What’s New in Neo4j Databridge [April 2017]
By Bryce Merkl Sasaki
April 27, 2017 6 mins read
Since our first post a few months back, Neo4j-Databridge has seen a number of improvements and enhancements. In this post, we’ll take a quick tour of the latest features. Streaming Endpoint Although Databridge is primarily designed for bulk data import,… Read more →
Keywords: binary protocol bolt data import data resources Databridge graph database GraphAware graphconnect neo4j streaming endpoint
The Top 10 Can’t-Miss Speakers at GraphConnect Europe [2017 Edition]
By Bryce Merkl Sasaki
April 11, 2017 6 mins read
You already know the top nine reasons you should attend GraphConnect Europe this year, but besides the fantastic networking opportunities with some of the world’s most advanced graph database developers, architects and CTOs, there’s one reason that outshines them all:… Read more →
Keywords: Airbnb Capgemini UK configuration management data science Deutsche Bahn graphconnect Kubernetes machine learning Orange Telia Company
This Week in Neo4j – 8 April 2017
By Mark Needham
April 8, 2017 5 mins read
Welcome to this week in Neo4j, where we round up what’s been happening in the world of graph database in the last seven days. This week we look at how to create a Twitter clone using Neo4j, the Neo4j data… Read more →
Keywords: APOC cypher D3.js data science docker Gephi jqassistant Jupyter malware analysis PageRank
9 Reasons Why You Need to Attend GraphConnect Europe in 2017
By Bryce Merkl Sasaki
April 6, 2017 5 mins read
We’ve been busy on this side of the Atlantic and we’re happy to formally invite you to GraphConnect Europe taking place at the Queen Elizabeth II Centre in London on 11th May 2017. It will certainly be Europe’s largest graph… Read more →
Keywords: Airbnb Capgemini UK cypher data journalism data modeling Deutsche Bahn graphconnect NYU QEII Centre Recommendation Engine
This Week in Neo4j – 25 March 2017
By Mark Needham
March 25, 2017 5 mins read
Welcome to this week in Neo4j where we collect the most interesting things that have happened in the world of graph databases over the last 7 days. If you’ve got something that you’d like to see featured in a future… Read more →
Keywords: APOC arrows cypher data import data journalism DC/OS graph visualization python twin4j twitter
The 5-Minute Interview: Clark Richey, CTO & Co-Founder of FactGem
By Rachel Howard
March 24, 2017 4 mins read
“The thing we love most about Neo4j is that it’s truly the only native property graph on the market that does what it says it’s supposed to do,” said Clark Richey, CTO and Co-Founder of FactGem. There are a number… Read more →
Keywords: 5-minute interview cypher data insights data model data warehouse graph data visualization native graph database native property graph Neo4j Browser neo4j training
The 5-Minute Interview: Chuck Kane, Director of Global Solutions at Pitney Bowes
By Rachel Howard
March 17, 2017 3 mins read
“Moving from relational to graph, it takes time to learn to step back from your data and ask, ‘What more can I do?’” said Chuck Kane, Director of Global Solutions at Pitney Bowes. The company partnered with Neo4j to provide… Read more →
Keywords: 5-minute interview AML Connected Data Data Relationships fraud detection graph database neo4j pattern analysis Pitney Bowes relational database
This Week in Neo4j – 4 March 2017
By Bryce Merkl Sasaki
March 4, 2017 3 mins read
Welcome to the 2nd edition of This Week in Neo4j! If you’ve got any ideas for things we should cover in future editions, I’m @markhneedham on Twitter or send an email to devrel@neo4j.com. Contributing to Neo4j: Florent Biville Florent Biville… Read more →
Keywords: Airbnb APOC AWS cypher Elastic Kafka PHP RNeo4j ruby on rails twin4j
The 5-Minute Interview: Duncan Grant, EMEA Sales Engineer, Cambridge Intelligence
By Rachel Howard
February 24, 2017 3 mins read
