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Take Alpha 2 of the upcoming ArangoDB 3.7 for a spin!

Estimated reading time: 9 minutes

Estimated reading time: 8 minutes

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Alpha 1 of the upcoming ArangoDB 3.7

Estimated reading time: 6 minutes

Estimated reading time: 6 minutes

We released ArangoDB version 3.6 in January this year, and now we are already 6 weeks into the development of its follow-up version, ArangoDB 3.7. We feel that this is a good point in time to share some of the new features of that upcoming release with you!

We try not to develop new features in a vacuum, but want to solve real-world problems for our end users. To get an idea of how useful the new features are, we would like to make alpha releases available to everyone as soon as possible. Our goal is get early user feedback during the development of..

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What’s new in ArangoDB 3.6: OneShard Deployments and Performance Improvements

Estimated reading time: 11 minutes

Estimated reading time: 9 minutes

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?”.

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Release Candidate 2 of the ArangoDB 3.6 available for testing

Estimated reading time: 2 minutes

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..
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RC7 of ArangoDB 3.5: Streaming Transactions API

Estimated reading time: 3 minutes

We are closing in on the general availability of ArangoDB 3.5. With this (hopefully) last release candidate for the new version, we want to highlight a pretty neat new feature, which many of you requested – a much simpler way to use ACID transactions without the need to write any Javascript code.

Get the latest Releaseof ArangoDB 3.5: Community and Enterprise.

Before we dive in, we want to send another big THANK YOU to the many Avocaderas and Avocaderos who took the release candidates for a spin and shared their findings with us. Immensely helpful for the whole team to learn where we were..

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RC4 of ArangoDB 3.5: Configurable Analyzers & other ArangoSearch Upgrades

Estimated reading time: 4 minutes

Step-by-step we are getting closer and closer to the official release of ArangoDB 3.5. First of all, we want to send a biiiiig “Thank You!” to all the testers so far and all your feedback! Super helpful for us!

This Release Candidate post is dedicated to the four new features of ArangoSearch which extend the capabilities and provide pretty huge performance improvements, especially for queries including search & sorting.

Probably the most interesting new thing you can do (and the most requested) is to configure analyzers and provide custom stopword-lists among other configuration options for..

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RC3 ArangoDB 3.5: SmartJoins & Index Hints

Estimated reading time: 3 minutes

Ready for some hot new stuff? 🙂

Today we can share Release Candidate 3 of ArangoDB 3.5 with you and have a world premier up our sleeves.

Get the Enterprise edition of ArangoDB 3.5.

With this RC we want to highlight a brand new feature which we called SmartJoins (well, no… this name was actually not born in the marketing department).

SmartJoins allows users to shard multiple collections in a, well, smarter way. Join operations among huge distributed collections can run much more efficiently now and performance gets very close to a single instance. More on SmartJoins and a hands-on tutorial..

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ArangoDB 3.5 RC1: Graph Database Improvements with PRUNE & k Shortest Paths

Estimated reading time: 3 minutes

After a lot of planning, coding and testing we can finally share the first Release Candidate of ArangoDB 3.5 with you today. You can get it on our Technical Preview Download page: Community & Enterprise.

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Static binaries for a C++ application

Estimated reading time: 13 minutes

TL;DR; This describes how to generate a completely static binary for a complex C++ application which runs on all variants of Linux without any library dependency.
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Setting up Datacenter to Datacenter Replication in ArangoDB

Estimated reading time: 7 minutes

Please note that this tutorial is valid for the ArangoDB 3.3 milestone 1 version of DC to DC replication!

Interested in trying out ArangoDB? Fire up your cluster in just a few clicks with ArangoDB ArangoGraph: the Cloud Service for ArangoDB. Start your free 14-day trial here

This milestone release contains data-center to data-center replication as an enterprise feature. This is a preview of the upcoming 3.3 release and is not considered production-ready.

In order to prepare for a major disaster, you can setup a backup data center that will take over operations if the primary data center goes..

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