Memgraph 2.2. is released – graph database that supports streaming
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…
In plain words
Memgraph 2.2 is an in-memory graph database platform designed for processing streaming data in real-time at enterprise scale. It uses the Cypher query language and supports ACID transactions. The latest version adds Apple M1 support, WebSocket logging, Kafka stream configuration with CONFIG and CREDENTIALS clauses, and new built-in procedures. It is intended for developers building real-time graph applications that require low-latency querying and data manipulation.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
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 can now use WebSocket support to push the logs - you can now configure Kafka streams using CONFIG and CREDENTIALS clauses - we have added a bunch of new built-in procedures You can take a look at our code on github [1] or you can go to our site[1] and download Memgraph. Please let us know what you like and what you don't like about it. Are there any features that you are missing? [1] https://github.com/memgraph/ [2] https://memgraph.com/
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