What is Memgraph?
It is fully distributed and in‑memory transactional graph database platform powering the next generation of real‑time enterprise applications in fraud detection, cyber security and artificial intelligence.
Memgraph is a tool in the Graph Databases category of a tech stack.
Memgraph is an open source tool with GitHub stars and GitHub forks. Here’s a link to Memgraph's open source repository on GitHub
Who uses Memgraph?
Docker, Microsoft Azure, OpenShift, Graph Story, and GrapheneDB are some of the popular tools that integrate with Memgraph. Here's a list of all 7 tools that integrate with Memgraph.
Why developers like Memgraph?
Here’s a list of reasons why companies and developers use Memgraph
Be the first to leave a pro
Memgraph Alternatives & Comparisons
What are some alternatives to Memgraph?
See all alternatives
Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.
Dgraph's goal is to provide Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data. Dgraph supports GraphQL-like query syntax, and responds in JSON and Protocol Buffers over GRPC and HTTP.
Cayley is an open-source graph inspired by the graph database behind Freebase and Google's Knowledge Graph. Its goal is to be a part of the developer's toolbox where Linked Data and graph-shaped data (semantic webs, social networks, etc) in general are concerned.
It is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. It is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.