Edgar Lanting, Author at ArangoDB

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arangosync

ArangoSync: A Recipe for Reliability

00ArangoML, General, Graphs, how to, Machine LearningTags:

Estimated reading time: 18 minutes

A detailed journey into deploying a DC2DC replicated environment

When we thought about all the things we wanted to share with our users there were obviously a lot of topics to choose from. Our Enterprise feature; ArangoSync was one of the topics that we have talked about frequently and we have also seen that our customers are keen to implement this in their environments. Mostly because of the secure requirements of having an ArangoDB cluster and all of its data located in multiple locations in case of a severe outage. 

This blog post will help you set up and run an ArangoDB DC2DC environment and will guide you through all the necessary steps. By following the steps described you’ll be sure to end up with a production grade deployment of two ArangoDB clusters communicating with each other with datacenter to datacenter replication.

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Massive Inserts into ArangoDB With NodeJS

03GeneralTags: , ,

Estimated reading time: 6 minutes

Nothing performs faster than arangoimport and arangorestore for bulk loading or massive inserts into ArangoDB. However, if you need to do additional processing on each row inserted, this blog will help with that type of functionality.

If the data source is a streaming solution (such as Kafka, Spark, Flink, etc), where there is a need to transform data before inserting into ArangoDB, this solution will provide insight into that scenario as well. Read more

Learn More About Graph Databases

Read our latest Graph and Beyond  white paper to gain insights into how ArangoDB graph databases can support many use cases.
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