This Week in Neo4j – 22 July 2017
By Mark Needham | July 22, 2017
This week’s featured community member Leila Haddou, Data Journalist for The Times and Sunday Times. We also have projects around Game of Thrones, MDM, and Cypher query profiling.
Keywords: bolt • Causal Clustering • cypher • Game of Thrones • genetics • nlp • perl • twin4j
The 5-Minute Interview: Anirban Chatterjee & Keshav Ranganathan, IBM
By Rachel Howard | June 30, 2017
“As the relationship really started to take shape, we realized what the two technologies could solve much more effectively when they worked together,” said Keshav Ranganathan, Senior Offering Manager at IBM Power Systems. The Neo4j partnership with IBM Power Systems… Learn More →
Keywords: 5-minute interview • Big Data • CAPI Flash • Causal Clustering • graph database • graphconnect • IBM • ibm power systems • IBM POWER8 • x86
Neo4j Is Now Available on the AWS Marketplace
By Bryce Merkl Sasaki | June 8, 2017
Many Neo4j users host their databases in on-premise data centers, but there’s an increasing trend of utilizing cloud-based hosting providers. EC2 on Amazon Web Services has always been a popular choice given its success in the market, so we wanted… Learn More →
Keywords: amazon web services • AWS • aws marketplace • Azure marketplace • Causal Clustering • cloud • Connected Data • EC2 • microsoft azure • neo4j
How to Deploy Neo4j on Microsoft Azure, a Step-by-Step Guide [Azure Series, Part II]
By Bryce Merkl Sasaki | May 31, 2017
In the first post of this series covering Neo4j on Microsoft Azure, we announced the availability of Neo4j in the Azure Marketplace. Today, we’ll go into more detail on how to deploy Neo4j in your Azure environment. Step 1: Sign-Up… Learn More →
Keywords: Azure marketplace • bolt • Causal Clustering • cloud • high availability • microsoft azure • neo4j • Neo4j Browser • SSL • virtual network
Neo4j 3.2 GA Release: Enterprise Scale, Native Performance & More
By Bryce Merkl Sasaki | May 11, 2017
We are proud to announce the general availability release of Neo4j 3.2. This release marks an expansion in global scale, enterprise refinement and all-around performance. It signals that the next generation of graph-powered Internet applications will span the globe. To… Learn More →
Keywords: AWS • Causal Clustering • cluster management • cypher • Kerberos • microsoft azure • multi-data center • native graph database • Neo4j 3.2 • Neo4j Browser
The Engineering Evolution of Neo4j into a Native Graph Database
By Bryce Merkl Sasaki | May 2, 2017
Hi everyone. My name is Dr. Jim Webber. I’m Neo4j’s chief scientist, and I’d like to take a few minutes to talk to you about Neo4j’s evolution from an engineering point of view. Our Origin Story: Overcoming Complicated SQL Queries… Learn More →
Keywords: Causal Clustering • Connected Data • cypher • graph api • graph query language • native graph database • nosql database • recursive JOINs • relational database • sql
GraphConnect Europe Agenda: Everything You Need to Know [2017 Edition]
By Bryce Merkl Sasaki | April 20, 2017
You already have all the reasons you should attend GraphConnect Europe and now you know who the top 10 presenters will be, but now it’s time for the easiest selling point of all: the bottom-to-top agenda of all the keynotes,… Learn More →
Keywords: Airbnb • Apache Mesos • apache spark • Capgemini UK • Causal Clustering • cypher • data journalism • graph technology • graphconnect
This Week in Neo4j – 15 April 2017
By Mark Needham | April 15, 2017
Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. Featured Community Members: Ashley Sun and Rob Schoening Ashley Sun and Rob Schoening This week’s featured… Learn More →
Keywords: Causal Clustering • docker • icij • Jim Webber • lending club • Panama Papers • Reddit • Star Wars • twin4j • twitter
Neo4j on Mesosphere DC/OS
By Bryce Merkl Sasaki | March 15, 2017
Don’t miss Johannes present on scaling out Neo4j using Apache Mesos and DC/OS at the next Neo4j Online Meetup! (dcos)-[:MANAGES]->(instance)<-[:RUNS_ON]-(neo4j) The same day that Neo4j 3.1 was released in December 2016 it also became available as a Mesosphere Universe package.… Learn More →
Keywords: apache kafka • Apache Mesos • apache spark • bolt • Causal Clustering • causal consistency • DC/OS • docker • Marathon • Mesosphere
2016: The Year in Neo4j Drivers
By Bryce Merkl Sasaki | January 26, 2017
Spring is in the Air 2016 was the year when, in April with the availability of Neo4j 3.0 we also introduced our own binary protocol named Bolt. We also provided the first set of officially supported drivers for Bolt, including… Learn More →
Keywords: .NET • bolt • Causal Clustering • django • Elixir • go • Haskell • java • javascript • jdbc • neo4j drivers • PHP • python • ruby • spark
The 5-Minute Interview: Bradley Nussbaum, CEO of AtomRain
By Rachel Howard | January 13, 2017
“Data that isn’t connected just isn’t as useful,” says Bradley Nussbaum, CEO at AtomRain in Los Angeles. The world of big data is no longer just taking notice of graph database technology — they’re taking action to implement it because… Learn More →
Keywords: 5-minute interview • Big Data • Causal Clustering • connected consumer • Connected Data • connected enterprise • graph database • graph technology • neo4j • Recommendation Engine
Neo4j 3.1 GA Release: Causal Clustering, Security & More
By Bryce Merkl Sasaki | December 14, 2016
We are excited to announce our landmark new release of Neo4j 3.1. Neo4j 3.1 introduces a new state-of-the-art clustering architecture and new security architecture to meet enterprise requirements for scale and security. This new release extends the comprehensive set of… Learn More →
Keywords: ACID • Active Directory • bolt • CAPI Flash • Causal Clustering • causal consistency • cypher • GA release • IBM POWER8 • LDAP • Neo4j 3.1
We’re Releasing It Live: Neo4j 3.1 GA Launch Event
By Bryce Merkl Sasaki | December 1, 2016
You already know about Neo4j 3.1 from its beta launch at GraphConnect last October. Now the general availability release of Neo4j is less than two weeks away! That’s right, Neo4j 3.1 will become production ready on Tuesday, 13 December 2016,… Learn More →
Keywords: Causal Clustering • cypher • GA release • graph database • graph technology • graphconnect • LDAP integration • Neo4j 3.1 • Neo4j Browser • opencypher
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