How to compile it on Ubuntu? I am getting 'make: * No targets specified and no makefile found. Stop.' when I run 'make' and there is no configure file.

Also, I can't figure out a way to sign up to https://git.meli.delivery so I can create an 'issue.

The cargo.toml file gives it away as a Rust project, so install Rust then

> cargo build

to just compile, or

> cargo run

to compile & run

> cargo build --release

Otherwise you'd be compiling it in debug mode (which is really slow for most projects).

Good feedback. I might need similar feedback for my upcoming talk. I am about to give a talk about Cayley (open source graph db written in Go) and I am working on my slides http://oren.github.io/adventure-graphs

Let me know what you think and also join us on IRC (#cayley on freenode) if you find it interesting.

TL;DR: graphs are everywhere in the real world, so using a graph DB will be simpler and more efficient; examples of graph queries follow.

Thank you but may I ask who this presentation is for? Because from a quick glance, it's not very deep in technical details. I mean I'm curious about graph databases, but comparing them to vanilla SQL schemas isn't very informative. What I really want to know is what makes them different from denormalized schemas (which is what I expect most people would use).

there are a slack channel too in gophers.slack.com

There is a similar question on Cayley's google group - https://groups.google.com/forum/#!topic/cayley-users/nirhCbq...

Also, I know it's being used by some companies. you can ask directly the people who uses it on IRC - #cayley (freenode).

Cayley can be run in two ways: as HTTP service or as a Go library that you import from your Go app. To insert into Cayley when it's running as HTTP service you can do something like: `curl http://localhost:64210/api/v1/write -d '[{ "subject": "Krissy", "predicate": "loves", "object": "Justin Trudeau"}]'`.

To insert in the 'embedded' mode you can do: https://github.com/google/cayley/wiki/Cayley-Go-API-(as-a-Li....

Join #cayley on freenode and https://groups.google.com/forum/#!forum/cayley-users and get help from our community.

Cayley can store 130 million quads (2 nodes + connecting edge) on 20 GB harddrive. Join #cayley on freenode and https://groups.google.com/forum/#!forum/cayley-users and be part of our community!

Virtuoso, does 2 billion in 50GB. Just so you know. And hard graphs like the complete UniProt data of 20 billion+ in 800GB.

I spent the weekend with it and wrote my first impression - http://oren.github.io/blog/convox.html

looks great! Do you think it's a good replacement for meteor.js?