Software Alternatives, Accelerators & Startups

SQL Azure VS MongoDB Atlas

Compare SQL Azure VS MongoDB Atlas and see what are their differences

SQL Azure logo SQL Azure

Microsoft Azure Cloud SQL Database is the developerโ€™s cloud database service. The Azure database as a service is your solution to building and monitoring applications quickly and efficiently.

MongoDB Atlas logo MongoDB Atlas

The best way to host MongoDB in the cloud. Deploy on AWS, Azure, or Google Cloud Platform. Try it free!
  • SQL Azure Landing page
    Landing page //
    2023-02-06
  • MongoDB Atlas Landing page
    Landing page //
    2023-09-28

SQL Azure features and specs

  • Scalability
    SQL Azure provides scalable performance that can be adjusted based on demand without downtime, allowing businesses to handle varying workloads efficiently.
  • Managed Service
    As a fully managed service, SQL Azure reduces administrative overhead by handling updates, backups, and maintenance automatically, freeing up IT resources for other tasks.
  • High Availability
    Built-in high availability and disaster recovery features ensure continuous data access and reliability, minimizing downtime and protecting data integrity.
  • Security
    SQL Azure offers advanced security features, including network isolation, encryption, and threat detection, enhancing data protection and compliance with security standards.
  • Integration with Microsoft Ecosystem
    Seamless integration with other Microsoft services and tools such as Power BI, Azure Data Factory, and Azure Synapse enhances capabilities for data analysis and management.

Possible disadvantages of SQL Azure

  • Cost
    The pay-as-you-go pricing model can become expensive for businesses with large-scale demands or unpredictable usage patterns, potentially increasing operational costs.
  • Limited Control
    Because it is a managed service, users have less control over server configurations and customizations, which can be a limitation for certain specialized requirements.
  • Dependency on Internet Connectivity
    As a cloud-based service, consistent internet connectivity is required to access SQL Azure, which can be a disadvantage for locations with unreliable internet service.
  • Learning Curve
    Organizations may need to invest time and resources into training staff to understand and optimize Azure SQL features, which can delay implementation.
  • Data Transfer Costs
    There may be additional costs associated with transferring data in and out of SQL Azure, particularly for businesses that frequently move large volumes of data.

MongoDB Atlas features and specs

  • Scalability
    MongoDB Atlas offers excellent scalability, allowing users to easily scale their databases vertically and horizontally to accommodate growing data needs and increasing traffic.
  • Fully Managed Service
    MongoDB Atlas is a fully managed service, meaning that tasks such as database patching, hardware provisioning, and backups are handled automatically, reducing the administrative burden on users.
  • Global Distribution
    MongoDB Atlas provides global data distribution, enabling users to deploy their databases across multiple regions and ensure low-latency access to data for end-users.
  • Security Features
    With MongoDB Atlas, robust security features such as encryption at rest and in transit, robust authentication, and fine-grained access control are available to protect your data.
  • Integration and Ecosystem
    MongoDB Atlas integrates well with other AWS, Azure, and Google Cloud services, as well as a wide variety of development tools and third-party services.
  • Auto-scaling
    Atlas provides auto-scaling capabilities that automatically adjusts the database resources according to workload demands, optimizing performance and cost efficiency.

Possible disadvantages of MongoDB Atlas

  • Cost
    MongoDB Atlas can become expensive as data and workloads grow, especially when additional features such as backups, sharding, and global deployments are utilized.
  • Dependency on Internet Access
    Since MongoDB Atlas is a cloud-based service, a reliable internet connection is necessary for consistent database access, which could be a drawback in environments with poor connectivity.
  • Complexity of Advanced Features
    While MongoDB Atlas provides many advanced features, effectively utilizing them may require a learning curve, potentially complicating deployment and management for less experienced users.
  • Vendor Lock-in
    Utilizing MongoDB Atlas can lead to vendor lock-in, making it difficult to switch to other database solutions without significant effort and cost.
  • Limited Control
    Being a managed service, users may have limited control over underlying infrastructure and certain configurations, which might be an issue for those who need specific custom setups.

