As data gets bigger, faster and more complex, you need to arm yourself with the best tools. In this webinar we’ll see how KeyLines and ArangoDB combine to create powerful and intuitive data analysis platforms. Read more
Thinking about your data as a highly connected set of information is a powerful way to gain insights, solve problems and bring products faster into the hands of your users.
Unlike other databases, relationships take the first priority in graph databases and with ArangoDBs multi-model approach for graphs, documents and key/value pairs you can even switch between models or combine them in a single query.
The graph concept is booming but still new to many. So we invested a few bazillion coffees and some night shifts to come up with a good plan for a Graph Course:
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.
Configure a new car
Configure a new laptop
Book extras with your flight (meal, reserve seat etc.)
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. With SmartGraphs you can use the “smartness” of your application layer to shard your graph efficiently to your machines and let traversals run locally
Encryption Control: Choose your level of SSL encryption
Auditing: Keep a detailed log of all the important things that happened in ArangoDB
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. Read more
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. Read more
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. Read more