What’s Waiting for You in the Latest Release of the APOC Library [March 2018]
By Bryce Merkl Sasaki
March 1, 2018 6 mins read
The last release of APOC library was just before GraphConnect New York, and in the meantime quite a lot of new features made their way into our little standard library. We also crossed 500 GitHub stars, thanks everyone for giving… Read more →
Keywords: APOC • cypher • data integration • ElasticSearch integration • graph algorithms • graphconnect • GraphML • HDFS • MongoDB integration • Neo4j Desktop
Neo4j: A Reasonable RDF Graph Database & Reasoning Engine [Community Post]
By Bryce Merkl Sasaki
February 27, 2018 7 mins read
[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] It is widely known that Neo4j is able to load and write RDF. Until now, RDF… Read more →
Keywords: Graph Analytics • labeled property graph • owl • OWL 2 RL • RDF • RDF Schema • reasoning engine • resource description framework • sparql • Triple Store
Retail & Neo4j: Pricing & Revenue Management
By Bryce Merkl Sasaki
January 30, 2018 4 mins read
It’s never been easier for customers to comparison shop. In a matter of minutes, customers can compare prices for a specific product across a dozen stores — and all from the comfort of home. They can even compare prices and… Read more →
Keywords: Connected Data • graph technology • Marriott • neo4j • pricing engine • relational database • Retail • retail pricing • revenue management • sql
Meltdown & Spectre: Current Results from Neo4j Performance Testing
By Bryce Merkl Sasaki
January 26, 2018 3 mins read
As mentioned in our earlier blog post about Meltdown and Spectre, we have been running tests to discover the impact on Neo4j of the patches and workarounds for the Meltdown and Spectre vulnerabilities. The Neo4j engineering team has now completed… Read more →
Keywords: AWS • Intel • ldbc • linux • Meltdown • neo4j • Neo4j performance • Neo4j Support • OS patch • Spectre
Retail & Neo4j: Supply Chain Visibility & Management
By Bryce Merkl Sasaki
January 22, 2018 4 mins read
Now more than ever, supply chains are vast and complex. Products are often composed of different ingredients or parts that move through different vendors, and each of those parts may be composed of subparts, and the subparts may come from… Read more →
Keywords: Connected Data • graph database • graph visualization • neo4j • relational database • Retail • sql • supply chain management • supply chain transparency • supply chain visibility
Retail & Neo4j: Ecommerce Delivery Service Routing
By Bryce Merkl Sasaki
January 17, 2018 4 mins read
As a retailer, if you think keeping up with Amazon is expensive and time-consuming, consider the alternative: extinction. When it comes to delivery and fulfillment, Amazon is the uncontested emperor of ecommerce. Yet, their efficiency in tracking and delivering orders… Read more →
Keywords: Amazon • cypher • eBay • ecommerce • ecommerce delivery • MySQL • Retail • ruby • service routing • service-oriented architecture
What You Need to Know about How Meltdown and Spectre Affect Neo4j
By Bryce Merkl Sasaki
January 16, 2018 3 mins read
UPDATE: Please read this blog post for the most up-to-date information about Neo4j performance testing and results affected by Meltdown and Spectre patches. Following the public announcement of the Meltdown (CVE-2017-5754) and Spectre (CVE-2017-5753 and CVE-2017-5715) security vulnerabilities earlier this… Read more →
Keywords: frequently asked questions • Graph Data • graph database • Intel • Meltdown • neo4j • Neo4j Support • operating system • security vulnerabilities • Spectre
Retail & Neo4j: Personalized Promotion & Product Recommendations
By Bryce Merkl Sasaki
November 6, 2017 7 mins read
Today’s retailers face a number of complex and emerging challenges. Thanks to lower overhead and higher volume, online behemoths like Amazon can deliver products faster and at a lower price, driving smaller retailers out of business. In order to compete,… Read more →
Keywords: Connected Data • Cyber Monday • ecommerce • graph technology • personalized promotion • product recommendations • real-time recommendations • Recommendation Engine • Retail • Walmart
Neo4j Graph Database 3.3 Release: Everything You Need to Know
By Bryce Merkl Sasaki
October 31, 2017 4 mins read
As part of the Neo4j Graph Platform announced at GraphConnect New York last week, we are excited to announce the general availability release of the Neo4j Graph Database version 3.3. At the heart of the Graph Platform is the native… Read more →
Keywords: APOC • Connected Data • cypher • Cypher for Apache Spark • etl • graph algorithms • Graph Analytics • Neo4j Desktop • neo4j graph database • Neo4j Graph Platform
Neo4j: From Graph Database to Graph Platform
By Bryce Merkl Sasaki
October 24, 2017 11 mins read
Today at GraphConnect New York, Neo4j has announced our transformation from the provider of a graph database into the creator of a graph platform. We are making this change to address the evolving needs of customers in their deployment of… Read more →
Keywords: cypher • Cypher for Apache Spark • data integration • graph algorithms • Graph Analytics • graph visualization • native graph database • neo4j • Neo4j Desktop • Neo4j ETL
Accelerating Neo4j with CAPI SNAP from IBM Power Systems
By Bryce Merkl Sasaki
October 23, 2017 5 mins read
The longtime promise of dramatically accelerated computing has arrived on IBM Power Systems servers and the great news is that Neo4j benefits tremendously! I’m sure many people have heard of using GPUs as selected application accelerators. The “what’s new” is… Read more →
Keywords: CAPI • CAPI Flash • CAPI SNAP • data filtering • FPGA • graph database • graphconnect • ibm power systems • IBM POWER8 • nosql
A Note on Native Graph Databases
By Bryce Merkl Sasaki
September 21, 2017 6 mins read
It’s fun to watch the graph database category evolve. From being a seemingly niche category a decade ago (despite the valiant efforts of the Semantic Web community) to a modest – but important – pillar of the data world as… Read more →
Keywords: column store • data model • document store • graph database • graph technology • multi-model database • native computing • native graph database • neo4j • semantic web
RDF Triple Stores vs. Labeled Property Graphs: What’s the Difference?