“The great thing about Cypher and Neo4j is that you can start working with them easily, even without knowing everything about them,” said Duncan Grant, EMEA Sales Engineer at Cambridge Intelligence. Grant first became familiar with Neo4j when he started… Read more →
Keywords: 5-minute interview company network cypher graph database graph visualization Keylines neo4j Network Visualization trade networks trade-mapping
From the Neo4j Community: January 2017
By Rachel Howard
February 14, 2017 5 mins read
The year is off to a great start when to comes to the Neo4j community. If this month is any indication of what’s to come, then we know that 2017 will be a big year for Neo4j projects, drivers and… Read more →
Keywords: apache spark cypher docker GraphX IBM POWER8 Neo4j Community Panama Papers python sql TrumpWorld
Oracle RDBMS + Neo4j: Migrate All the Data into Neo4j
By Bryce Merkl Sasaki
January 31, 2017 4 mins read
There are many use cases and scenarios where it makes sense to use Oracle RDBMS in tandem with the Neo4j graph database, whether you’re migrating a subset of data or constantly syncing both graph and relational datasets. However, sometimes circumstances… Read more →
Keywords: graph database neo4j Oracle Oracle RDBMS product data management rdbms SAP schleich Structr supply chain management
2016: The Year in Neo4j Drivers
By Bryce Merkl Sasaki
January 26, 2017 5 mins read
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
Analyzing the BuzzFeed TrumpWorld Dataset with Neo4j
By Bryce Merkl Sasaki
January 19, 2017 8 mins read
Update: The Google Doc source and structure changed, we updated the import statements and queries on the trumpworld-graph GitHub repository. I came across this tweet by Sanchez Castro which I am more than happy to support. Hey @neo4j please do… Read more →
Keywords: BuzzFeed cypher data journalism Donald Trump graph database icij investigative journalism neo4j Panama Papers TrumpWorld
WayBlazer Cognitive Computing Application Powered by IBM Watson & Neo4j
By Rachel Howard
December 15, 2016 < 1 min read
Editor’s Note: This presentation was given by Ivan Portilla at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: The three eras of computing What is cognitive computing? What’s new with Watson? Streamlining travel with Wayblazer
Keywords: Bluemix CAPI Flash cognitive computing cypher embodied cognition graph technology graphconnect IBM Watson POWER8 WayBlazer
The 5-Minute Interview: Megan Kvamme, CEO at FactGem
By Rachel Howard
December 9, 2016 3 mins read
For this week’s 5-Minute Interview, I spoke with Megan Kvamme, CEO at FactGem. Megan and I caught up at GraphConnect San Francisco last October. Here’s what we discussed: How does FactGem use Neo4j? Megan Kvamme: We built FactGem on top… Read more →
Keywords: 5-minute interview data fabric Data Relationships Data Visualization graph database graphconnect neo4j nosql nosql database sustainable competitive advantage
The 5-Minute Interview: Christophe Willemsen, Senior Consultant at GraphAware
By Rachel Howard
November 25, 2016 3 mins read
For this week’s 5-Minute Interview, I chatted with Christophe Willemsen, Senior Neo4j Consultant at GraphAware in London. Christophe and I spoke at GraphConnect San Francisco last October. Here’s what we discussed: Talk to me about how you use Neo4j. I’m… Read more →
Keywords: 5-minute interview Airbnb apache spark cypher elasticsearch GraphAware JVM natural language processing Recommendation Engine relational database
Couchbase & JDBC Integrations for Neo4j 3.x
By Bryce Merkl Sasaki
November 22, 2016 4 mins read
Editor’s Note: This presentation was given by Lorenzo Speranzoni at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: Converting JSON documents into nodes Couchbase integration architecture How the JDBC driver makes use of the Bolt… Read more →
Keywords: bolt Couchbase fraud detection graph database graphconnect jdbc json neo4j 3.0 Recommendation Engine Spotify
Why We Just Raised a $36M Series D – and What’s Next for the Graph Space
By Bryce Merkl Sasaki
November 10, 2016 7 mins read
