ArangoDB is multithreaded and able to use several CPU-cores at once. Because of that access to common data structures to these threads have to be protected from concurrent access. ArangoDB currently uses mutexes, spinlocks and RW-locks for that. With the ongoing development of the MVCC the number of situations where protected access is needed grows significantly. If locking is done too often the scalability is effectively limited to one core. So this test was done to estimate the costs, and evaluate other solutions – so called lockless programming with atomics.

We have moved our ArangoDB Github repository from triAGENS to arangodb.

I have been looking at many AQL queries during the last few weeks…

Looking back, I can say that the JSON query execution plans provided by the explain() method have provided me with a lot of useful information about how the AQL optimizer had transformed a given query. This has helped testing and improving the query optimizer a great deal.

However, the JSON output produced by explain() is so detailed that even for the simplest cases queries it will span multiple screens. This is far too much for quickly assessing what a query will be doing and how it will be executed.

I therefore quickly put..

More than two years ago, we compared the bulk insert performance of ArangoDB, CouchDB and MongoDB in a blog post.

The original blog post dates back to the times of ArangoDB 1.1-alpha. We have been asked several times to re-run the tests with the current versions of the databases. So here we go.

Test setup

We have again used the PHP bulk insert benchmark tool to generate results for MongoDB, CouchDB, and ArangoDB. The benchmark tool uses the HTTP bulk documents APIs for CouchDB and ArangoDB, and the binary protocol for MongoDB (as MongoDB does not have an HTTP bulk API). The benchmark tool was..

When we create websites we don’t just create single pages that have no connection to other Web pages. From the beginning, hyperlinks were part of the core concept of the World Wide Web and for that reason HTML. Links are so essential to the Web that they are even used to rank the popularity of the Web pages on search engines. And who hasn’t gone on a journey through Wikipedia clicking link after link? Even though we all know and appreciate the importance of links on Websites, we rarely use links in our Web APIs.Why is that?

docker run -p 8529:8529 arangodb/arangodb

I’ve created an automated build repository on docker, so that you can easily start a docker container with the latest stable release. If you miss anything in the container, please let me know. Thanks to frodenas, hipertracker, joaodubas, webwurst who also created dockerfiles.

ArangoDB

A distributed open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient sql-like query language or JavaScript extensions.

Start a ArangoDB instance

In order to start an ArangoDB instance..

This version is deprecated. Download the new version of ArangoDB

The new query optimizer is ready to rock the world. We are proud to announce the release of ArangoDB 2.3, available for download now. ArangoDB 2.3 is available for Linux, Windows and Mac and provides support for 16 programming languages.

Overhauled Query Optimizer

The query optimizer and executor for AQL queries have been completely overhauled. Especially the optimization of distributed queries has been improved significantly.

The query optimizer can now apply much more optimizations than in previous versions of ArangoDB. We..

This post is outdated, please see more recent infos below.

Please see a technical article about our current Pregel integration in our blog, details about the various Pregel algorithms ArangoDB supports in our documentation and a tutorial about Community Detection with real data in our training center.

Ever since Google introduced Pregel as a system for large-scale graph processing we thought of a way how to enable this feature in ArangoDB. So we set up an ArangoDB cluster, created some huge graphs and started evaluating the concept. We came up with a new ArangoDB module (called..

The current arangodb-java-driver supports the usage of ArangoDB’s batch and asynchronous interface. This post will guide you through the usage of these features.

The batch interface

The batch interface enables the user to stack a series of calls and execute them in a batch request. Each stacked request returns a request id that can be used to retrieve the single results from the batch response. So how do you use this feature in the java driver ?

First we create an instance of the java driver:

ArangoConfigure configure = new ArangoConfigure(); configure.init(); ArangoDriver driver = new..

A new arangodb-java-driver is out now, it’s on github. The driver is available for ArangoDB from version 2.2 onwards.

How to include the driver in your application ?

The driver is available as maven artifact. To add the driver to your project with maven, add the following code to your pom.xml:

<dependencies>
  <dependency>
    <groupId>com.arangodb</groupId>
    <artifactId>arangodb-java-driver</artifactId>
    <version>2.2</version>
  </dependency>
  ....
</dependencies>