RDF Triple Stores vs. Labeled Property Graphs: What’s the Difference?
By Rachel Howard
August 18, 2017|
Reading time: 16 minutes
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 • Triple Store
Integrating All of Biology into a Public Neo4j Database
By Rachel Howard
June 20, 2017|
Reading time: 7 minutes
Editor’s Note: This presentation was given by Daniel Himmelstein at GraphConnect San Francisco in October 2016. Summary Himmelstein started his PhD research with the question: How do you teach a computer biology? He found the answer in a heterogenous network… Read more →
Keywords: biology • digitalocean • docker • drug repurposing • graphconnect • heterogeneous network • hetnet • machine learning • property graph • python
From the Neo4j Community: September 2016
By Rachel Howard
October 31, 2016|
Reading time: 2 minutes
The Neo4j community has been busy this autumn, and September (as the month before GraphConnect) was exceptional. Read on to see this past month’s top content, including great articles on polyglot persistence with MongoDB, RDF-to-graph transitions and using Neo4j with… Read more →
Keywords: cypher • graph database • Information Security • Knowledge Graph • Neo4j Community • nosql • property graph • real-time data analytics • spring data neo4j
Common Confusions on Cypher (and How to Avoid Them)
By Bryce Merkl Sasaki
March 1, 2016|
Reading time: 8 minutes
I spend a lot of my free time answering Stack Overflow questions about Cypher, Neo4j’s graph query language. Cypher is an intuitive, ASCII-art-driven language that allows you to query your property graph by specifying patterns of nodes and relationships. While… Read more →
Keywords: cartesian product • cypher • graph database • graph query language • neo4j • property graph • query language • stack overflow
Neo4j + Cassandra: Transferring Data from a Column Store to a Property Graph
By Bryce Merkl Sasaki
February 8, 2016|
Reading time: 5 minutes
We’ve previously talked about the concept of polyglot persistence and why it can make sense to use multiple database technologies together. Today, we will examine a possible use case for using Neo4j (a graph database) and Cassandra (a column store)… Read more →
Keywords: Cassandra • column store • data import • data mapping • data model • fraud detection • neo4j • polyglot persistence • property graph • write throughput
Neo4j Doc Manager: Polyglot Persistence for MongoDB & Neo4j
By Bryce Merkl Sasaki
October 29, 2015|
Reading time: 6 minutes
When building scalable applications, developers have a myriad of technologies to choose from, especially when choosing a database technology. We want to choose the right piece of technology that offers optimal enhancement of functionality or performance boost. However, when adding… Read more →
Keywords: data model • document database • mongo connector • MongoDB • neo4j • polyglot persistence • product catalog • property graph • property graph model • real-time recommendations
Graph Databases for Beginners: Other Graph Data Technologies
By Bryce Merkl Sasaki
September 18, 2015|
Reading time: 5 minutes
Whether you’re new to the world of graph databases or an old pro, it’s easy to assume there’s only a few types of graph database technologies. In reality, it’s one of the most diverse sectors of the NoSQL ecosystem. In… Read more →
Keywords: data model • Graph Data • graph database • hyperedge • hypergraph • nosql • nosql database • property graph • RDF • Triple Store
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