GrapheneDB vs TigerGraph DB: What are the differences?

Developers describe GrapheneDB as "Cloud-hosted Neo4j Graph Databases as a Service". With automated backups, lightning-fast provisioning, 24x7 monitoring, and best-in-class support. Available on AWS, Azure and Heroku. On the other hand, TigerGraph DB is detailed as "Native Parallel Graph solution that is designed for Speed and Scalability". It is the only scalable graph database for the enterprise which is based on the industry’s first Native and Parallel Graph technology It unleashes the power of interconnected data, offering organizations deeper insights and better outcomes.

It’s proven technology supports applications such as IoT, AI and machine learning to make sense of ever-changing big data..

GrapheneDB and TigerGraph DB can be primarily classified as "Graph Database as a Service" tools.

Some of the features offered by GrapheneDB are:

• Cloud scaling
• Available in all major providers
• 24x7 monitoring

On the other hand, TigerGraph DB provides the following key features:

• SCALABILITY FOR MASSIVE DATASETS
• DEEP-LINK MULTI-HOP ANALYTICS
• REAL-TIME PERFORMANCE