On the occasion of Memgraph 6th birthday, Founders Dominik and Marko made a video about their Memgraph journey while visiting San Francisco.
We are super excited to share a real honest review of Memgraph with you! The review was created by Ashleigh Faith, a data scientist and researcher, and she hosted our DevRel Engineers, Katarina Šupe and Ivan Despot.
Recommending books is hard. Thanks to the Amazon books dataset and insights from graph analytics, you can build your own. Here’s how.
Analyze the Art Blocks transaction data, projects and communities in real-time with Memgraph
Movie ratings from MovieLens are incoming, but you are still not sure what to watch over the weekend? Create your own movie recommendation system.
Always wanted to identify the most influential developer within your Github network? Check out how by using Pagerank.
Dive into the new, in browser capabilities that Memgraph Lab and Cloud unlock when analyzing your data streams in the graph domain.
We have a special guest, Michaël Ughetto, a graph data scientist from AstraZeneca. Michaël will discuss how AstraZeneca ingests data sources in the Biological Insights Knowledge Graph (BIKG) and distribute it to data scientists and domain experts.
Read about our fourth Graph Data Zagreb meetup and what topics were covered.
In-memory databases primarily rely on RAM storage instead of using hard or external disks for memory storage. Let’s take a look at how in-memory databases work along with some use cases in data science.
An in-memory database is a database that is kept in the main memory (RAM) of a computer and controlled by an in-memory database management system. When analyzing information in an in-memory database, only the RAM is used.
Learn what is Docker Compose and how it can help you in the application development process.
A Knowledge Graph is a reusable data layer that is used to answer sophisticated queries across multiple data silos. With contextualized data displayed and organized in the form of tables and graphs, they achieve pinnacle connectivity.
Query languages used for graph data management are called graph query languages (GQLs). Below are the popular graphDB query languages that provide a way to unpack information in graphs. Let’s dive into the details of popular query languages with their pros and cons.
Memgraph is organizing its fourth Graph Data Zagreb Meetup. The topic of our next meetup is “How to Transform Bitcoin Blockchain Into a Graph!”
Using profilers can be tricky, but by understanding and combining them you can pinpoint the bottleneck in your application. In this article you can read about how we combined Callgrind and gperftools to investigate the significant slowdown after rewriting our Bolt server.
Last week, at WESPA Spaces, on May 4, 2022, Memgraph held its the third edition of Graph Data Zagreb meetup for over 60 participants. Katarina Šupe, developer relations engineer created an excellent presentation for graph enthusiasts and Game of Thrones fans.
Load custom functions, Bolt over WebSocket implementation and FOREACH clause introduction will allow even easier development.
In the first part of the series, Kostas explores the idea of introducing WASM based clients for Memgraph.
The second part of the series deep dives into the WebAssembly ecosystem. Compilers, build systems and more!
The last part of the series introduces the very first Memgraph WASM client jsmgclient.
Meet Kostas - a passionate C++ engineer from Greece who joined the Core team more than a year ago
Temporal graph neural networks can be used to perform both label classification and link prediction. Learn how to create a simple graph recommendation engine using TGNs on an Amazon product dataset.
Memgraph is organizing its third Graph Data Zagreb meetup. Join us to discuss the latest topics in the world of graphs.
Online algorithms are key for rapid response to changes in streamed graph data
MAGE 1.2 - Full package of dynamic graph algorithms
Read about our second Graph Data Zagreb meetup and what topics were covered.
Through this guide, you will learn how to use different query builder methods to create, change, get, set, and remove data from Memgraph.
Say hello to GQLAlchemy 1.2, a Python OGM (Object Graph Mapper) that helps you work with graph databases.