DBaaS: What and When should I use MongoDB Atlas?

MongoDB’s document model allows virtually any kind of data structure to be modelled and manipulated easily and with Atlas, you get the benefit of replication and high availability of your data available across the could network.

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We have all faced challenges in choosing and developing our product/application on the right database, which is one of the important steps of the software development lifecycle (SDLC).

Earlier data was stored either in Files or Relational Databases for every application, which was primarily because we were thought by our colleges or used in our companies.

Things are different now we can now choose from different SQL & NoSQL database systems that benefit our application.

One of them is MongoDB, which has become a popular choice for a highly scalable database system (collection of JSON documents) and it is currently being used as the backend data store for many Small/Mid/Large Organizations either self-hosted or on the cloud.

The evolution of databases also brings in operational & system engineering for high availability and low latency. 

To overcome this Cloud Engineers and DevOps continuously learn & evaluate new ways to automate and scale MongoDB across their application & services. This is where MongoDB Atlas comes into the picture.

MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB. That means that Atlas takes the responsibility of hosting, patching, managing and securing your MongoDB cluster, and leaves you free for putting it to good use.

“MongoDB Atlas” is a great example of a NoSQL Cloud DBaaS service that is easily scalable.

Why MongoDB Atlas?

  • The DBaaS subscription includes everything required to operate a database in the cloud – including database provisioning, licenses, support, and maintenance.
  • Atlas handles growing/shrinking your cluster when the need arises, and patching/upgrading your MongoDB cluster when a new version is released.
  • Shared or Dedicated Clusters with different pricing options.
  • Developers/Technical Team can focus on the Ideation/Creative Process and Delegate the Operations tasks to Atlas.
  • Granular role-based access controls and better security.
  • GUI Tool to manage all DB.
  • Backups and Point-In-Time Recovery.

When should I use MongoDB Atlas?

  • Want to take full power and benefit from the cloud infrastructure.
  • Operational costs of the on-cloud database as a service (DBaaS).
  • Strong authentication and encryption features that make sure that developers don’t get lazy and leave out data in the open by leaving their servers unguarded.
  • High volume of data is required some heavy lifting for most machine learning activities like “sentiment analytics” against social media tweets and posts, this is where Atlas brings its qualitative program models to diversify the documents & scale them in/out easily.

MongoDB Atlas Integrations? 

Following are some popular tools that integrate with MongoDB Atlas that provide high availability, improved monitoring and eas

Conclusion

As I am continuously involved in the architecture design process and building web applications, I keep analyzing different tools & services that benefit my application, mostly based on the application requirements, network traffic and data storage needs.

So, I am not advocating that MongoDB Atlas will be 100% successful for all applications in the market, but it’s the one that helps in scaling & growing my application.

I would suggest when you’re picking a database, the most important thing to understand is wherein your data and wherein its connections, the business value lies. Just because everyone is using it in the industry, doesn’t mean you need to use it too.

So please evaluate your data and how it needs to be STORED & ACCESSED.

Thank you for reading!

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