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Welcome 2020! To kick off this new year, we are pleased to announce the next version of our native multi-model database. So here is ArangoDB 3.6, a release that focuses heavily on improving overall performance and adds a powerful new feature that combines the performance characteristics of a single server with the fault tolerance of clusters.

If you would like to learn more about the released features in a live demo, join our Product Manager, Ingo Friepoertner, on January 22, 2020 – 10am PT/ 1pm ET/ 7pm CET for a webinar on “What’s new in ArangoDB 3.6?”.

We are working on the release of ArangoDB 3.6 and today, just in time for the holiday season, we reached the milestone of RC2. You can download and take the RC2 for a spin: Community Edition and Enterprise Edition.

The next version of the multi-model database will be primarily focused on major performance improvements. We have improved on many fronts of speeding up AQL and worked on things like:

• Subquery performance
• Parallel execution of AQL queries that allows to significantly reduce gathering time of data distributed over several nodes
• Late document materialization that reduces the need..

ArangoDB is a native multi-model database that could be deployed as a single database, in active failover mode or as a full blown database cluster in the cloud. To try things out I can even run a cluster on my local development machine.Well, yes… but I wanted to be more real, 24×7, with the opportunity to manipulate all the things…Inspired by other Raspberry PI & mini-cluster projects, I thought I could build my own, bare metal, desk compatible Mini PC database cluster.Interested in trying out ArangoDB? Fire up your cluster in just a few clicks with ArangoDB ArangoGraph: the Cloud Service..

For projects that are BSD or Apache 2 licensed, Linenoise (by Salvatore Sanfilippo) is a pretty small, portable GNU readline (GPL) replacement. Based on the work of Salvatore and 10gen Inc. this Linenoise NG implementation adds UTF8 and Windows support, uses a BSD license and can be used in any kind of program.

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..

Still waiting for the 2.8 release announcement…So in the meantime, let’s have a look at the latest maintenance release of ArangoDB 2.7.

Here are the changes that come with version 2.7.5:

When I work with ArangoDB on my Mac, I usually install ArangoDB via homebrew and do tests on the latest new developments based on the devel-branch, compiling ArangoDB right from source.

To test a feature in a special version I use docker images that need a virtual machine on MacOS. I struggled with Boot2Docker several times and recently tried Docker Machine – with the Web UI Kitematic – currently in beta.

ArangoDB 2.8 (beta3) is available for testing.

The last beta release of ArangoDB 2.8 – at least for 2015 – comes with the following bugfixes and improvements:

ArangoDB 2.7.3 – a maintenance release – is ready for download.

Get ArangoDB 2.7.3 now

The second beta of ArangoDB 2.8 is available for testing. Now it’s your turn – give it a try, report bugs and provide us with your early feedback on the new features (Array Indexes and graph traversal in AQL). Do you like what you see?

Here’s what changed recently (beta 1 / beta 2):