Graphs at Scale: Scale Out Neo4j Using Apache Mesos and DC/OS
By Jocelyn Hoppa
July 3, 2018|
Reading time: 9 minutes
Editor’s Note: This presentation was given by Johannes Unterstein at GraphConnect Europe in May 2017. Presentation Summary In this talk, Johannes Unterstein walks you through the mechanics and advantages of using Apache Mesos and DC/OS (data center operating system) for… Read more →
Keywords: Apache Mesos • Causal Clustering • Container orchestration • cypher • DC/OS • graphconnect • machine learning • Mesosphere • microservices • twitter
The ROI on Connected Data:
Extract More Value from Existing Data Using Graphs [+ Telia Case Study]
By Jocelyn Hoppa
June 18, 2018|
Reading time: 5 minutes
From LinkedIn to Facebook to Google, top companies are driving their businesses using graphs. And use cases span industries as well. What those new to graph technology may not understand is that creating a graph does not require starting from… Read more →
Keywords: Big Data • Causal Clustering • Connected Data • data lake • data model • graph database • graph platform • graph technology • Oracle • rdbms
The Neo4j JDBC Driver 3.3.1 Release Is Here [+ Examples]
By Bryce Merkl Sasaki
June 14, 2018|
Reading time: 5 minutes
Our team at LARUS has been quite busy since the last JDBC driver release. Today, we’re happy to announce the 3.3.1 release of the Neo4j-JDBC driver. The release has been upgraded to work with recent Neo4j 3.3.x versions and Bolt… Read more →
Keywords: bolt • Causal Clustering • causal consistency • java • Java Naming and Directory Interface • jdbc • JDBC driver • JNDI • Matlab • Pentaho Kettle
Achievement Unlocked:
1,000 Neo4j Certified Professionals
By Mark Needham
March 8, 2018|
Reading time: 3 minutes
In January 2016 we launched the first-ever Neo4j Certification for professionals so that Neo4j experts could prove their know-how, and this week saw the 1000th person pass the test. The 1000th person to pass the test was Gábor Szárnyas, our… Read more →
Keywords: bolt • Causal Clustering • cypher • data import • data modeling • database security • language drivers • neo4j certification • property graph model • user-defined procedures
This Week in Neo4j – Azure, Geneaology, Docker
By Mark Needham
January 6, 2018|
Reading time: 4 minutes
Happy New Year everybody and welcome to our first version of TWIN4j in 2018. I hope you had an enjoyable Christmas and New Year and managed at least a few days not working. My extended family had two babies experiencing… Read more →
Keywords: Causal Clustering • digital humanities • geneaology • map projections • pattern comprehensions • twin4j
Beta Release: Java Driver with Async API for Neo4j
By Bryce Merkl Sasaki
December 8, 2017|
Reading time: 6 minutes
Introduction In this article I would like to introduce the new 1.5.0-beta03 pre-release version of the Bolt Java driver for Neo4j which is now built on an asynchronous, Netty-based infrastructure. Previous versions of the driver used blocking I/O, which meant… Read more →
Keywords: bolt • Causal Clustering • graph database • java • Java 8 • java driver • maven • neo4j • Netty • Spring Data
How to Use Kubernetes to Quickly Deploy Neo4j Clusters
By Mark Needham
November 15, 2017|
Reading time: 5 minutes
As part of our work on the Neo4j Developer Relations team, we are interested in integrating Neo4j with other technologies and frameworks, ensuring that developers can always use Neo4j with their favorite technologies. One of the technologies that we’ve seen… Read more →
Keywords: Causal Clustering • Container orchestration • distributed systems • google • helm • Kubernetes
This Week in Neo4j – 22 July 2017
By Mark Needham
July 22, 2017|
Reading time: 4 minutes
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|
Reading time: 3 minutes
“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… Read 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|
Reading time: 2 minutes
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… Read 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|
Reading time: 5 minutes
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… Read 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|
Reading time: 15 minutes
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… Read 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|
Reading time: 4 minutes
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… Read 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|
Reading time: 3 minutes
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,… Read 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|
Reading time: 3 minutes
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… Read 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|
Reading time: 9 minutes
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.… Read 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|
Reading time: 4 minutes
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… Read 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|
Reading time: 3 minutes
“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… Read 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|
Reading time: 5 minutes
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… Read 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|
Reading time: 2 minutes
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,… Read more →
Keywords: Causal Clustering • cypher • GA release • graph database • graph technology • graphconnect • LDAP integration • Neo4j 3.1 • Neo4j Browser • opencypher
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