Neo4j Graph Database 3.5: Everything You Need to Know [GA Release]
By Bryce Merkl Sasaki
November 29, 2018 5 mins read
Speaking on behalf of the Neo4j team, I’m pleased to announce the immediate general availability of Neo4j Graph Database version 3.5 – in both Community and Enterprise Editions. Neo4j 3.5 improves the performance, utilization and security of the Neo4j Graph… Read more →
Keywords: cypher • DevOps • full-text indexing • full-text search • Go programming language • graph database • native graph database • neo4j • Neo4j 3.5 • TLS
Simplicity Wins: We’re Shifting to an Open Core Licensing Model for Neo4j Enterprise Edition
By Bryce Merkl Sasaki
November 15, 2018 2 mins read
TL;DR: Starting with Neo4j 3.5, Enterprise Edition source code will no longer be published to the open source commons, including future versions. This does not impact Neo4j Community Edition. We will continue to deliver the world’s best and most comprehensive… Read more →
Keywords: cypher • graph algorithms • graph database • graph technology • neo4j • Neo4j Community • Neo4j Desktop • Neo4j Graph Platform • open core • open source
We Just Closed the Largest Single Investment in the Graph Space. Now What?
By Bryce Merkl Sasaki
November 1, 2018 5 mins read
I’m thrilled to announce that Neo4j has just closed $80 million in a series E funding round. We are happy to welcome One Peak Partners and Morgan Stanley Expansion Capital to the graph of Neo4j funders. I’d also like to… Read more →
Keywords: ai • artificial intelligence • Connected Data • fraud detection • graph database • graph technology • machine learning • ML • neo4j • Recommendation Engine
Effective Internal Risk Models for FRTB Compliance: Modern Graph Technology Is the Answer
By Jocelyn Hoppa
October 1, 2018 5 mins read
Relational database technology can’t handle what is coming in banking and risk modeling. By the 2020s, Accenture predicts current banking business models will be swept away by a tide of ever-evolving technology and other rapidly occurring changes. The right foundation… Read more →
Keywords: bank regulations • BCBS • data connections • data lineage • data silos • financial services • frtb compliance • graph database • graph technology • risk
Visualizing Enterprise Architecture: 5-Minute Interview with Jessica Dembe & Patrick Elder, Blackstone Technology Group
By Jocelyn Hoppa
September 28, 2018 4 mins read
“Native visualization was something that stood out to us, and we had struggled trying to do the same thing with other tools,” said Patrick Elder, Product Architect at Blackstone Technology Group. Enterprise architecture connects numerous IT assets using information from… Read more →
Keywords: 5-minute interview • data model • enterprise architecture • federal government • graph technology • graphconnect • native visualization • natural language processing • rdbms • SharePoint
Fighting Money Laundering and Corruption with Graph Technology
By Jocelyn Hoppa
September 13, 2018 5 mins read
The shocking revelations of the International Consortium of Investigative Journalists (ICIJ), who released both the Panama and Paradise Papers, as well as the West Africa Leaks, have shown that aggressive tax avoidance and money laundering are a widespread and worldwide… Read more →
Keywords: aml compliance • anti-money laundering • data journalists • graph algorithms • graph technology • graphconnect • Kerberos • native graph database • risk management • Structr
11 Must-See Speakers at GraphConnect 2018 in New York City
By Bryce Merkl Sasaki
August 24, 2018 2 mins read
There are a lot of great reasons to attend GraphConnect 2018, but one of the best reasons is that every year we feature a fresh, new lineup of the world’s best graph experts sharing their experiences on how graph database… Read more →
Keywords: ai • data governance • data management • Data Scientist • graphconnect • machine learning • Master Data Management • Personalization • predictive analytics • Recommendations
Graph Databases for Beginners: Why a Database Query Language Matters (More Than You Think)
By Bryce Merkl Sasaki
August 15, 2018 12 mins read
Languages (the natural, human kind) shape how you view the world. From color to time to gender relations, there’s no escaping how language limits (or expands) your worldview. Words are the categories and labels that we use to process and… Read more →
Keywords: cypher • cypher query language • database query language • graph database • graph technology • query language • rdbms • relational database • sql • structured query language
Financial Risk Reporting: Building a Risk Metadata Foundation
By Jocelyn Hoppa
August 6, 2018 4 mins read
Regulations, such as BCBS 239, are driving banks to reexamine the way they manage financial risk management data. Building a connected data foundation supports a world of innovative uses of your enterprise data – including 360-degree visibility of your customers,… Read more →
Keywords: BCBS 239 • Connected Data • financial risk reporting • financial services • governance • Graph Databases • native graph database • nosql • relational database • risk metadata
Congrats to Cerved and LARUS for Winning the Big Data Analytics Award from Digital360
By Jocelyn Hoppa
August 3, 2018 3 mins read
On July 2018, Cerved – a Neo4j customer – has been awarded with the Big Data Analytics prize, by a panel of 50 CIOs working for the most important Italian companies, at the Digital360 Awards 2018, thanks to its Graph4you… Read more →
Keywords: big data analytics • cerved • data connections • Digital360 Awards • financial services • graph algoritms • Graph Databases • graph technology • Graph4you • Larus
Knowledge Graphs: The Path to Enterprise AI
By Jocelyn Hoppa
July 11, 2018 28 mins read
Editor’s Note: This presentation was given by Michael Moore and Omar Azhar at GraphConnect New York in October 2017. Presentation Summary Once your data is connected in a graph, it’s easy to leverage it as a knowledge graph. To create… Read more →
