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Graphs on Hypermode is currently in developer preview. New features are shipping weekly.
Graphs on Hypermode provides a fully managed Dgraph service for building and deploying knowledge graphs. This service combines the power of Dgraph’s distributed graph database with Hypermode’s AI development platform, offering a seamless experience for developers and organizations of all sizes. New Graphs deployed on Hypermode as of May 21, 2025, are powered by Dgraph v25.

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Key features

In addition to the features provided by Dgraph, Graphs on Hypermode provides a turnkey experience for building and deploying knowledge graphs.
FeatureDescription
Scale to Zeroautomatically scale down after periods of inactivity and scale back up on demand
Autoscalingdynamic resource allocation based on workload demands
Flexible Schema Optionsstart schema-less or define structured schemas using DQL or GraphQL
Regional Deploymentdeploy in multiple regions for low-latency access
Modus Integrationseamlessly integrate with Hypermode’s Modus framework for AI-ready backends
Fully Managed Servicedeploy, scale, and operate your graph database without infrastructure headaches

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Getting started

To get started with Graphs on Hypermode:
  1. Deploy a new graph: create your graph database
  2. Connect to your graph: use connection strings to access your graph from various clients
  3. Manage your schema: define your graph structure using DQL or GraphQL (optional)
  4. Manage data: add, query, and manipulate data in your graph

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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

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Why Graphs on Hypermode?

Traditional data stores struggle with highly connected data and complex relationship queries, which are often found in knowledge graphs. Graph stores like Dgraph excel at modeling and querying relationships, making them perfect for building with AI services, where connections between data points are as important as the data itself. Hypermode’s managed service eliminates the operational complexity of running Dgraph, allowing you to focus on building your app while we handle scaling, backups, and infrastructure management.
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