Florian Leibert (CEO, Mesosphere) and Luca Olivari (Oracle, MongoDB) joining Advisory Council of ArangoDB


We have some amazing news today. Two brilliant minds are joining ArangoDB and our recently founded Advisory Council. Florian Leibert is CEO of Mesosphere and Luca Olivari former Executive at Oracle and MongoDB. Together with their rare expertise we can further sharpen our focus on cutting edge technologies and accelerate our growth.

Maybe a few words about Florian and Luca: Read more

ArangoDB 2016 – A Year in Review

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Important Steps this Year

2016 is about to see its final days and things are calming down, so Frank and I thought about the year that lies behind us. It was a really exciting year for the whole ArangoDB project and for us as founders. In 2016 we saw our team doubling in size, ArangoDB 3 series got launched and we became part of the Target Partners family. Many other great things happened this year and with this post we want to take the chance to say “Thank you” to all our supporters.

For the whole team it was and is super motivating to see that practically the same growth we experienced team-wise happened to the ArangoDB community. Exceeding the 3000 stargazer landmark right before Christmas was indeed a nice present, but it also reminds us that more and more people rely on what we create. Read more

Open Source DC/OS: The modern way to run a distributed database

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The mission of ArangoDB is to simplify the complexity of data work. ArangoDB is a distributed native multi-model NoSQL database that supports JSON documents, graphs and key-value pairs in one database engine with one query language. The cluster management is based on Apache Mesos, a battle-hardened technology. With the launch of DC/OS by a community of more than 50 companies all ArangoDB users can easily scale. Read more

Benchmark: PostgreSQL, MongoDB, Neo4j, OrientDB and ArangoDB


In this blog post – which is a roundup of the performance blog series – I want to complete the picture of our NoSQL performance test and include some of the supportive feedback from the community. First of all, thanks for all your comments, contributions and suggestions to improve this open source NoSQL performance test (Github). This blog post describes a complete overhaul of the test with no need to read all the previous articles to get the picture – have a look at the appendix below to get all the details on hard- and software, the dataset and tests, used in this NoSQL performance comparison. Read more

Multi-model benchmark round 1 – completed

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The latest edition of the NoSQL Performance Benchmark (2018) has been released. Please click here

It’s time for another update of my NoSQL performance blog series. This hopefully concludes the first part of this series with the initial databases ArangoDB, MongoDB, Neo4J and OrientDB and I can now start to check out other databases. I’m getting a lot of requests to test others as well and I’ll try to add them as soon as possible. Pull requests to my repository are also more than welcome. Remember it is all open-source.

The first set of benchmarks was started as a proof that multi-model can compete with specialized solutions and I started with the corresponding top dogs (Neo4J and MongoDB) for graphs and documents. After the first blog post, we were asked by the community to include OrientDB as the other multi-model database, too, which makes sense and therefore I expanded the initial lineup.

Concluding the tests did take a bit longer than expected, because vendors took up the challenge and improved their products with impressive results – as we asked them to do. Still, for each iteration we needed some time to run all tests, see below. However, on the upside, everyone can benefit from the improvements, which is an awesome by-product of the benchmark tests. More info

Performance comparison between ArangoDB, MongoDB, Neo4j and OrientDB

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The latest edition of the NoSQL Performance Benchmark (2018) has been released. Please click here

My recent blog post “Native multi-model can compete” has sparked considerable interest on HN and other channels. As expected, the community has immediately suggested improvements to the published code base and I have already published updated results several times (special thanks go to Hans-Peter Grahsl, Aseem Kishore, Chris Vest and Michael Hunger).

Please note: An update is available (June ’15) and a new performance test with PostgreSQL added.

Here are the latest figures and diagrams:


The aim of the exercise was to show that a multi-model database can successfully compete with special players on their own turf with respect to performance and memory consumption. Therefore it is not surprising that quite a few interested readers have asked, whether I could include OrientDB, the other prominent native multi-model database.

More info

Native multi-model can compete with pure document and graph databases

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Claudius Weinberger, CEO ArangoDB

TL;DR Native multi-model databases combine different data models like documents or graphs in one tool and even allow to mix them in a single query. How can this concept compete with a pure document store like MongoDB or a graph database like Neo4j? I myself and a lot of folks in the community asked that question.

So here are some benchmark results: 100k reads → competitive; 100k writes → competitive; friends-of-friends → superior; shortest-path → superior; aggregation → superior.

Feel free to comment, join the discussion on HN and contribute – it’s all on Github.

The latest edition of the NoSQL Performance Benchmark (2018) has been released. Please click here

More info