Dgraph vs Memgraph
On the evidence we track, Memgraph leads this comparison with a composite score of 55/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
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
A distributed graph database that combines the scalability of NoSQL systems with SQL-like transactions and ACID guarantees. It processes queries in parallel across a cluster to deliver fast results for complex graph operations over terabytes of data.
Memgraph
LeaderA high-performance, in-memory database designed for real-time graph queries and reasoning in AI applications. It combines sub-millisecond traversals with native vector search, ACID transactions, and streaming data connectors for fraud detection, network analysis, and AI augmentation.
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.
Memgraph
Leader- Kafka
- Pulsar
- Redpanda
- Cognee
- AWS (via Marketplace)
- LangChain
- LlamaIndex
- OpenAI
- Cohere
- Apache Spark
- Kerberos
- LDAP
- MCP
- LiteLLM
- Neo4j
Dgraph or Memgraph: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.