Setting up Datacenter to Datacenter Replication in ArangoDB

00Architecture, cluster, General, how to, Releases, ReplicationTags: , ,

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

This milestone release contains data-center to data-center replication as an enterprise feature. The 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 down. For a server failure, the resilience features of ArangoDB can be used. Data center to data center is used to handle the failure of a complete data center.

Data is transported between data-centers using a message queue. The current implementation uses Apache Kafka as message queue. Apache Kafka is a commonly used open source message queue which is capable of handling multiple data-centers. However, the ArangoDB replication is not tied to Apache Kafka. We plan to support different message queues systems in the future.

The following contains a high-level description how to setup data-center to data-center replication. Detailed instructions for specific operating systems will follow shortly. Read more

The new Satellite Collections Feature of ArangoDB

01GeneralTags: ,

With the new Version 3.2 we have introduced a new feature called “Satellite Collections”. This post explains what this is all about, how it can help you, and explains a concrete use case for which it is essential.

Background and Overview

Join operations are very useful but can be troublesome in a distributed database. This is because quite often, a join operation has to bring together different pieces of your data that reside on different machines. This leads to cluster internal communication and can easily ruin query performance. As in many contexts nowadays, data locality is very important to avoid such headaches. There is no silver bullet, because there will be many cases in which one cannot do much to improve data locality.

One particular case in which one can achieve something, is if you need a join operation between a very large collection (sharded across your cluster) and a small one, because then one can afford to replicate the small collection to every server, and all join operations can be executed without network communications.

Read more

ArangoDB 3.2 beta release:
Pluggable Storage Engine with RocksDB, Distributed Graph Processing and a ClusterFoxx

01General, ReleasesTags: , , , , , ,

We’re excited to release today the beta of ArangoDB 3.2. It’s feature rich, well tested and hopefully plenty of fun for all of you. Keen to take it for a spin? Get ArangoDB 3.2 beta here.

With ArangoDB 3.2, we’re introducing the long-awaited pluggable storage engine and its first new citizen, RocksDB from Facebook

  • RocksDB: You can now use as much data in ArangoDB as you can fit on your disk. Plus, you can enjoy performance boosts on writes by having only document-level locks (more info below).
  • Pregel: Furthermore, we implemented distributed graph processing with Pregel for discovering hidden patterns, identify communities and perform in-depth analytics of large graph data sets.
  • ClusterFoxx: Another important upgrade is what we internally and playfully call the ClusterFoxx. The Foxx management internals have been rewritten from the ground up to make sure multi-coordinator cluster setups always keep their services in sync and new coordinators are fully initialised even when all existing coordinators are unavailable.
  • Enterprise: Working with some of our largest customers, we’ve added further security and scalability features to ArangoDB Enterprise like LDAP integration, Encryption at Rest, and the brand new Satellite Collections.

The goal of the whole ArangoDB 3 release cycle has been to scale the multi-model idea to new heights. Getting ‘ready’ for large scale applications is not done overnight and it’s definitely not possible without the help of a strong community. We’d like to invite all of you to lend us a helping hand to make ArangoDB 3.2 the best release ever. Please push this beta to its limits: test it for your use cases and compare the performance of the new features like RocksDB. Let us know on Github any bug that you find. Don’t worry about hurting our feelings: we want to fix any problems.

Join the Beta Bug Hunt Challenge and win a $200 Amazon Gift Card as first prize. You can find more details about this reward program at the end of this post. Read more

ArangoDB 3.1 Enterprise Edition – A Solid Ground to Scale with Graphs

00General, ReleasesTags: , ,

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

Read more

Release Candidate 2 of ArangoDB 3.1

00ReleasesTags: ,

We are glad to announce that the second release candidate (RC2) of ArangoDB 3.1 is publicly available. What makes this release particularly special to us is that it also includes an official release candidate of our new Enterprise Edition with a few extra add-ons up its sleeve. The upcoming ArangoDB 3.1 will be a significant release taking effort from the solid base built with ArangoDB 3.0 which introduced our binary storage format VelocyPack, the ArangoDB Agency for a self-managing cluster architecture and the first persistent index based on Facebook’s RocksDB.

RC2 of ArangoDB 3.1 is available for download and evaluation: Community Edition & Enterprise Edition. The documentation for the ArangoDB 3.1 RC 2 can be found here.
Read more

Do you like ArangoDB?
icon-githubStar this project on GitHub.
Star ArangoDB on GitHub