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Microsoft Azure SQL Database vs MongoDB Atlas comparison

Microsoft and MongoDB are both solutions in the Database as a Service (DBaaS) category. Microsoft is ranked #1 with an average rating of 8.7, while MongoDB is ranked #3 with an average rating of 8.5. Microsoft holds a 15.9% mindshare in DS, compared to MongoDB’s 14.8% mindshare. Additionally, 96% of Microsoft users are willing to recommend the solution, compared to 98% of MongoDB users who would recommend it.
Microsoft Azure SQL Database
Read 116 Microsoft Azure SQL Database reviews
  • 7,329 Views
  • 3,068 Comparison Views
96% willing to recommend
MongoDB Atlas
Read 47 MongoDB Atlas reviews
  • 4,194 Views
  • 2,515 Comparison Views
98% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Aug 12, 2024

Microsoft Azure SQL Database and MongoDB Atlas compete in the database management systems category. Based on data comparisons, MongoDB Atlas has the upper hand in flexibility and scalability, while Microsoft Azure SQL Database excels in support and integration.

Features: Microsoft Azure SQL Database offers integration with the Microsoft ecosystem, advanced analytics, and seamless data migration. MongoDB Atlas provides flexibility in handling unstructured data, advanced querying capabilities, and high scalability.

Room for Improvement: Microsoft Azure SQL Database could improve its pricing model, enhance multi-cloud compatibility, and simplify multi-cloud scenarios. MongoDB Atlas users need better support options, more detailed documentation, and improved customer service.

Ease of Deployment and Customer Service: Microsoft Azure SQL Database offers comprehensive deployment models and extensive customer service, suited for enterprise projects. MongoDB Atlas provides a user-friendly deployment process, though users report mixed experiences with customer service.

Pricing and ROI: Microsoft Azure SQL Database has high setup costs but offers strong ROI through integration capabilities. MongoDB Atlas pricing is competitive, but some users question its value compared to costs.

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To learn more, read our detailed Microsoft Azure SQL Database vs. MongoDB Atlas Report (Updated: March 2025).
Buyer's Guide
Microsoft Azure SQL Database vs. MongoDB Atlas
March 2025
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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
7.4
Organizations save costs and boost ROI with Azure SQL by reducing data center size, capital expenses, and infrastructure expenditure.
Sentiment score
7.9
Organizations benefit from MongoDB Atlas with cost savings, efficiency, scalable features, but should manage data to avoid extra costs.
It is ensuring we receive what we pay for through the blend of price, performance, and features.
If you're managing your own data center, you always have to overprovision your systems and pay for storage space you're not using.
We've reduced costs by about 20 percent after two or three years.
For more quotes and insights, download the Microsoft Azure SQL Database report
No quotes available
For more quotes and insights, download the MongoDB Atlas report
Michael Hamlett - PeerSpot reviewerMaanda Ambani - PeerSpot reviewerreviewer2595777 - PeerSpot reviewer
 

Customer Service

Sentiment score
6.9
Microsoft Azure SQL Database's customer service is praised for its resources and support, but satisfaction varies by subscription plans.
Sentiment score
7.0
MongoDB Atlas customer service is generally appreciated, but experiences with technical support vary based on plan and response time.
Microsoft played a significant role, even from a training perspective, and provided resources that directed us toward the right deployment path.
Once I reach the right people, the support is incredibly knowledgeable and thorough.
Microsoft provides excellent service and is always available to support us.
For more quotes and insights, download the Microsoft Azure SQL Database report
I have used them sometimes, even recently, and found the feedback to be spot on our needs.
For more quotes and insights, download the MongoDB Atlas report
Maanda Ambani - PeerSpot reviewer
TG
reviewer2595303 - PeerSpot reviewerLuca Botti - PeerSpot reviewer
 

Scalability Issues

Sentiment score
7.2
Microsoft Azure SQL Database offers efficient scalability with both manual and automated options, supporting various team sizes effectively.
Sentiment score
7.7
MongoDB Atlas is highly scalable and adaptable, efficiently managing data despite sharding costs and configuration challenges.
Scaling the solution is incredibly simple and involves just clicking a button or dragging a slider.
Azure's scalability features like Elasticity are essential.
Microsoft Azure SQL Database is cloud-based, so it's great for scaling workloads.
For more quotes and insights, download the Microsoft Azure SQL Database report
No quotes available
For more quotes and insights, download the MongoDB Atlas report
Michael Hamlett - PeerSpot reviewer
KC
reviewer2595312 - PeerSpot reviewer
 