By Rachel Howard
August 18, 2017 19 mins read
Editor’s Note: This presentation was given by Jesús Barrasa at GraphConnect San Francisco in October 2016. Presentation Summary Resource Description Framework (RDF) triple stores and labeled property graphs both provide ways to explore and graphically depict connected data. But the… Read more →
Keywords: APOC • Connected Data • cypher • graphconnect • index free adjacency • owl • property graph • RDF • semantic web • sparql
Cypher: Write Fast and Furious
By Rachel Howard
August 11, 2017 6 mins read
Editor’s Note: This presentation was given by Christophe Willemsen at GraphConnect San Francisco in October 2016. Presentation Summary In this presentation, Christophe Willemsen covers a variety of do-and-don’t tips to help your Cypher queries run faster than ever in Neo4j.… Read more →
Keywords: .NET • bolt • cypher • graphconnect • java • javascript • neo4j • object mapper • PHP • python
Summer 2017 Release of the APOC Procedures Library
By Bryce Merkl Sasaki
July 25, 2017 5 mins read
It’s summertime, but that doesn’t mean we’re less active building cool stuff for you to use with Neo4j. If you haven’t heard of APOC yet – dubbed “Awesome Procedures On Cypher” – it’s a Swiss Army knife of useful utilities… Read more →
Keywords: APOC • cypher • fuzzy matching • Levenshtein distance • neo4j • Neo4j 3.1 • Neo4j Browser • neo4j-shell • relational database • XML
Graph Technology for Enterprise Master Data Management (MDM)
By Rachel Howard
July 14, 2017 9 mins read
Editor’s Note: This presentation was given by Aaron Wallace at GraphConnect San Francisco in October 2016. Presentation Summary Modern enterprises need to have a full, 360-view of their customers drive their bottom line. This requires the integration of data from… Read more →
Keywords: customer information management • data quality • fraud detection • graphconnect • Knowledge Graph • Master Data Management • MDM • metadata management • Pitney Bowes • single customer view
The 5-Minute Interview: Anirban Chatterjee & Keshav Ranganathan, IBM
By Rachel Howard
June 30, 2017 4 mins read
“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
Financial Services & Neo4j: Anti-Money Laundering
By Bryce Merkl Sasaki
June 26, 2017 4 mins read
Reducing the risk of money laundering presents a similar challenge to that of fraud detection when it comes to today’s financial services landscape. Firms need to know where funds come from and where they are headed, but criminals use indirection… Read more →
Keywords: AML • anti-money laundering • cypher • Data Visualization • financial services • fraud detection • graph technology • money transfer • smurfing • sql
Financial Services & Neo4j: Fraud Detection
By Bryce Merkl Sasaki
June 19, 2017 5 mins read
Identifying and stopping fraudulent activity is harder than ever for financial services organizations. Standard anti-fraud technologies — such as a deviation from normal purchasing patterns — use discrete data. This is useful for catching individual criminals acting alone, but discrete… Read more →
Keywords: Connected Data • cypher • Data Visualization • financial services • Fortune 500 • fraud detection • fraud ring • graph technology • Microsoft SQL Server • relational database
Financial Services & Neo4j: Data Lineage & Metadata Management
By Bryce Merkl Sasaki
May 30, 2017 3 mins read
Regulatory compliance requires financial services firms to have visibility into data lineage, information and process flows. The Sarbanes-Oxley Act (SOX), for example, requires public firms to understand who has access to what data, what data resides in which systems, and… Read more →
Keywords: Bank • data lineage • financial services • Global 500 • graph technology • knowledge base • master data • metadata management • regulatory compliance • Sarbanes-Oxley Act
Financial Services & Neo4j: Financial Asset Graphs
By Bryce Merkl Sasaki
May 24, 2017 4 mins read
In today’s regulatory environment, financial services firms are beginning to experience the impact of graph databases across a number of functions ranging from fighting financial crimes, preventing and responding to cyber threats and ensuring regulatory compliance. Meanwhile, as the continuous… Read more →
Keywords: anti-money laundering • asset graph • cerved • credit rating agencies • credit risk analysis • financial asset • financial services • regulatory compliance • risk management • risk/reward ratio
Neo4j 3.2 GA Release: Enterprise Scale, Native Performance & More
By Bryce Merkl Sasaki
May 11, 2017 17 mins read
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
Relevant Search Leveraging Knowledge Graphs with Neo4j
By Bryce Merkl Sasaki
May 5, 2017 13 mins read
“Relevance is the practice of improving search results for users by satisfying their information needs in the context of a particular user experience, while balancing how ranking impacts business’s needs.”[1] Providing relevant information to the user performing search queries or… Read more →
Keywords: artificial intelligence • conceptnet • ecommerce • elasticsearch • Knowledge Graph • machine learning • natural language processing • product catalog • Recommendation Engine • user experience
The Engineering Evolution of Neo4j into a Native Graph Database
By Bryce Merkl Sasaki
May 2, 2017 5 mins read
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
Graph-Based Enterprise Architecture Management
By Bryce Merkl Sasaki
April 28, 2017 4 mins read
Today, enterprise architects are required to deliver insights quickly and make sense of large amounts of enterprise data (business knowledge, application information, technology assets, etc.). In this process, understanding and modeling interdependencies between entities is key. With relationships at the… Read more →
Keywords: CMDB • enterprise architect • enterprise architecture • enterprise architecture framework • graph visualization • impact analysis • Linkurious • network infrastructure • Network Management • relational database