I’m incredibly excited to announce that the Neo4j team has just raised $36 million in a series D funding round. I am glad to welcome Greenbridge Investment Partners to the graph of Neo4j investors, and I’d like to thank all… Read more →
Keywords: connected enterprise data model DB Engines graph graph database graph technology graphconnect Neo4j 3.1 nosql open source
The Neo4j-Tableau Integration You’ve Been Asking for
By Bryce Merkl Sasaki
October 27, 2016 4 mins read
Based on the excellent work of our partner Ralf Becher from TIQ Solutions, a Qlik, Tableau and Neo4j expert, we are very happy to announce today the public availability of a first version of our Neo4j-Tableau integration. You can find… Read more →
Keywords: bolt cypher GitHub Pages Graph Data jdbc JDBC driver neo4j tableau Tableau Data Extract Web Data Connector
Enterprise Data Management with Graphs
By Bryce Merkl Sasaki
October 26, 2016 10 mins read
Editor’s Note: This presentation was given by Axel Morgner at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: Data management challenges faced by enterprises The first step to enterprise data management: data integration The best… Read more →
Keywords: content management system data integration data management data model document management enterprise data management graph platform graphconnect microservices Structr
Revealing Hidden Connections in the Panama Papers with Tom Sawyer Perspectives (Part 2)
By Bryce Merkl Sasaki
October 17, 2016 4 mins read
Tom Sawyer Software was a Silver sponsor of GraphConnect San Francisco on October 13th, 2016. The Offshore Leaks Database Challenge In our blog post from last week, we walked you through our Panama Papers example application built with our flagship… Read more →
Keywords: Big Data Data Visualization fraud graph visualization money laundering offshore leaks Panama Papers tax evasion tom sawyer perspectives tom sawyer software
Uncovering Secrets in the Offshore Leaks Database with Tom Sawyer Perspectives (Part 1)
By Bryce Merkl Sasaki
October 12, 2016 5 mins read
Tom Sawyer Software is a Silver sponsor of GraphConnect San Francisco. Meet their team on October 13-14th at the Hyatt Regency SF. The Offshore Leaks Database Challenge The Panama Papers investigation and resulting Offshore Leaks database present an interesting challenge… Read more →
Keywords: Big Data data integrity Data Visualization graph visualization graphconnect money laundering offshore leaks Panama Papers tom sawyer perspectives tom sawyer software
Next-Generation Neo4j Hosting on AWS with GrapheneDB
By Bryce Merkl Sasaki
October 11, 2016 7 mins read
GrapheneDB is a Bronze sponsor of GraphConnect San Francisco. Meet their team on October 13-14th at the Hyatt Regency SF. With the Neo4j community gearing up for GraphConnect San Francisco – the most important event in the graph database ecosystem… Read more →
Keywords: AWS bolt cloud cypher database management GrapheneDB language drivers neo4j hosting Neo4j performance stored procedures
Using the Power of Graphs for Enterprise Metadata Management
By Bryce Merkl Sasaki
October 10, 2016 2 mins read
Pitney Bowes is a Silver sponsor of GraphConnect San Francisco. Meet their team on October 13-14th at the Hyatt Regency SF. Data is an asset – we’ve been hearing that for years, but we’re still not ready to treat it… Read more →
Keywords: data lineage enterprise metadata finance graph database graph technology graphconnect metadata metadata management Pitney Bowes Retail
Introducing GraphAware Databridge: Graph Data Import Made Simple
By Bryce Merkl Sasaki
October 6, 2016 9 mins read
GraphAware is a Gold sponsor of GraphConnect San Francisco. Meet their team on October 13-14th at the Hyatt Regency SF. Introduction Until now, Neo4j users wanting to import data into Neo4j have been faced with two choices: Create Cypher statements… Read more →
Keywords: csv cypher data import etl GraphAware jdbc json Microsoft SQL Server Oracle relational database