Stability Issues

Sentiment score
7.3
Microsoft Azure SQL Database offers high stability, reliability, and performance, consistently receiving top ratings for minimal issues and strong technology.
Sentiment score
8.0
MongoDB Atlas is highly reliable and stable, with strong performance and customer satisfaction, despite minor UI issues.
We can't tell the difference between running on-prem or Azure because we no longer have those latency issues.
SQL never crashes or suddenly becomes unavailable.
Therefore, it is preferable to provision an instance local to the connection point to optimize performance and minimize latency.
For more quotes and insights, download the Microsoft Azure SQL Database report
No quotes available
For more quotes and insights, download the MongoDB Atlas report
Maanda Ambani - PeerSpot reviewer
FW
Jason McCullagh - PeerSpot reviewer
 

Room For Improvement

Users desire better security, scalability, cost-efficiency, documentation, integration, pricing, support, automation, monitoring, and search functionalities for Azure SQL Database.
MongoDB Atlas requires a more user-friendly dashboard, better integration, enhanced security, and improved support for efficient scalability.
It would be helpful if CPU performance were not pinned to the amount of storage you're using, and we could scale different properties of the Azure SQL database independently.
I could not get an accurate quote on what my monthly costs would be based on my needs.
To overcome this, we collaborated with the network team to develop alternative solutions.
For more quotes and insights, download the Microsoft Azure SQL Database report
No quotes available
For more quotes and insights, download the MongoDB Atlas report
reviewer2595777 - PeerSpot reviewerMichael Hamlett - PeerSpot reviewerreviewer2595303 - PeerSpot reviewer
 

Setup Cost

Microsoft Azure SQL Database provides flexible pricing options, although cost complexity can challenge budget management for larger deployments.
MongoDB Atlas offers flexible, cost-effective cloud pricing with scalable options, though support costs can be high without discounts.
Azure Hybrid Benefit reduced costs by facilitating an easy transition of on-premises databases to the cloud.
Microsoft Azure SQL Database is not cheap.
It greatly reduces the total cost of ownership through efficient licensing depending on the client, the cost savings, and hybrid benefits.
For more quotes and insights, download the Microsoft Azure SQL Database report
For our service, it was around 300 to 600 euros per month, which was acceptable for our customers.
For more quotes and insights, download the MongoDB Atlas report
Charley Hanania - PeerSpot reviewerFabricio Noriega - PeerSpot reviewer
FW
Luca Botti - PeerSpot reviewer
 

Valuable Features

Microsoft Azure SQL Database enhances efficiency with scalability, integration, cost savings, global access, security, and AI-powered data processing.
MongoDB Atlas provides high scalability, flexibility, and ease of use with excellent security and seamless integrations for diverse data needs.
The simplicity in usability, along with improved organizational productivity where we no longer need to maintain on-premises SQL servers, is invaluable.
Some of the best features of Microsoft Azure SQL Database are its scalability, pricing, and ease of setup.
Azure SQL helps in reducing the company's total cost of ownership because we don't have to manage on-premises infrastructure.
For more quotes and insights, download the Microsoft Azure SQL Database report
I find MongoDB Atlas highly scalable and easy to use, with very good support.
For more quotes and insights, download the MongoDB Atlas report
reviewer2596431 - PeerSpot reviewerMichael Hamlett - PeerSpot reviewerreviewer2595303 - PeerSpot reviewerLuca Botti - PeerSpot reviewer
 

Categories and Ranking

Microsoft Azure SQL Database
Ranking in Database as a Service (DBaaS)
1st
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
116
Ranking in other categories
No ranking in other categories
MongoDB Atlas
Ranking in Database as a Service (DBaaS)
3rd
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
47
Ranking in other categories
Managed NoSQL Databases (5th)
 

Mindshare comparison

As of March 2025, in the Database as a Service (DBaaS) category, the mindshare of Microsoft Azure SQL Database is 15.9%, down from 18.6% compared to the previous year. The mindshare of MongoDB Atlas is 14.8%, up from 14.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service (DBaaS)
 

