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.Interested in trying out ArangoDB? Fire up your cluster in just a few clicks with ArangoDB ArangoGraph: the Cloud Service..

With ArangoDB 3.4 we finally made the RocksDB storage engine the default. This decision was made after a year of constant improvements to the engine to make it suitable for all our customer’s use cases.

Improved Read / Write-Performance

We massively improved the binary on-disk storage format with the 3.4 release. This format allows inserting new documents in an order that RocksDB prefers. Using the new format will reduce the number of compactions that RocksDB needs to do for the ArangoDB documents stored, allowing for better long-term insertion performance. The sustained insertion performance..

“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.

How a database works and performs in a single instance setup is becoming more and more irrelevant lately, if said database cannot scale. Distributed, clustered databases are, as far as one can tell right now, the future.

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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.

Interested in trying out ArangoDB? Fire up your cluster in just a few clicks with ArangoDB ArangoGraph: the Cloud Service for ArangoDB. Start your free 14-day trial here

The new `.tar.gz` binary archive

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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.

This however will drown your system effectively – it may hinder you from capturing statistics, do debugging, and all other sorts of things you’re used to from a normally running system. The more clever way is to tell your system to limit the available resources for..

2018 has been a fantastic year for the ArangoDB project. The community has welcomed many new members, customers, supporters and friends. Together we’ve reached new “heights” – accomplished goals, shipped a big brand-new release and improved ArangoDB on all fronts.

It has been a few months since we first released the Kubernetes operator for ArangoDB and started to brag about it. Since then, quite a few things have happened.

For example, we have done a lot of testing, fixed bugs, and by now the operator is declared to be production ready for three popular public Kubernetes offerings, namely Google Kubernetes Engine (GKE), Amazon Elastic Kubernetes Service (EKS) and Pivotal Kubernetes Service (PKS) (see here for the current state of affairs).

The ability to see your data from various perspectives is the idea of a multi-model database. Having the freedom to combine these perspectives into a single query is the idea behind native multi-model in ArangoDB. Extending this freedom is the main thought behind the release of ArangoDB 3.4.

We’re always excited to put a new version of ArangoDB out there, but this time it’s something special. This new release includes two huge features: a C++ based full-text search and ranking engine called ArangoSearch; and largely extended capabilities for geospatial queries by integrating Google™ S2..

For ArangoDB 3.4 we already added 100,000 lines of code, happily deleted 50,000 lines and changed over 13,000 files until today. We merged countless PRs, invested months of problem solving, hacking, testing, hacking and testing again and are super excited to share the feature complete RC1 of ArangoDB 3.4 with you today.

Download the technical preview package for your OS: RC1 3.4 Community and RC1 3.4 Enterprise.

The team implemented over 40 new features, improvements and optimizations. In this short post, we will highlight just a few of them. You can find a full list in the release notes and..

Firstly, a huge thank you to all our customers that took the time to review ArangoDB for the Gartner Peer Insights “Voice of the Customer”: Operational Database Management Systems Market report. Without your help and assistance, the continued improvements and enhancements we make to our software wouldn’t be possible. We are overwhelmed to be listed as one of six OPDBMS solutions in the Customers’ Choice Zone. We believe this is a remarkable achievement.