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

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Engineering & Development

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Data analysis tools

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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.

Launch tags:Analytics•SaaS•Developer Tools

Launch Team

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Can I use all NetworkX features and library functions from within memgraph, e.g. can I apply k_components to graph held within memgraph?

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6yr ago

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?

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6yr ago

@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?

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6yr ago

Maker

@philip_howson Yep!

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6yr ago

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?

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6yr ago

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?

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6yr ago

Bunch

Congrats people, the work you do is simply amazing! What are the next things you're going to focus on?

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6yr ago

Maker

@marstupa Thank you! On the core product side, we have a bunch of stuff going on, most notably high-availability replication + the whole data analytics and machine learning capabilities. We also want to offer more on the full managed side. Is there anything else you would like to see?

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6yr ago

Maker

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 are the other NetworX algorithms important to you?

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6yr ago

Congrats on the launch! :D Is it possible to use Memgraph for some IoT use-case? What would be the typical use-case?

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6yr ago

@karim_traiaia Thank you very much! :)

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6yr ago

Congrats on the launch and good luck for future! I am a heavy neo4j user -- will give a shot. We run our product, Pocofy, on neo4j as our primary DB store. Do you have plans to port/reuse APOC (https://neo4j.com/docs/labs/apoc...) to memgraph? We leverage APOC heavily, so it won't be a straightforward switch for us. Also, is cluster support, once implemented, a paid-only/Enterprise feature? Also, does the DB need to be brought down like neo4j CE, for a consistent backup? Thanks and good luck!

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6yr ago

@karim_traiaia Thanks for the clarification and answers. Will touch base further at your discourse forum. Good luck!

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6yr ago

This looks good, @karim_traiaia !! However, I am extremely curious to know the applications. Could please share applications where memgraph is used?

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6yr ago

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