Join us at The Connected Data London Meetup on August 23ed 2018
We’ll be introducing you to the next generation of graph databases and we couldn’t be more excited!
Why Should I Attend?
Graph databases have demonstrated the ability for organizations, from cutting-edge startups to global enterprises, to extract data intelligence that was next to impossible with traditional DBMS.
However, first-generation graph databases fall short when it comes to delivering the real-time performance and scalability required to build modern applications.
Memgraph is on a mission to fulfil the true potential of graph databases and open the doors to a whole new era of applications, by bringing to life a high-performance, horizontally scalable graph platform.
On this evening, Dominik Tomicevic, our CEO, will take you through our journey building the world’s fastest and most scalable graph platform, describe new and exciting use-cases we’re working on, and conclude by giving you an insight into the future of real-time graph databases and the role they will play in powering the next generation of business applications.
What is it?
The Connected Data London meetup is for people interested in Connected Data technologies and developments. This includes Graph Database, Linked Data, semantics, Knowledge Representation and AI experts, users, enthusiasts and newbies.
When and Where is it?
- Thursday, August 23, 2018
6:30 PM to 9:00 PM - Skills Matter | Code Node 10 South Place EC2M 2RB · London
To get see the full agenda and register, visit meetup.com/Connected-Data-London/
About Memgraph
Memgraph is the world’s first native, in-memory, distributed graph platform. Memgraph unlocks the full power of graph analytics and transactions by delivering real-time performance on web-scale graphs with 500M+ edges/vertices. Learn more at www.memgraph.com.
Get in Touch:
Contact@memgraph.com
Read our documentation and download Memgraph Core for Free: memgraph.com/docs/
Join our community for free support:
memgraph.com/community/
Follow us on Twitter:
@memgraphdb