Keywords: Connected Data • data mobilization • enterprise AI • enterprise search • graph database • graph technology • Knowledge Graph • machine learning • natural language processing • Recommendation Engine
The Next Generation of Service Assurance:
The Imperative to Advance
By Jocelyn Hoppa
July 9, 2018 3 mins read
Service assurance is the way organizations optimize various services offered over networks (from phone calls and email to video and applications) to deliver a better end-user experience. For decades, service assurance practices used fragmented views of the network and services… Read more →
Keywords: graph database • native graph technology • network operations • network services • predictive modeling • rdbms • service assurance • software-defined networks • telecommunications • virtualization
The ROI on Connected Data:
The Overlooked Value of Context for Business Insights [+ Airbnb Case Study]
By Bryce Merkl Sasaki
June 11, 2018 4 mins read
Your data is inherently valuable, but until you connect it, that value is largely hidden. Those data relationships give your applications an integrated view that powers real-time, higher-order insights traditional technology cannot deliver. In this series, we’ll examine how investments… Read more →
Keywords: Airbnb • Apache Hive • Connected Data • data discovery • data model • digital transformation • elasticsearch • master data • PageRank • python
Neo4j Graph Database 3.4 GA Release: Everything You Need to Know
By Bryce Merkl Sasaki
May 17, 2018 8 mins read
Author’s note: What a hectic week in the world of Neo4j! In addition to finalizing the delivery of Neo4j 3.4, we simultaneously built the GQL Manifesto, a call to support a common, unified Graph Query Language. Thank you to the… Read more →
Keywords: cache warming • Cartesian coordinates • cypher • database security • DevOps • graph database • hot backups • native graph database • neo4j • Neo4j 3.4
Graph Algorithms in Neo4j:
15 Different Graph Algorithms & What They Do
By Bryce Merkl Sasaki
April 23, 2018 9 mins read
Graph analytics have value only if you have the skills to use them and if they can quickly provide the insights you need. Therefore, the best graph algorithms are easy to use, fast to execute and produce powerful results. Neo4j… Read more →
Keywords: betweenness centrality • breadth-first search • clustering algorithms • depth-first search • graph algorithms • Graph Analytics • machine learning • Network Science • PageRank • union-find
Graph Algorithms in Neo4j: How Connections Drive Discoveries
By Bryce Merkl Sasaki
April 9, 2018 4 mins read
Graph algorithms are the powerhouse behind the analysis of real-world networks — from identifying fraud rings and optimizing the location of public services to evaluating the strength of a group and predicting the spread of disease or ideas. In this… Read more →
Keywords: ACID • Connected Data • data integrity • Fraud Rings • graph algorithms • graph analysis • Graph Analytics • Graph Theory • label propagation • PageRank
Retail & Neo4j: Network & IT Management for Retailers
By Bryce Merkl Sasaki
February 12, 2018 3 mins read
In order to re-invent the value chain from linear to circular and highly connected, retailers need to modernize their IT infrastructure rapidly and cost-effectively. In addition, web-based retailers must find a way to handle scale and sophistication to remain competitive.… Read more →
Keywords: Active Directory • bloodhound • CMDB • configuration management database • graph technology • index free adjacency • it infrastructure • IT Management • it operations • Retail
Retail & Neo4j: Customer Experience Personalization
By Bryce Merkl Sasaki
January 8, 2018 5 mins read
To remain viable, today’s retailers must be nimble enough to face their colossal online competition while also addressing another new reality of retail: The customer is now at the center of the value chain. In order to adapt to these… Read more →
Keywords: Connected Data • customer experience • customer experience personalization • graph analysis • graph database • graph technology • neo4j • path analytics • Recommendation Engine • Retail
Data Profiling: A Holistic View of Data using Neo4j
By Bryce Merkl Sasaki
January 3, 2018 8 mins read
Summary Data profiling is a widely used methodology in the relational database world to analyse the structure, contents and metadata of a data source. Generally, data profiling consists a series of jobs executed upon the data source to collect statistics… Read more →
Keywords: APOC • Connected Data • cypher • data integration • data profiling • data quality • graph algorithms • native graph database • Neo4j Browser • triadic closure
Welcome to the Graph Community, Amazon Neptune!
By Bryce Merkl Sasaki
December 1, 2017 5 mins read
This post originally appeared on Emil Eifrem’s CEO blog on 1 December 2017. Graph technology has come a long way, and today the transformative nature of graphs is publicly visible through examples such as financial fraud detection in Panama and… Read more →
Keywords: Amazon Neptune • cypher • Cypher for Apache Spark • graph database • graph query language • graph technology • graph visualization • native graph database • neo4j • opencypher
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
A Big Step Forward: Spring Data Neo4j 5.0 Release
By Bryce Merkl Sasaki
October 16, 2017 9 mins read
This post introduces what’s been happening in Spring Data Neo4j recently. You will learn about the new features and the simplification of the programming model, find out what has changed under the cover, such as smarter querying for better performance.… Read more →
Keywords: cypher • graphconnect • java • microservices • pivotal • spring • spring boot • spring cloud • Spring Data • spring data neo4j
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