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
Recommendation System based on 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.