Building a Mini Database Cluster for Fun – LEGO Edition

Mini PC Database Cluster for Fun Lego

ArangoDB is a native multi-model database that could be deployed as a single database, in active failover mode or as a full blown database cluster in the cloud. To try things out I can even run a cluster on my local development machine.

Well, yes… but I wanted to be more real, 24×7, with the opportunity to manipulate all the things…

Inspired by other Raspberry PI & mini-cluster projects, I thought I could build my own, bare metal, desk compatible Mini PC database cluster.

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ArangoDB 2.8 w/ AQL Graph Traversals, Array Indexes, Aggregation

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We welcome 2016 with our first big news yet – the release of ArangoDB 2.8!

Now you can use new AQL keywords to traverse a graph even more convenient – a big deal for those who like to get the maximum out of their connected data. ArangoDB is getting faster with every iteration, in this release we have implemented several AQL functions and arithmetic operations in super-fast C++ code, optimizer rules and indexing improved further to help you getting things done faster. Download ArangoDB 2.8 here. Read more

Running ArangoDB on a Mac with Docker and Kitematic / Docker-Machine


When I work with ArangoDB on my Mac, I usually install ArangoDB via homebrew and do tests on the latest new developments based on the devel-branch, compiling ArangoDB right from source.

To test a feature in a special version I use docker images that need a virtual machine on MacOS. I struggled with Boot2Docker several times and recently tried Docker Machine – with the Web UI Kitematic – currently in beta. Read more

ArangoDB 2.8 (beta 3)


ArangoDB 2.8 (beta3) is available for testing.

The last beta release of ArangoDB 2.8 – at least for 2015 – comes with the following bugfixes and improvements:

  • web interface: fixed a graph display bug concerning dashboard view

  • web interface: fixed several bugs during the dashboard initialize process

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ArangoDB 2.8 (beta 2)


The second beta of ArangoDB 2.8 is available for testing. Now it’s your turn – give it a try, report bugs and provide us with your early feedback on the new features (Array Indexes and graph traversal in AQL). Do you like what you see?

Here’s what changed recently (beta 1 / beta 2): Read more

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