Steps to reduce ArangoDB’s resource footprint

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This is an update of the 2016 blog post How to put ArangoDB to Spartan-Mode.

A lot of things have changed in the last years. We moved our API implementation from JavaScript to C++. ArangoDB now has a new (default) storage engine, namely RocksDB instead of MMFiles. RocksDB is a great storage engine. However, it also trades memory for speed. If you start with the default configuration you might end up with using much more memory for ArangoDB than expected. Read more

ArangoDB receives Series A Funding led by Bow Capital

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Phew, it’s been quite a ride, but today the whole team is super excited to announce a $10 million Series A funding for ArangoDB, our native multi-model database.

We feel honored and frankly a bit proud that Bow Capital is leading this investment round and shows their trust in our product, team, and amazing community. Vivek, Suraj and team – it is an absolute pleasure teaming up with you! Getting the chance to learn from the leaders guiding TIBCO to its remarkable success is an absolute privilege. Read more

Sort-Limit Optimization in AQL

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Sometimes we want sorted output from a query and, for whatever reason, cannot use an index to do the sorting. In ArangoDB, we already cover this critical case with finely tuned query execution code. Sometimes though, we do not need to return all output, and follow our SORT clause with LIMIT. In ArangoDB 3.4 and earlier, we did not handle this case any differently from returning the full data, at least with respect to sorting – we would sort the full input, then apply the limit afterwards.

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Building a Mini Database Cluster for Fun – LEGO Edition

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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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Sharding: freedom, when you need it least?

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“I must have a prodigious amount of mind;
it takes me as much as a week, sometimes, to make it up!”
― Mark Twain

How many shards should one choose, when creating collections in ArangoDB clusters?

TLDR: Don’t be too shy with sharding your data in many shards across your cluster. Be mindful however that AQL-heavy applications might not profit as much from heavy distribution. Read more

Run multiple versions of ArangoDB in parallel using the .tar.gz distribution

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This post uses the new .tar.gz binary distribution of ArangoDB to run multiple versions of ArangoDB alongside each other on the same machines. We will do a production-ready deployment on 3 cloud instances with authentication, TLS encryption, (self-signed) certificates and systemd service. In the end, we show how to perform a rolling upgrade for one of the clusters to a new version. Read more

Using The Linux Kernel and Cgroups to Simulate Starvation

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When using a database like ArangoDB it is also important to explore how it behaves once it reaches system bottlenecks, or which KPIs (Key Performance Indicators) it can achieve in your benchmarks under certain limitations. One can achieve this by torturing the system by effectively saturating the resources using random processes. Read more

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