Graphs on Hypermode is currently in developer preview. New features are
shipping weekly.
Key features
In addition to the features provided by Dgraph, Graphs on Hypermode provides a turnkey experience for building and deploying knowledge graphs.Feature | Description |
---|---|
Scale to Zero | automatically scale down after periods of inactivity and scale back up on demand |
Autoscaling | dynamic resource allocation based on workload demands |
Flexible Schema Options | start schema-less or define structured schemas using DQL or GraphQL |
Regional Deployment | deploy in multiple regions for low-latency access |
Modus Integration | seamlessly integrate with Hypermode’s Modus framework for AI-ready backends |
Fully Managed Service | deploy, scale, and operate your graph database without infrastructure headaches |
Getting started
To get started with Graphs on Hypermode:- Deploy a new graph: create your graph database
- Connect to your graph: use connection strings to access your graph from various clients
- Manage your schema: define your graph structure using DQL or GraphQL (optional)
- Manage data: add, query, and manipulate data in your graph
Use cases
Graphs on Hypermode is ideal for:- Knowledge graphs for AI apps
- Social networks and recommendation systems
- Fraud detection and pattern recognition
- Content management systems with rich interconnections
- Complex relationship modeling
- Any app requiring efficient traversal of connected data