16 Things to Consider When Selecting the Right Graph Database
By Enzo
April 8, 2022 16 mins read
Here are 16 things that you should consider when looking for the right graph database vendor for your application.
Explore: ACID • Business • buyer's guide • development • graph data science • graph database • graph visualization • htap • neo4j • OLAP
Graphs for Real-Time Transaction Processing: 5-Minute Interview with Jorge Zaccaro
By David Penick
April 9, 2021 5 mins read
Discover how Jorge Zaccaro, a software engineer, uses graph database technology for transaction processing at Minka.
Explore: 5-minute interview • cloud-hosted • database • digital currencies • Jorge Zaccaro • Minka • Neo4j Aura • OLTP • transaction processing
Introducing Neo4j 4.2
By Jocelyn Hoppa
November 17, 2020 3 mins read
Discover updates in Neo4j 4.2, which marks the completion of some critical capabilities in performance, operability and security.
Explore: complex queries • graph database • multi-database • OLTP • queries at scale
Enterprise Graphs: 5-Minute Interview
with Dan Woods
By Jocelyn Hoppa
March 29, 2019 6 mins read
“People are now moving from a project-based approach to adopting graphs to graphs as a platform for their technology,” said Dan Woods, Principal Analyst at Early Adopter Research and Founder and CEO of Evolved Media. Enterprises face challenges in adopting… Read more →
Explore: 5-minute interview • Dan Woods • enterprise graph • etl • Google Kubernetes Enterprise • graph technology • Knowledge Graph • microservices • OLAP • OLTP
Graph Compute with Neo4j: Built-in Algorithms, Spark & Extensions
By Bryce Merkl Sasaki
March 9, 2016 11 mins read
Editor’s Note: Last October at GraphConnect San Francisco, Ryan Boyd – Developer Relations at Neo Technology – delivered this presentation on how to perform various graph compute functions within the Neo4j ecosystem. For more videos from GraphConnect SF and to… Read more →
Explore: dijkstra algorithm • docker • Graph Algorithm • graph compute • graphconnect • mazerunner • neo4j • OLTP • PageRank • spark
RDBMS & Graphs: Graph Basics for the Relational Developer
By Bryce Merkl Sasaki
February 20, 2016 6 mins read
We already know that relational databases aren’t always enough for handling the volume, velocity and variety of today’s data, but what’s the clear alternative? There are a lot of other database options out there – including a number of NoSQL… Read more →
Explore: data model • graph • graph database • graph processing • Graph Theory • index free adjacency • nosql • OLTP • rdbms • relational database
Neo4j on IBM POWER8: Scale Massive Graphs Like Never Before
By Neo4j Staff
November 13, 2015 3 mins read
openCypher and the Neo4j 2.3 release weren’t the only big announcements Emil Eifrem made during his keynote address at GraphConnect San Francisco. The Neo4j team is also proud to unveil Neo4j on IBM POWER8. Just as we are working hard… Read more →
Explore: data processing • graph database • graph processing • IBM • linux • neo4j • OLTP • power systems • POWER8 • Scalability
Data Migration between MySQL and Neo4j
By Neo4j Staff
April 26, 2013 5 mins read
Many organizations that are looking at modeling highly connected data to add business intelligence or analytical capabilities using Neo4j already have a database in place. Introducing a graph database into the mix does not have to be a disruptive process.… Read more →
Explore: data import • data migration • data model • data sync • MySQL • neo4j • OLTP • rdbms • sql • sql query