The ArangoDB team gave me an opportunity to write a tutorial about arangochair. Arangochair is the first attempt to listen for changes in the database and execute actions like pushing a document to the client or execute an AQL query. Currently it is limited to single nodes.

This tutorial is loosely based on the example at baslr/arangochair-serversendevents-demo

arangochair is a Node.js module hosted on npm which make it fairly easy to install. Just runnpm install arangochair and its installed.

With the release of the initial alpha of ArangoDB version 3.2 we also include the preview of the new export tool arangoexport. Alpha2 of ArangoDB 3.2 can be downloaded here. An export functionality was initially requested by one of our community members to view an ArangoDB graph view the Cytoscape visualizer.

Arangoexport is capable of exporting a graph or certain collections of a graph to xgmml, Cytoscape’s graph format. But arangoexport is not limited to this. It can also generate JSON or JSONL data exports of arbitrary collections.

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.

– law of the polish-lithuanian common-wealth, 1505

A warning aforehand: this is a rather longish post, but hang in there it might be saving you a lot of time one day.

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..

Recently, we have got a lot of feedback about the fact that standing up an ArangoDB cluster “manually” is an awkward and error-prone affair. We have been aware of this for some time, but always expected that most users running ArangoDB clusters would do so on Apache Mesos or DC/OS, where deployment is a breeze due to our ArangoDB framework.

However, for various valid reasons people do not want to use Apache Mesos and thus are back to square one with the problem of deploying an ArangoDB cluster without Apache Mesos.

The Challenge

Starting today we launch the ArangoDB #FoxxChallenge and the winner will receive a brand new Amazon Echo.

Use your knowledge about everyday needs in projects and create a Foxx service that could be helpful for others. If you need some inspiration here some ideas:

ArangoDB Packaging

With ArangoDB 3.0 we reworked the build process to be based completely on cmake. The packaging was partly done using cpack (Windows, Mac), for the rest regular packaging scripts on the SuSE OBS were used. With ArangoDB 3.1 we reworked all packaging to be included in the ArangoDB Source code and use CPack. Users can now easily use that to build their own Packages from the source, as we do with Jenkins. Community member Artur Janke (@servusoft) contributed the new ubuntu snap packaging assisted by Michael Hall (@mhall119). Big thanks for that!

Download packages for Snap..

Funding to accelerate the company’s product development and international expansion

Munich/Cologne (Germany), November 24th, 2016: – ArangoDB GmbH (www.arangodb.com), the company behind one of the fastest growing next generation databases, has landed a 2.2 million Euro investment led by Munich-based venture capital firm Target Partners (www.targetpartners.de). The company develops the open-source NoSQL database ArangoDB, which combines three major data models (graph, key/value, JSON-documents) in one database and one query language. ArangoDB’s product allows startups and enterprises alike to..

Use-Case

The graph database use-case we are stepping through in this post is the following: In our web application we have several places where a user is led through a survey, where she decides on details for one of our products. Some of the options within the survey depend on previous decisions and some are independent.

Examples:

• Configure a new car
• Configure a new laptop
• Book extras with your flight (meal, reserve seat etc.)
• Configure a new complete kitchen
• Collect customer feedback via logic-jump surveys

We would like to easily offer a generic page which can be seeded with any..