SQL Azure videos

No SQL Azure videos yet. You could help us improve this page by suggesting one.

Add video

MongoDB Atlas videos

An explanation of MongoDB Atlas' features and functionalities

More videos:

  • Review - MongoDB Atlas on Google Cloud
  • Review - Ep. 6 Five Ways to Reduce Costs with MongoDB Atlas

Category Popularity

0-100% (relative to SQL Azure and MongoDB Atlas)
Databases
52 52%
48% 48
Relational Databases
63 63%
37% 37
NoSQL Databases
34 34%
66% 66
Tool
100 100%
0% 0

User comments

Share your experience with using SQL Azure and MongoDB Atlas. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare SQL Azure and MongoDB Atlas

SQL Azure Reviews

We have no reviews of SQL Azure yet.
Be the first one to post

MongoDB Atlas Reviews

  1. Richard Sandown
    ยท CEO at Camprs ยท
    Straight forward hosting and management of MongoDB

    We leverage MongoDB in a large number of client projects and always recommend MongoDB atlas for hosting. While you can roll your own and manage all of the infrastructure required to host a MongoDB database, for the time/cost it's just not worth it. Atlas is well priced for what it offers and it is easy to get a database up and running in just a few minutes. That plus all of the security and backup features make it an easy choice for us.

    ๐Ÿ‘ Pros:    Easy to setup|Affordable pricing|Free tier available
    ๐Ÿ‘Ž Cons:    No automated migration from self hosted

Social recommendations and mentions

Based on our record, SQL Azure seems to be more popular. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

SQL Azure mentions (10)

  • Database Sharding vs Partitioning: Whatโ€™s the Difference?
    Azure SQL Database for partitioning and sharding through Elastic Database tools. These tools and services simplify the task of managing distributed data. These cloud-based solutions are particularly useful for teams that do not have DevOps expertise. - Source: dev.to / 4 months ago
  • Microsoft Announces the Preview of Serverless for Hyperscale in Azure SQL Database
    Recently, Microsoft announced the preview of serverless for Hyperscale in the Azure SQL Database, which brings together the benefits of serverless and Hyperscale into a single database solution. For full news coverage see InfoQ news item: https://www.infoq.com/news/2023/02/azure-sql-hyperscale-serverless/. Source: over 2 years ago
  • Azure SQL Database External REST Endpoints Integration Now in Public Preview
    Microsoft recently announced the public preview of Azure SQL Database External REST Endpoint Integration โ€“ an ability to call a REST endpoint natively from Azure SQL Database. For more details see: https://www.infoq.com/news/2022/11/azure-sql-rest-endpoint/. Source: almost 3 years ago
  • How I Build and Deliver B2B SaaS Software as a 1.5* Person Indie Developer
    Www Services for hosting the marketing site. This includes a Key Vault, Storage Account, Service Bus Namespace, Azure SQL database and an App Service. - Source: dev.to / over 3 years ago
  • The Difference Between Data Warehouses, Data Lakes, and Data Lakehouses.
    Popular managed cloud data warehouse solutions include Azure Synapse Analytics, Azure SQL Database, and Amazon Redshift. - Source: dev.to / over 3 years ago
View more

MongoDB Atlas mentions (0)

We have not tracked any mentions of MongoDB Atlas yet. Tracking of MongoDB Atlas recommendations started around Mar 2021.

What are some alternatives?

When comparing SQL Azure and MongoDB Atlas, you can also consider the following products

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

SAP HANA - SAP HANA is an in-memory, column-oriented, relational database management system.

Ninox - Ninox is a human-friendly database. Create your own Business Application with Ninox that matches your workflow. Ninox lets you integrate CRM, ERP, HR and many more...

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Amazon Aurora - MySQL and PostgreSQL-compatible relational database built for the cloud. Performance and availability of commercial-grade databases at 1/10th the cost.

MySQL - The world's most popular open source database