Comparison

Neo4j vs Memgraph

Overview

The world's leading graph database platform.

Neo4j is the most widely adopted graph database, storing data as nodes and relationships for fast traversal of connected data. It uses the Cypher query language and powers knowledge graphs, fraud detection, recommendations and GraphRAG, with a managed Aura cloud service.

Memgraph

In-memory graph database for real-time streaming analytics.

memgraph.com →

Memgraph is an open-source, in-memory graph database compatible with the Cypher query language. Built for real-time analytics on streaming data, it offers high performance for use cases like network monitoring, fraud detection and logistics.

Which should you choose?

Neo4j is the mature, disk-backed graph platform with a Graph Data Science library and managed Aura cloud. Memgraph is in-memory and built for real-time streaming graph analytics, with Kafka/Pulsar integration and Cypher compatibility as a drop-in for Neo4j workloads. Choose Neo4j for general-purpose graph storage and analytics maturity; choose Memgraph if real-time streaming analytics and in-memory performance are the priority.

TLDR

—If general-purpose graph storage and analytics maturity matter most, choose Neo4j.
—If you need real-time streaming analytics with in-memory performance, choose Memgraph.

Features

—Native graph storage and traversal
—Cypher query language
—ACID transactions
—Graph Data Science library
—Knowledge graph and GraphRAG support
—Managed Neo4j Aura cloud

—In-memory performance
—Cypher (openCypher) compatible
—Streaming graph analytics
—Built-in graph algorithms (MAGE)
—Kafka and Pulsar integration
—Drop-in for Neo4j workloads

Pricing

Neo4j

freemiumFree plan availableCommunity Edition is free and open source (GPL). Aura cloud has a free tier plus usage-based professional and enterprise plans.