MongoDB is a serverless, distributed database orientated towards documents, in other words, saving data in BSON documents instead of registries, making it much more expressive and powerful. It's got all the advantages and usages of a relational database, but being more flexible and dynamic.

The MondoDB Atlas is a database on a global cloud created with modern applications in mind, and it's distributed and safe by default, alongside being managed in AWS, Google Cloud and Azure.

Azure SQL Database is a fully managed platform as a service (PaaS) database engine that handles most of the database management functions such as upgrading, patching, backups, and monitoring without user involvement.Azure SQL Database is always running on the latest stable version of the SQL Server database engine and patched OS with 99.99% availability. PaaS capabilities that are built into Azure SQL Database enable you to focus on the domain-specific database administration and optimization activities that are critical for your business.

Plans

• Shared: Free forever with a M0 cluster, with a 512MB storage capacity, and shared RAM. Also has M2 and M5 versions available with a monthly fee of $9 and $25 respectively. Great for learning and exploring about MongoDB.
  
• Serverless: For serverless applications with a variable traffic that's generally on the lower values. It requires a minimal amount of configuration. Has a free of $0.30 per read, and has extra frees according to the operations you do.
• Dedicated: For production applications that have a sophisticated workload requirement, has advanced configuration controls, with cluster prices ranging from $0.08 to to $33.26/hr.

Example Pricing

Applications with 10M reads ($2.75), 1M writes ($1.25), 1GB storage ($0.25) and 1GB data transfer ($0.015-0.10 according to traffic): $4.3 USD tops.

Has a vCore-based purchase model, for those who look for flexibility, control and transparency of individual resource consumption.

$0.5218 vCore-hour rate.

$0.12 per GB-monthly in Locally Redundant Storage.

Backup storage and long term retention have varying prices.

Example Price

10 vCores ($5,218) with 10GB of storage ($1,2) alongside 10GB of LRS storage and retention ($1+$0,25) $7,668 USD

Onboarding

Great documentation to start off quickly, with a free plan that's very quick to access. Has a wide amount of resources and guides to learn about it.

Scalability

Automatic, and scalable both horizontally (sharding) and vertically.

Regions​

MongoDB Atlas supports  the following regions: Americas, Asia Pacific, Europe, Middle East and Africa. The choice of cloud provider and region affects network latency for clients accessing your database deployment and the cost of running the database deployment. For clusters, this choice also affects the configuration options for the available cluster tiers. The region refers to the physical location of your MongoDB database deployment.

Backup

​MongoDB Atlas, the official MongoDB cloud service, provides 2 fully-managed methods for backups:

• ​Continuous Backups, which take incremental backups of data in your cluster, ensuring your backups are typically just a few seconds behind the operational system. Atlas continuous backups allow you to restore from stored snapshots or from a selected point in time within the last 24 hours. You can also query a continuous backup snapshot.
• Cloud Provider Snapshots, which provide localized backup storage using the native snapshot functionality of the cluster's cloud service provider.

Security

​MongoDB provides various features, such as authentication, access control, encryption, to secure your MongoDB deployments. Some key security features include: Authentication, SCRAM, Role-Based Access Control, Transport Encryption, among others.

Onboarding
Massive documentation, free to start. Might be a bit overwhelming at first.

​Scalability
Configurable autoscaling.

Regions

Azure SQL Database is available on all the platforms that have Azure available, such as the United States, Europe, Asia Pacific, and more to come.

​Backups 
With Azure SQL Database, you can set a long-term backup retention policy (LTR) to automatically retain backups in separate Azure Blob storage containers for up to 10 years. You can then recover a database using these backups using the Azure portal or PowerShell.

​Security
​Supports JWT, ABAC-based role, and permissions. Identity and anonymous-base

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MongoDB is a document database with the scalability and flexibility that you want with the querying and indexing that you need. MongoDB’s document model is simple for developers to learn and use, while still providing all the capabilities needed to meet the most complex requirements at any scale. 

• Rich on JSON Documents
• Allows arrays and nested items as values
• Rich and expressive consulting language
• Filter and order on any field, regardless of the way it's inserted in the document
• Full ACID transactions
• Allows for combinations on inquiries
• Completely automatized
• Security Copy
• Global Clusters

With Azure SQL Database, you can create a highly available and high-performance data storage layer for the applications and solutions in Azure. SQL Database can be the right choice for a variety of modern cloud applications because it enables you to process both relational data and non-relational structures, such as graphs, JSON, spatial, and XML.

• ​Fully managed SQL database automates updates, provisioning, and backups so you can focus on application development
  
• Flexible and responsive serverless compute and Hyperscale storage rapidly adapt to your changing requirements
  
• Layers of protection, built-in controls, and intelligent threat detection keep your data secure
  
• Built-in AI and built-in high availability maintain peak performance and durability with an SLA of up to 99.995 percent