xenonstack multi-model database management system

Overview of Multi-Model Database System

A Multi-Model Database System is a data processing program that helps multiple data models, which specify the parameters for how the data in a database is composed and organized. Being able to incorporate multiple models into a single database lets information technology (IT) teams and other users face various application terms without wanting to deploy different database systems. Let us discuss some benefits of multi-model databases:

  • It provides ACID capabilities and security
  • It reduces Operational Efficiency
  • It simplifies performance scaling
  • Strong Data Consistency

In this use case, we will guide you through how enterprises use multi-model databases to overcome complexity, save money, lessen the risk, and shorten time to value and how we build and deploy multi-model database management platform on kubernetes.

Introduction to ArangoDB

  • ArangoDB is a multi-model database supporting key-value pair, graph models, and document store.
  • Leverage functionality of ArangoDB on the top of Kubernetes to scale ArangoDB according to requirement.
  • Graph Database mainly focuses on representing many to many relationships between the documents which are inside the edge collection for the different document base collections.

Challenge for Setting Up a Multi-Model Databases on Kubernetes

  • Build a multi-dimensional database to scale and containerize according to requirement.
  • Set up a multi-model database system with a document, key value, and graph on Kubernetes.
  • Container environment is not persistent by default, databases in Kubernetes need Persistent Storage to store data.
  • Use Kubernetes to scale up ArangoDB.

Solution Offered for Building Multi-Model Databases

To overcome the challenges mentioned above –

  • Set up three nodes Kubernetes cluster on AWS where one acts as a master and the other two, minions.
  • For deploying databases on Kubernetes, have Persistent Storage as Containers can die and start at any time, but the data should remain persistent.
  • Select GlusterFS as a storage solution to support multi-mount as data remains on all nodes of GlusterFS.
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