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Memgraph 1.0

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

5.0•1 review•

2 followers

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

5.0•1 review•

2 followers

Visit website
Engineering & Development
•
Data analysis tools
•
Databases and backend frameworks
Memgraph is an in-memory graph database engineered to power real-time operational graph applications. Memgraph supports the Cypher and integrates deeply with the Python ecosystem to help you easily develop and deploy graph-based applications.
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Company Info
memgraph.com
Memgraph 1.0 Info
Launched in 2020View 1 launch
Forum
p/memgraph-1-0
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Do you use Memgraph 1.0?

Memgraph 1.0 gallery image
Memgraph 1.0 gallery image
Memgraph 1.0 gallery image
Memgraph 1.0 gallery image
Launch tags:
Analytics•SaaS•Developer Tools
Launch Team
Karim TraiaiaDominik TomicevicMarko Budiselic

What do you think? …

Philip Howson
Philip Howson
Can I use all NetworkX features and library functions from within memgraph, e.g. can I apply k_components to graph held within memgraph?
Report
5yr ago
Marko Budiselic
Marko Budiselic
Maker
@philip_howson Yes, Memgraph has an embedded Python interpreter so you can run any NetworkX graph algorithm or any other Python code. The code has access to the whole graph, so a bunch of options exists. The entire Python integration is still in the early days, and we have a bunch of plans on how to improve further. What other Python libraries do you generally use?
Report
5yr ago
Philip Howson
Philip Howson
@marko_budiselic sounds great! Looks like an amazing product, definitely going to check it out! I assume since it has a python interpreter built in, in theory I can use pretty much any python module?
Report
5yr ago
Marko Budiselic
Marko Budiselic
Maker
@philip_howson Yep!
Report
5yr ago
Ambarish Chandrasekaran
Ambarish Chandrasekaran
Congrats on the launch :) As a neo4j user, will try this out soon and let you know. Also, does version 1 comes with cluster support?
Report
5yr ago
Dominik Tomicevic
Dominik Tomicevic
Maker
@ambi Thank you! Take it for a spin and let us know if we can help out - we would appreciate the feedback. We will have full high availability replication with automatic failover ready in the next quarter - we reimplemented the old one we had to significantly improve performance. Stay tuned for that. Btw, what's your use-case for using graphs?
Report
5yr ago
Jacob Waern
Jacob Waern
Congrats Dominik!
Report
5yr ago
Dominik Tomicevic
Dominik Tomicevic
Maker
@jacob_waern Thanks Jacob!
Report
5yr ago
5.0
Based on 1 review
Review Memgraph 1.0?
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