Learn about the benefits of using a graph database instead of SQL in terms of data modeling, querying, and development speed and flexibility.
Learn how to productionize your NetworkX algorithms with Memgraph using Cypher procedures and query modules.
The most useful and common Cypher queries along with their explanation, and best practices.
Learn how to model, visualize, and navigate a complex transportation network using graph algorithms, Cypher, Memgraph, and Memgraph Lab
Learn the basic principles behind community detection algorithms, their specific implementations, and how you can run them using Python and NetworkX.
Learn how to build a flight network analysis graph-based ASP.NET application using Memgraph, C#, and D3.js.
Learn how to extend the Cypher query language by implementing a few simple custom procedures to load and export data in a JSON format using Memgraph MAGE and Python.
Learn about the main differences between a graph database and a relational database, what kind of use-cases are best suited for each database type, and what are their strengths and weaknesses.
In this tutorial, you will learn how to build a simple graph-powered Python fraud detection web application from scratch.
Learn how to implement custom Cypher procedures using query modules and the NetworkX Python library.
Learn about how we implemented replication capabilities in Memgraph. In this post, we discuss our approach, challenges, and solutions.
Memgraph 1.3 is here and it brings you high availability replication!
A step-by-step tutorial for installing Memgraph and Memgraph Lab on Windows 10
By using the LRP algorithm, we delivered J-Packs to everyone in the company for Xmas!
Discover how to visualize graph data on a world map in Memgraph Lab
Discover how to customize your graph visualisations using the new scripting lanugage.
Memgraph 1.2 is here! One of the biggest changes in this release is the addition of Bolt v4 and v4.1 support. In this post, we will explore what exactly is the Bolt protocol, what it brings to the table, and how we implemented it into Memgraph.
Learn how by introducing a new storage engine, encoding and compressing properties on both nodes and edges, and leveraging skip lists as an indexing data structure, we were able to reduce memory usage by as much as 50% and improve throughput towards near-linear scalability.
How to build a Python web application for visualizing a Social Network Graph in Python with Docker, Flask and D3.js
Learn how to build a recommendation engine with Memgraph using an objective approach.
Take a look at common airplane routing procedures and learn how to use Memgraph Lab to calculate and show results related to them
Learn how graph databases can offer powerful data modeling and analysis capabilities your business can leverage to easily model real-world complex systems and answer challenging questions.
Learn how to leverage breadth-first search and dijkstra's algorithm to build a route planning application with Memgraph and Cypher.
We are proud to announce the general availability of Memgraph 1.0! Memgraph is an in-memory, native, transactional graph database engineered to support real-time applications.
The Memgraph community forum is the best place to get fast and accurate answers from both our team and other Memgraph developers.
A step-by-step tutorial for installing Memgraph and Memgraph Lab on macOS
We're happy to announce that Memgraph drivers for Python and C languages, as well as Memgraph CLI command line interface are now published.