PageRank, community detection, centrality
Betweenness centrality, Leiden community detection, node2vec, and bipartite matching — callable as Cypher procedures without leaving your query.
Ecosystem
Extend your graph database
From advanced algorithm libraries to intuitive data visualization interfaces, discover how to transform your data analysis and application development workflows.
Memgraph Lab
Visualize and explore your data
A visual interface for exploring your graph data. Run Cypher queries, visualize results, and manage your database — or skip Cypher entirely with natural-language querying through GraphChat.
Get started with LabGraphChat
Ask questions in plain English. GraphChat translates them into Cypher automatically.
Flexible graph views
Out-of-the-box visualizations with full customization via GSS.
Cypher with IntelliSense
Autocomplete, signatures, and parameter hints make writing queries faster.
Query collections
Save, organize, and share your queries across the team for better collaboration.
MAGEClassic algorithms Dynamic algorithms Extensible Explore algorithms
60+ graph algorithms, built into Memgraph.
MAGE is a library of graph algorithms built into the Memgraph image. NetworkX, igraph, and cuGraph integrations sit alongside graph-native ML for embeddings, GNNs, and link prediction.
Incremental updates, no restarts
Results update as the graph changes. Memgraph recalculates only what's necessary — designed for high-speed writes without recomputing from scratch.
Write your own in Python, C++, or Rust
Custom query modules in C, C++, Python, or Rust. GPU acceleration via NVIDIA cuGraph. Contribute back to the open-source library.
GQLAlchemy
Query data using Python instead of Cypher
GQLAlchemy is the go-to tool for developers who prefer a Pythonic way to interact with graph databases. As an Object Graph Mapper (OGM), it simplifies working with Cypher by letting you model, query, and update your graph using familiar Python object-oriented patterns — no Cypher required.
Install GQLAlchemy
Connect & extend
Works with your existing stack.
Streaming data sources
Kafka
RedPanda
Pulsar
Algorithm providers
NetworkX
igraph
cuGraph
Search providers
Elasticsearch
Connectors to commonly used streaming data sources, integrations with graph algorithm libraries, and search providers.
“Memgraph Lab excels in handling on-the-fly queries and solving problems efficiently. One notable upgrade is the ‘copy all’ feature, which has streamlined data analysis significantly.”
Victor Dozal
Senior Manager - IS, Microchip Technology, Inc.
