In addition to our community version of ArangoDB 3.1 we are excited to release our first Enterprise Edition today. The Enterprise Editions of ArangoDB focuses on enterprise-scale problems and provides useful features to meet the requirements of enterprise customers. You can download a free evaluation-only version here: Download Enterprise Edition. ArangoDB Enterprise Edition also comes with the Enterprise subscription, including comprehensive support SLA.

This first ArangoDB Enterprise Edition includes three major features:

• SmartGraphs: Scale with graphs to a cluster and stay performant...

Some graph database vendors propagandize index-free adjacency for the implementation of graph models. There has been some discussion on Wikipedia about what makes a database a graph database. These vendors tried to push the definition of index-free adjacency as foundation of graph databases, but were stopped by the community.

GraphQL is a query language created by Facebook for modern web and mobile applications as an alternative to REST APIs. Following the original announcement alongside Relay, Facebook has published an official specification and reference implementation in JavaScript. Recently projects outside Facebook like Meteor have also begun to embrace GraphQL.Users have been asking us how they can try out GraphQL with ArangoDB. While working on the 2.8 release of our NoSQL database we experimented with GraphQL and published an ArangoDB-compatible wrapper for GraphQL.js. With the general availability of..

We welcome 2016 with our first big news yet – the release of ArangoDB 2.8!

Now you can use new AQL keywords to traverse a graph even more convenient – a big deal for those who like to get the maximum out of their connected data. ArangoDB is getting faster with every iteration, in this release we have implemented several AQL functions and arithmetic operations in super-fast C++ code, optimizer rules and indexing improved further to help you getting things done faster. Download ArangoDB 2.8 here.

Array Indexes

The added Array Indexes are a major improvement to ArangoDB that you will love and..

The first beta release of ArangoDB 2.8 is available for download now, adding Array Indexes and Graph Traversals in AQL. Please try the new version, report bugs on Github and provide us your valuable feedback.

Check out the latest blog posts to get some more background about performance improvements and added features.

Max wrote an inspiring article about graphs in data modeling on Medium, packed with his own thoughts – “to sort out some things in my brain” (Max).

He asks and answers the question: Are graphs and graph databases useful in data modeling, and if so, for what and under which circumstances?

In his article, he goes all the way down from the theoretical approach of what is a graph? towards storing a graph in different storage models (RDBMS, document store and graph databases) to querying a graph and finally to his personal conclusion.

After defining a graph and filling it with some vertices and edges (see part 1), the time has come to retrieve information out of the graph.

Please take a look at the defined graph operations of ArangoDB. These will be the base for our next examples. (Yes, there may be other ways to get the results, this post does not claim completeness!)

We will start with some easy stuff and then smoothly advance in complexity.

Question: “How many edges are defined within the graph?”

Answer:

First we have to define an AQL-query:

String query = "for i in GRAPH_EDGES('Academical', null) return i";

In our..

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..

With ArangoDB 2.2 the new graph API was released featuring multi collection graphs (see blog). With the new version (2.2.1) of arangodb-java-driver the new graph API is supported. In the following you can find a small example of creating a graph with Java.

For the import via maven and configuring the driver, please read the Basics and Driver Setup. For the following we assume, that arangodbDriver is a configured instance of the driver.

So let’s start the whole thing…

In the database we need a graph containing collections for the vertices and edges (defined in edge definitions).

This version is deprecated. Download the new version of ArangoDB

With the 2.2 release we proudly announce that we now offer the feature of multi collection graphs. This allows you to group an arbitrary set of ArangoDB collections into one graph. In order to do this grouping you execute the following steps in arangosh or Foxx: 1. Require the general-graph module and create a graph.

var graph_module = require("org/arangodb/general-graph");
var graph = graph._create("myGraph");

1. Add collections to be used as vertex collections. If the collections are not yet created, ArangoDB will create them..