Key Considerations in Buying a Graph Database
PART ONE - TIGERGRAPH AND NEO4J
Selecting graph database and analytics software is an important decision that can shape the success of your organization. Unfortunately buyers often struggle to reconcile the conflicting claims made by different graph software vendors - these claims are often characterized by misinformation.
As you consider the purchase of a graph database, here are some important questions that many buyers work through:
- Will my graph database continue to serve my needs now and into the future as the volume, and complexity, of my data grows?
- Can my data scale across multiple machines to enable me to analyze larger and larger datasets?
- What is my cost of ownership for my graph database, including the initial cost of license (on-premises) or subscription (cloud-based service), cost of infrastructure, whether physical hardware or cloud resources, and cost of maintaining and expanding my solution?
This buyer’s guide gives you the answers to these questions. It covers key criteria including functionality, scalability, and total cost of ownership and provides a side-by-side comparison of two leading graph databases, Neo4j and TigerGraph.