Last Wednesday, we announced the launch of Memgraph 2.1. We focused on providing more options for ingesting data into Memgraph (Apache Pulsar & Redpanda), and we also enhanced the already existing methods (Apache Kafka). Next up is a live demo and a couple of additional articles on the subject. So, here we go👇
On December 1st, 5 PM CET, join us for the Memgraph 2.1 live demo. Your hosts will be Dominik & Buda, founders of Memgraph. You'll have the opportunity to:
Join us for the live demo
(press "Reminder On" on YouTube)
So what is librdkafka, and how does it handle offsets? Librdkafka is a C client with C++ wrappers that implements the Kafka protocol, and offset management for consumers is done automatically unless configured otherwise. This means that for manual offset management, each time Memgraph processes a Kafka message successfully, it must instruct librdkafka to commit that offset.
Read more about how we implemented offset management for Apache Kafka consumers.
This tutorial focuses on processing real-time movie ratings streamed through Redpanda, a Kafka compatible event streaming platform. This data can be used to generate movie recommendations with the help of a graph database and the Cypher query language.
Learn more about it on our blog.
If you, or someone awesome you know, want to help us build the future of graph apps, check out our open positions below. 👇
Find all open positions here.
Let us know what you are building with Memgraph and how we can help. Simply drop us a note on our community forum or Discord server, and we’ll be right with you!
If you’d like to give Memgraph a spin, you can download it for free.
That’s it for today. Have a great rest of the week and until next time!
With ❤️ from the Memgraph team
