Write pure Python code to interact with graphs

Use Memgraph's GQLAlchemy library - a query builder and object-graph mapper, to connect to the database and write Python code instead of Cypher queries. As a Python developer you can easily intergrate your existing projects or machine learning pipelines with Memgraph and analyze and visualize your data more quickly.

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Manage data with Python

Map graph entities to Python objects and validate your data with GQLAlchemy, similar like SQLAlchemy does with relational databases. Query the database with the query builder, access and utilize traditional, streaming and machine-learning graph algorithms using only Python.

Develop custom Python procedures

If you have a unique use case, you can extend the Cypher query language with custom procedures in Python which you can edit and run directly from Memgraph's visual interface Memgraph Lab.Utilize familiar network analysis libraries, such as igraph and NetworkX, to analyze your data.

Be a part of the open source Python community

Perfect your coding skills by implementing graph algorithms or working on Memgraph's Python client and benefit from improvements made by other developers. Become a supernode of the Memgraph's Python community.

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Free Course

Getting started with Memgraph and Python

Through this course, you will learn how to create a graph model from a dataset, run Memgraph with Docker, connect to it from a Jupyter Notebook with the help of Memgraph's Python client - GQLAlchemy, and perform simple queries. You will explore the dataset that holds information about movies and users' ratings.

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Why use Memgraph?

Performance for real-time needs

Handling real-time, highly concurrent, write-heavy data transactions is what Memgraph is all about.

C++ in-memory architecture gives Memgraph a massive head start for any real-time graph analysis needed. Don't just take our word for it, check out the benchmark results and validate them for yourself!

Available High Availability

High Availability is a major concern for developers. Through Memgraph's open source commitment, high availability is available to all developers through the Community Edition.

No need to fork out cash and the Enterprise licence to get an uninterrupted and continuous graph database system.

Full flexibility

Memgraph is a natural drop-in replacement as it is Cypher-ready.

There are multiple drivers to connect to the DB and allowing you to write custom procedures in various languages (Python, C/C++).

Fire up your instance on-prem or on AWS Cloud with a two-week free trial.


Embark on the Fraud Detection Journey by Importing Data Into Memgraph With Python

Are you reluctant to switch from a relational database to a graph databases to explore fraud because you believe you first need to be proficient in Cypher to correctly import the data? Be rest assured - there is a Python-friendly approach available within Memgraph!

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Embark on the Fraud Detection Journey by Importing Data Into Memgraph With Python
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