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ArangoDB 3.2 Alpha 2: Preview of Upcoming Release
The official ArangoDB 3.2 release is almost around the corner. In the meantime, you can play around and test some of the upcoming new features as they come along. The alpha2 version of the upcoming ArangoDB 3.2 is available for testing and can be downloaded here. If you already have ArangoDB installed, please remember to backup your data and run an upgrade after installing the alpha2 release. Note that this version is not suitable for production usage and is supplied only for testing purposes.
Not getting into too much detail yet – one major change in ArangoDB 3.2 is that it will contain two storage engines. The current storage engine based on memory mapped files and a new one backed by RocksDB. This alpha2 release contains some steps towards this goal, as well as independent improvements and previews of new features. Read more
Arangoexport – a tool for exporting data from ArangoDB
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. Read more
Florian Leibert & Luca Olivari Join 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: Consensus for Enhanced Data Stability
– 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.
Introduction
Consensus has its etymological roots in the latin verb consentire, which comes as no surprise to mean to consent, to agree. As old as the verb equally old is the concept in the brief history of computer science. It designates a crucial necessity of distributed appliances. More fundamentally, consensus wants to provide a fault-tolerant distributed animal brain to higher level appliances such as deployed cluster file systems, currency exchange systems, or specifically in our case distributed databases, etc. Read more
ArangoDB 2016 – A Year in Review
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
Starting an ArangoDB cluster the easy way
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. Read more
ArangoDB FoxxChallenge: Developer Competition
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: Read more
ArangoDB Snapcraft Packaging: Simplified Deployment
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 Ubuntu Core16.04 Read more
ArangoDB Secures €2.2M Investment Led by Target Partners
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 speed up their innovation cycles, simplify their technology stack and increase on-time and on-budget delivery of software projects.
Claudius Weinberger, Co-Founder and CEO, declares: “The previous funding round allowed us to build a rock-solid product and with this additional investment we can further accelerate our growth and expand internationally.” Read more
How to model customer surveys in a graph database
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