Memgraph vs Neo4j
No clear leader: Memgraph (54.9) and Neo4j (54.9) 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.
Memgraph
A 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.
Neo4j
A managed cloud graph database that stores data as interconnected entities and relationships, designed for knowledge graphs, AI applications, and complex relationship analysis.
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.
- Kafka
- Apache Spark
- LDAP
Memgraph
- Pulsar
- Redpanda
- Cognee
- AWS (via Marketplace)
- LangChain
- LlamaIndex
- OpenAI
- Cohere
- Kerberos
- MCP
- LiteLLM
- Neo4j
Neo4j
- Spring Framework
- GraphQL
- StepZen
- Apache Kafka
- Couchbase
- JDBC
Memgraph or Neo4j: 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.