NebulaGraph is an open-source distributed graph database for teams managing large, highly connected datasets. It supports the nGQL query language, horizontal scaling, and low-latency traversal for use cases such as fraud detection, recommendations, and knowledge graphs.
💡 Pick it for the most mature graph ecosystem, tooling, and managed cloud experience.
Neo4j is a highly scalable native graph database that leverages data relationships as first-class entities, making it ideal for connected data applications.
Free community edition available, pricing for enterprise edition varies
💡 Pick it when you want a fully managed graph database integrated with an AWS production stack.
Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with...
Priced based on usage
💡 Pick it for enterprise graph analytics and parallel processing across very large connected datasets.
TigerGraph is a native parallel graph database platform for real-time deep link analytics.
Free community edition available, pricing for enterprise edition varies
💡 Pick it when your application needs graph traversals and document storage in one multi-model database.
ArangoDB is a multi-model database with flexible data models for documents, graphs, and key-values. It provides a unified query language and supports...
Free / Paid
💡 Pick it for an Apache-licensed graph stack with pluggable storage and maximum infrastructure control.
JanusGraph is a scalable graph database optimized for storing and querying graphs containing billions of vertices and edges distributed across a multi-machine...
💡 Pick it for low-latency, real-time graph workloads with openCypher compatibility and streaming support.
Memgraph is a high-performance, in-memory graph database for real-time connected data insights.
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