Memgraph Reviews and Details

Social recommendations and mentions

• CI/CD Auto-Remediation: The Complete Guide for SRE and Platform Teams (2026)

  Auto-remediating into a worse state. The classic failure is auto-scaling a service to handle elevated error rates that are themselves caused by a downstream dependency. The service scales, hammers the dependency harder, and the dependency collapses. Fix: never auto-remediate without dependency-graph awareness. Aurora uses Memgraph for this; HolmesGPT uses its toolset structure; pure-L1 stacks should require manual... - Source: dev.to / 3 months ago

• Show HN: FastGraphRAG – Better RAG using good old PageRank

  Suggestion: check out Memgraph for graph db storage - https://memgraph.com/. I work at Memgraph as DX Engineer so feel free to ping me in case you have questions about it: https://memgraph.com/office-hours Your solution looks interesting and I would love to hear more about it. I haven't seen that many PageRank-based graph exploration tools. - Source: Hacker News / over 1 year ago

• List of 45 databases in the world

  Memgraph — Real-time graph database for streaming data. - Source: dev.to / about 2 years ago

• Ask HN: Who is hiring? (March 2024)

  Memgraph | Staff C++ Database Engineer | REMOTE (Central/Western Europe, LatAm, or North America) https://memgraph.com/ Memgraph is a Seed stage, open source graph database vendor. Graph DBs are a great solution for GenAI, logistics, cybersecurity and fintech so we are looking to grow aggressively this year. We're looking for a staff-level engineer to set technical direction, mentor junior team members, and solve... - Source: Hacker News / over 2 years ago

• Ask HN: Were Graph Databases a Mirage?

  Relational databases have a much longer history of development, and much more engineering time has went into designing RDBMS. It is not a surprise that they are mature on more levels. By looking at the age of a product, you can get a sense of how mature RDBMS systems are compared to most GraphDB projects. Horizontal scaling is hard in GraphDBs due to the nature of how the graph is structured and how you interact... - Source: Hacker News / over 2 years ago

• When to Use a NoSQL Database

  NoSQL databases are non-relational databases with flexible schema designed for high performance at a massive scale. Unlike traditional relational databases, which use tables and predefined schemas, NoSQL databases use a variety of data models. There are 4 main types of NoSQL databases - document, graph, key-value, and column-oriented databases. NoSQL databases generally are well-suited for unstructured data,... - Source: dev.to / about 3 years ago

• Understanding Cosine Similarity in Python with Scikit-Learn

  Whether it's about identifying similar user profiles in a social network, detecting similar patterns in a communication network, or classifying nodes in a semantic network, cosine similarity contributes valuable insights. Combined with a powerful graph database system, such as Memgraph, it gives a better understanding of complex networks. Memgraph is an open-source in-memory graph database built to handle... - Source: dev.to / about 3 years ago

• Are indices used as much in Graph databases like Neo4j as in SQL databases?

  Take a look at this blog post about choosing the optimal index. It focuses on Memgraph graph database but it offers a theoretical background that is not vendor related. Source: over 3 years ago

• Synchronize Data Between Memgraph Graph Database and Elasticsearch

  Although some naive text-searching solutions could be built with a graph database like Memgraph, Elasticsearch is better at offering fine-grained searching capabilities specific to text processing. A lot of people have decided to use both systems, but the problem is how to keep them in sync. In MAGE 1.6 we introduce a module that enables developers to serialize Memgraph into Elasticsearch instance using basic... - Source: dev.to / over 3 years ago

• How to Identify Essential Proteins Using Betweenness Centrality

  In this tutorial, we will utilize betweenness centrality for identifying essential proteins. For this task, we are using Memgraph, a graph analytics platform, which can perform complex graph analysis on all sorts of networks. Even though we will use betweenness centrality, other graph algorithms can also be applied to the protein-protein interaction network, such as other centrality measures or the PageRank... - Source: dev.to / over 3 years ago

• I'm working on a deck-building tool, who wants to help?

  PS: the library I'm using for now is https://memgraph.com/. Source: over 3 years ago

• Futuristic databases you’ve never heard of [video]

  I'm CTO at Memgraph it's very nice to see us on the list :D Thanks Fireship! You can checkout all of the info about MG at https://memgraph.com + happy to figure out more about your graph streaming use-cases! - Source: Hacker News / over 3 years ago

• Introduction to Stream Processing

  For example, if we have 100 microservices, each of them publishes accessibility information about itself into a Kafka topic. We will use different frameworks like Apache Flink, Apache Storm, Beam, Memgraph, or Apache Spark to consume these messages in real-time from a Kafka topic and then process them into a data store. Since this is for security, we will filter out a lot of information that we get from the main... - Source: dev.to / over 3 years ago

• Real Time Data Infra Stack

  MEM GRAPH: Graph database built for real-time streaming and compatible with Neo4j. - Source: dev.to / over 3 years ago

• My first year at Memgraph

  Exactly one year ago, I joined Memgraph. I’ve never worked at a startup before so I had no idea what I was heading for, but I felt like it was something that I had to do. I’ve been in IT for more than 25 years now, and I know that the only constant thing in IT is change and a need to learn a lot of new things. - Source: dev.to / over 3 years ago

• First steps with Memgraph

  In this tutorial, you will learn how to install Memgraph Platform, connect to it using Memgraph Lab, run your first query and style your graph. You will see that using Memgraph is not hard at all! - Source: dev.to / almost 4 years ago

• GraphDB for Godot

  If you do really need an in-memory graph database, then you can try using MemGraph which is free & open-source (though not libre), built on top of the RocksDB document database, and iirc allows you to use it for commercial purposes so long as that does not involve incorporating it into a competing database product or service. Source: almost 4 years ago

• Live stream "How to work with Github?" - in two days

  Memgraph CTO Marko Budiselić will have a live stream "How to work with Github?" on Saturday, August 27th, at 10:00 CET. Source: almost 4 years ago

• Running Large-Scale Graph Analytics with Memgraph and NVIDIA cuGraph Algorithms

  Memgraph is a streaming graph application platform. With the latest Memgraph Advanced Graph Extensions (MAGE) release, you can now run GPU-powered graph analytics from Memgraph while working in Python. Source: almost 4 years ago

• Retrieve graph data with Python instead of writing Cypher queries

  GQLAlchemy is a library developed with the purpose of assisting in writing and running queries on Memgraph. GQLAlchemy supports high-level connection to Memgraph as well as a modular query builder. Source: almost 4 years ago

• Alternatives to Neo4j Enterprise

  Take a look at Memgraph. It's an in memory graph database built with C++. Supports the Cypher query language. As for the scaling and clustering, I think they have some basics covered but not that much. Https://memgraph.com. Source: about 4 years ago