reader with a comprehensive introductory overview of...

Learn how the HPE Ezmeral software portfolio can empower your business with intelligence, automation, security, and the ability to modernize your applications—fueling data-driven digital transformation, from edge to cloud.

Analyzing US Lobbying Data in #Neo4J #graphdatabase

https://t.co/7T0EOs6yG7 - Made this tiny tool to discover related subreddits.The graph is created based on jaccard similarity between two subreddits. Jaccard similarity is constructed from set of shared users.Source code https://t.co/J9r1jl1JjR pic.twitter.com/4hcg7mI4sg— Andrei Kashcha (@anvaka) January 10, 2019

.@CamSemantics announces Anzo #GraphDB v.2: RDF*, Custom SDK, Free Edition. "Imagine being able to do labeled properties, just like you do in Neo4j & other property graphs, but also have capability of RDF to help w ontologies & inferencing" #data #tech

powered applications with minimum friction.Broad compatibility with existing and future software developm

Read this blog to learn about the exciting news that Neo4j Aura is now available on Google Cloud Platform.

grade features and scale. We appreciate your candid stories and collaboration, and we’ve used this to create a better solution. As such, we’re excited to announce Neo4j for Graph Data Science™, the first data science environment built to harness the predictive power of relationships for enterprise deployments. Neo4j for Graph Data Science is an ecosystem of tools that includes: With Neo4j for Graph Data Science, data scientists are empowered to confide

Learn more about Neo4j Labs, an innovative incubator with a focus on integrations, tools and libraries that extend the Neo4j Graph Platform.

Personally, I am always most excited by technology when it can have a positive impact on society and the lives of ordinary people. Curing…

AnzoGraph is a fast, horizontally scalable, OLAP graph database that brings a wealth of analytics capabilities to large graphs

A technologist and DZone Leader sat down with an expert in big data and NoSQL databases to discuss his creation, AnzoGraph, and how it applies to big data.

Learn all about the positive vote to include Cypher queries and graph algorithms on DataFrame-based property graphs as part of Apache Spark 3.0.

We are super excited to share the latest upgrades to ArangoDB which are now available with ArangoDB 3.5. With the fast-growing team, we could build many new and long-awaited features in the open-source edition and Enterprise Edition. Get ArangoDB 3.5 on our download page and see all changes in the Changelog. Need to know more […]

Phew, it’s been quite a ride, but today the whole team is super excited to announce a $10 million Series A funding for ArangoDB, our native multi-model database. We feel honored and frankly a bit proud that Bow Capital is leading this investment round and shows their trust in our product, team, and amazing community. […]

The drug discovery process is hugely data-intensive, making it an ideal application for artificial intelligence (AI) and machine learning. But…

Working for over two decades in Business Intelligence and Analytics nothing has bothered me more than being tied to a relational model.

Augmented analytics tools, NLP search and graph analytics are the top trends for 2019 and beyond. Experts say augmented analytics and NLP are transforming how enterprises consume data and derive in...

AWS Data Migration Service (DMS) now supports migrating graph data from relational sources to Amazon Neptune. The AWS Database Migration Service (AWS DMS) enables you to migrate data from one data source to another. Using relational databases as source and Neptune as destination allows customers to copy their connected data into Neptune for graph queries.   Customers using both relational and graph databases today manually load their data into Neptune. DMS minimizes the manual effort to carry out the workflow. Using DMS, you can configure a destination endpoint to existing Neptune databases. DMS will carry out a full copy of data from relational databases to Neptune. The DMS workflow allows you to target either a RDF model or a property graph model by specifying the appropriate mapping file for each data model. DMS version 3.3.2 supports Amazon Neptune as the destination endpoint. You can configure DMS using the AWS Management Console, AWS SDK or CLI. You will be ch

The Azure Cosmos DB team is excited to announce version 3.0 of the .NET SDK, now in public preview and open sourced on GitHub!

Cosmos DB's entry level pricing has come way down, opening up the service to a much broader audience. And Azure Machine Learning gets new versatility, including usability from virtually all Python-language programming environments.

We're excited to announce the public release of Akutan, a distributed knowledge graph store, under the Apache 2.0 open source license. Akutan is the result of four person-years of exploration and engineering effort, so there's a lot to unpack here! This post will discuss what Akutan is, how it's implemented, and why we've chosen to release it as open source.

Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. Neptune supports the W3C’s graph model RDF, and its query language SPARQL. SPARQL 1.1 Federated Query specifies an extension to SPARQL for running queries distributed over different SPARQL endpoints.

Read this blog to learn how graphs revolutionized how hackers attack, and how SpecterOps uses Neo4j to access a company's cybersecurity measures.