Cluster Archives - ArangoDB

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

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Estimated reading time: 10 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?”. Read more

ArangoDB Hot Backup – Creating consistent cluster-wide snapshots

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Introduction

“Better to have, and not need, than to need, and not have.”
Franz Kafka

Franz Kafka’s talents wouldn’t have been wasted as DBA. Well, reasonable people might disagree.

With this article, we are shouting out a new enterprise feature for ArangoDB: consistent online single server or cluster-wide “hot backups.”

Read more

Building a Mini Database Cluster for Fun – LEGO Edition

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Mini PC Database Cluster for Fun Lego

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 Oasis: the Cloud Service for ArangoDB. Start your free 14-day trial here Read more

Sharding: freedom, when you need it least?

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“I must have a prodigious amount of mind;
it takes me as much as a week, sometimes, to make it up!”
― Mark Twain

How many shards should one choose, when creating collections in ArangoDB clusters?

TLDR: Don’t be too shy with sharding your data in many shards across your cluster. Be mindful however that AQL-heavy applications might not profit as much from heavy distribution. Read more

Run multiple versions of ArangoDB in parallel using the .tar.gz distribution

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This post uses the new .tar.gz binary distribution of ArangoDB to run multiple versions of ArangoDB alongside each other on the same machines. We will do a production-ready deployment on 3 cloud instances with authentication, TLS encryption, (self-signed) certificates and systemd service. In the end, we show how to perform a rolling upgrade for one of the clusters to a new version.

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

Deploying ArangoDB 3.4 on Kubernetes

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It has been a few months since we first released the Kubernetes operator for ArangoDB and started to brag about it. Since then, quite a few things have happened.

For example, we have done a lot of testing, fixed bugs, and by now the operator is declared to be production ready for three popular public Kubernetes offerings, namely Google Kubernetes Engine (GKE), Amazon Elastic Kubernetes Service (EKS) and Pivotal Kubernetes Service (PKS) (see here for the current state of affairs). Read more

ArangoDB 3.4 GA
Full-text Search, GeoJSON, Streaming & More

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The ability to see your data from various perspectives is the idea of a multi-model database. Having the freedom to combine these perspectives into a single query is the idea behind native multi-model in ArangoDB. Extending this freedom is the main thought behind the release of ArangoDB 3.4.

We’re always excited to put a new version of ArangoDB out there, but this time it’s something special. This new release includes two huge features: a C++ based full-text search and ranking engine called ArangoSearch; and largely extended capabilities for geospatial queries by integrating Google™ S2 Geometry Library and GeoJSON.  Read more

RC1 ArangoDB 3.4 – What’s new?

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For ArangoDB 3.4 we already added 100,000 lines of code, happily deleted 50,000 lines and changed over 13,000 files until today. We merged countless PRs, invested months of problem solving, hacking, testing, hacking and testing again and are super excited to share the feature complete RC1 of ArangoDB 3.4 with you today. Read more