Building Multi-Model Database on Kubernetes

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.