Key Considerations in Buying a Graph Database
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 guide is intended to assist you in your buying decision by providing a side-by-side comparison of four leading graph databases, Neo4j, Amazon Neptune, Datastax Enterprise and TigerGraph.
The guide is divided into three parts. Part 1 compares Neo4j and TigerGraph, part 2 compares Amazon Neptune and TigerGraph Cloud, and part 3 compares Datastax Enterprise and TigerGraph.