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NoSQL Benchmark Compares PostgreSQL, MongoDB, Neo4j, OrientDB and ArangoDB

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31–40 of 56 posts

Re: NoSQL Benchmark Compares PostgreSQL, MongoDB, Neo4j, OrientDB and ArangoDB

#33
post #3

I really, really distrust these kinds of evaluations when they come from someone whose product is included in the comparison. Even if everything is above-board, they're not going to publish if it shows their product just completely sucks at it. That kind of publication bias makes these kinds of results a lot less trustworthy than independent benchmarks even if you assume the best of intentions from the people putting…

this is more constructive that flooding the communications channels with hidden facts like Neo4j does.

Re: NoSQL Benchmark Compares PostgreSQL, MongoDB, Neo4j, OrientDB and ArangoDB

#37
post #18

Earlier quoted context omitted.

Ingo from ArangoDB here. I agree that vendor tests are always biased, of course you want to show that your product is competitive. But as there is no independent institution that compared our product and as we want to know where we stand with ArangoDB, Claudius did his own tests. And as the work is already done, why not share it. We tried our best to do it as open as possible. PostgreSQL performed very well and we ha…

> PostgreSQL performed very well Despite the fact that you crippled it by not using jsonb columns.

If they weren't going jsonb and the gin jsonb-path-opts index, they shouldn't have even included postgres.

Re: NoSQL Benchmark Compares PostgreSQL, MongoDB, Neo4j, OrientDB and ArangoDB

#38
post #36

The graph dataset is too small in size. It makes little sense for real-world usage.

Ingo from ArangoDB: Despite it's the whole dataset of a real-world use case. :)

https://snap.stanford.edu/data/soc-pokec.html

But of course, you need to test and decide on basis of your individual requirements and use cases.

Re: NoSQL Benchmark Compares PostgreSQL, MongoDB, Neo4j, OrientDB and ArangoDB

#40
post #36

The graph dataset is too small in size. It makes little sense for real-world usage.

Ingo from ArangoDB: Despite it's the whole dataset of a real-world use case. :) https://snap.stanford.edu/data/soc-pokec.html But of course, you need to test and decide on basis of your individual requirements and use cases.

Ingo - SNAP has a bunch of other "real-world use case" graphs available for free, many of which larger than this 1M-node, 30M-edge toy.

I've done a bunch of related benchmarkings, and the smallest real-world dataset I've used is the largest one on SNAP: orkut.

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