Dgraph vs Neo4j
No clear leader: Dgraph (50.3) and Neo4j (49.7) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for graph databases. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Dgraph
An open-source, horizontally scalable GraphQL database providing ACID transactions and consistent replication across distributed clusters. Built for handling complex queries over large datasets with strong consistency guarantees.
Neo4j
Neo4j is a graph database designed to organize and query connected data using a native graph model. It provides an intuitive query language and tools for discovering patterns and relationships across complex, interconnected datasets.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
Dgraph
Not documented yet.
Neo4j
- Spring Framework
- GraphQL
- StepZen
- Apache Kafka
- Apache Spark
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.