Memgraph
at Kafka Summit London 2022!

Memgraph lets you stream data from Apache Kafka, build in-memory dynamic graphs, run graph algorithms and deploy real-time applications with ease.

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Meet the Memgraph team at the conference!
Kafka Summit London - The O2 London, April 25-26, 2022

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Katarina Šupe
Developer Relations Engineer
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Her journey there started with a summer internship, and her mathematics and computer science background was a perfect match to work in Memgraph. She enjoys contributing to different areas and exploring new real-time data visualization technologies. She sees the graph world as a future of data analytics due to the variety of algorithms used for stream processing.

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Ivan Despot
Developer Relations Engineer
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His passion for mathematics and graph theory inspired him to become part of the Memgraph team and start contributing to the field of graph analytics. Besides graph-based technologies, he is also interested in streaming platforms, stream processing, and event-driven development.

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Dominik Tomičević
Co-founder and CEO of Memgraph
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Dominik participated in Microsoft’s Imagine Cup and was one of the 4 teams that won it in 2011, meeting Bill Gates in the process. He is passionate about building distributed systems, highly concurrent and lock-free algorithms, and data structures. In his spare time, he loves airplanes and making cocktails.
P.S. He loves graphs!

What is 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 graph-based applications

Implementation language: C/C++
Storage engine architecture: In-Memory
On-disk persistance: Yes
ACID compliant: Yes
Streaming connectors: Apache Kafka, Apache Pulsar, Redpanda
Query language: Cypher
Licence: Open source
High-availability replication: Business source License
Custom Cypher procedures: Python, C/C++, Rust
Hosted Cloud service: Memgraph Cloud

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Build & Grow browser
Kafka & Memgraph

Memgraph can natively ingest streaming data from sources like Apache Kafka. Simply connect a Memgraph instance to a Kafka topic:

01

Download and start Memgraph (on Windows, Linux or Mac).

02

Define a transform module (Python, C, C++ or Rust) that maps messages to Cypher queries.

03

Create a stream in Memgraph tha connects to a Kafka topic...

04

Start the stream and process the incoming data.

Floor Plan
Find us at booth S13! 

Memgraph Platform