ArangoDB can be used as a backend data source for APIs that you compose with the popular open-source LoopBack Node.js framework.

In a recent blog article on StrongLoop, Nicholas Duffy explains how to use his new loopback-connector-arango connector to access ArangoDB:

Getting Started with the Node.js LoopBack Connector for ArangoDB

The tutorial uses the loopback-connector-arango which is available as npm and a demo application which is available from Github.

ArangoDB 2.6 comes with a specialized API for bulk document lookups. The new API allows fetching multiple documents from the server using a single request, making bulk document retrieval more efficient than when using one request per document to fetch.

Provided the documents keys are known, all the client application needs to do is to call the collection’s lookupByKeys method:

Max Neunhöffer from ArangoDB shows an use case for multi-model NoSQL databases on Strata + Hadoop World 2015 in London. Join his Session on 6th of May.

Multi-model databases and the art of aircraft maintenance

We describe a case study in aircraft fleet management, where we needed a database that would store data about all the different parts and subunits of an aircraft. A single aircraft already contains some 6,000,000 parts, not counting components.

The particular structure of the queries arising naturally from day-to-day processes quickly led to the insight that no single data model was..

This version is deprecated. Download the new version of ArangoDB

The third maintenance release for ArangoDB 2.5 is available for download. This maintenance release is to address some issues in ArangoDB 2.5 and to support future releases.

ArangoDB’s outpost in the Bay area is getting more and more crowded. CTO Frank @fceller has joined the team of our CEO Claudius @weinberger, and ArangoDB´s lead developers: Max @neunhoef & Michael @mchacki. The latter are in San Francisco for a while already.

You can meet our team by attending several Meetups, the Collision Conf in Vegas (5-7 May) or at the @GeekdomSF office at Folsom Street #100, near Moscone Center. Get in touch, grab’ a coffee and join the discussions about NoSQL and multi-model databases. We are here to stay – at least until the end of May.

We are looking forward to joining the tech crowd at the Collision Conf that will take place in just a few weeks. Join us at this amazing event downtown Las Vegas on 5–6 May 2015.

As a sister event of Web Summit – Europe’s largest tech conference attracting over 20,000 attendees from around the world – Collision is a new type of tech conference for America: “A meeting place for people who are both building the companies of tomorrow and managing the companies of today.” – (Collision Conf)

We are proud to get a chance to share our vision on multi-model databases and present ArangoDB to the..

Inspired by the feature request in Github issue #1298, we added update and replace support for ArangoDB’s import facilities.

This extends ArangoDB’s HTTP REST API for importing documents plus the arangoimp binary so they can not only insert new documents but also update existing ones.

This version is deprecated. Download the new version of ArangoDB

A maintenance release of ArangoDB 2.5 is available for download. The latest v2.5.2 comes with cluster speedups, some fixes in cluster mode and improved graph queries.

You can start an ArangoDB cluster on Digital Ocean with a single command, other cloud services will follow in the next days. Please try the new release, maybe on Digital Ocean with the new cluster setup script, and provide us your feedback.

Which cloud provider should we support next?

Here are the changes in the current maintenance release:

How often did you typed

var db = require("internal").db;

in the arangod console?

If you are familiar with the arangosh JavasScript shell than you probably use a custom .arangosh.rc startup script in your home-directory which defines your own extra variables and functions that you need often.

ArangoDB 2.6 provides a specialized export API for exporting all documents from a collection and shipping them to a client application. It is rather limited but faster than the general-purpose AQL cursor API and can store its snapshots using less memory.