Memgraph – Transactional, in-memory, cypher-compatible graph database

In plain words

Memgraph is a transactional, in-memory graph database that supports Cypher queries, launched in 2020. It is designed for developers and data teams who need to work with connected data structures. The database runs in memory for fast query performance and uses Cypher, a widely-adopted query language, making it compatible with existing graph database tools and knowledge.

written from the facts on this page · September 2026

From the sources

Already used by everyone from solo developers to Fortune 500 enterprises, Memgraph 1.0 is now publicly available and production-ready. We’ve come a long way since writing the first line of code in summer 2016 and we’re proud to bring you what we believe to be a graph database that will make it easy for developers and data scientists to build and productionize high-performance graph applications. With this in mind, we build Memgraph. A high-performance, Cypher compatible graph database management system purposely engineered with the unique capability of supporting both transactional and analytical workloads. Built from the ground-up leveraging an in-memory first, durable, and redundant…from memgraph.com

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  Memgraph 1.02020 · memgraph.com · ▲65

  A high-performance, in-memory, transactional graph database.

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  A few days ago we have released a new version of Memgraph. Memgraph is a streaming graph application platform that helps you wrangle your streaming data, build sophisticated models that you can query in real-time, and develop applications. It is powered by an in-memory graph database built to handle real-time use-cases at enterprise scale. Memgraph supports strongly-consistent ACID transactions and uses the standardized Cypher query language for structuring, manipulating, and exploring data. The main new things in Memgraph 2.2 are: - you can run Memgraph now on Apple M1 based computers - you…

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  Hi HN, I have been making this Cozo database since half a year ago, and now it is ready for public release. My initial motivation is that I want a graph database. Lightweight and easy to use, like SQLite. Powerful and performant, like Postgres. I found none of the existing solutions good enough. Deciding to roll my own, I need to choose a query language. I am familiar with Cypher but consider it not much of an improvement over CTE in SQL (Cypher is sometimes notationally more convenient, but not more expressive). I like Gremlin but would prefer something more declarative. Experimentations…

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