Featured Reviews

Charley Hanania - PeerSpot reviewer
It is very easy to implement, manage, and offers great insights into what is happening inside the engine
Microsoft Azure SQL Database is integrated into other Azure capabilities and has a great foundation being on SQL Server with a long history of security, performance, and usability from a DBA perspective. Once you've set up a server, adding databases is easy. There's a minor challenge with having data in separate databases that you want to connect like we do on premises. I'm looking forward to using some of these new AI-driven functions that have come out around vectorization. Having the data closer to my transactional databases or data makes it easy to augment and enhance the Database and applications I currently use. It's great that Azure SQL now seamlessly integrates with Microsoft Fabric. It's a first-tier service in the cloud that connects to web applications and other databases. The data transformation orchestration capabilities within Database Factory and similar capabilities make it effortless to move that stuff forward.
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Luca Botti - PeerSpot reviewer
Supportive features enable effective data management and growth
I find MongoDB Atlas highly scalable and easy to use, with very good support. The pricing is quite scalable and applies to various scenarios, both for smaller and bigger companies. MongoDB Atlas has supported our data growth well, and my overall impression is very positive. It is easy to work with and has a reliable support structure. For structured data storage and performance, it provides a comprehensive solution, and the feedback was generally positive.
Read full review
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Top Industries

By visitors reading reviews
Educational Organization
73%
Computer Software Company
4%
Financial Services Firm
4%
Healthcare Company
2%
Computer Software Company
19%
Financial Services Firm
15%
Comms Service Provider
6%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about SQL Azure?
The automated scalability feature of SQL Azure has proven to be highly beneficial, particularly when deployed in the cloud.
See all answers
What is your experience regarding pricing and costs for SQL Azure?
The price for running the server increased more than expected in recent months, and better alignment of pricing expectations is needed. Notably, costs related to IT staff coming into the office on ...
See all answers
What needs improvement with SQL Azure?
We're trying to manage our costs better. We've noticed an unexpected increase in the cost of running the server over the past few months. Addressing pricing clarity and alignment would help us. Als...
See all answers
What do you like most about MongoDB Atlas?
There are many valuable features, but scalability stands out. It can scale across zones. You can define multiple nodes. They have also partnered with AWS, offering great service with multiple featu...
See all answers
What is your experience regarding pricing and costs for MongoDB Atlas?
The pricing is quite acceptable and scalable. For our service, it was around 300 to 600 euros per month, which was acceptable for our customers. We could scale up for better performance and scale d...
See all answers
What needs improvement with MongoDB Atlas?
I am not an expert on what improvements could be made to MongoDB. The service is continually evolving with new features while maintaining reasonable pricing, making it attractive for developers.
See all answers
 

Comparisons

Google Cloud SQL vs Microsoft Azure SQL Database Logo
Google Cloud SQL vs Microsoft Azure SQL Database
Compared 45% of the time
Amazon RDS vs Microsoft Azure SQL Database Logo
Amazon RDS vs Microsoft Azure SQL Database
Compared 27% of the time
Oracle Database as a Service vs Microsoft Azure SQL Database Logo
Oracle Database as a Service vs Microsoft Azure SQL Database
Compared 7% of the time
IBM Db2 on Cloud vs Microsoft Azure SQL Database Logo
IBM Db2 on Cloud vs Microsoft Azure SQL Database
Compared 2% of the time
vCloud Air vs Microsoft Azure SQL Database Logo
vCloud Air vs Microsoft Azure SQL Database
Compared 2% of the time
More Microsoft Azure SQL Database Competitors
Amazon RDS vs MongoDB Atlas Logo
Amazon RDS vs MongoDB Atlas
Compared 48% of the time
Google Cloud SQL vs MongoDB Atlas Logo
Google Cloud SQL vs MongoDB Atlas
Compared 14% of the time
MongoDB vs MongoDB Atlas Logo
MongoDB vs MongoDB Atlas
Compared 6% of the time
Upstash vs MongoDB Atlas Logo
Upstash vs MongoDB Atlas
Compared 5% of the time
Google Cloud Spanner vs MongoDB Atlas Logo
Google Cloud Spanner vs MongoDB Atlas
Compared 4% of the time
More MongoDB Atlas Competitors
 

Product Reports

Buyer's Guide
Microsoft Azure SQL Database
February 2025
Microsoft Azure SQL Database reportDownload Microsoft Azure SQL Database product report
Buyer's Guide
MongoDB Atlas
February 2025
MongoDB Atlas reportDownload MongoDB Atlas product report
 

Also Known As

No data available
Atlas
 

Overview

Microsoft Azure SQL Database is a relational database-as-a-service that delivers predictable performance, scalability, business continuity, data protection, and near-zero administration to cloud developers and solution architects. This is the deep technical library for Azure SQL Database.

Microsoft

MongoDB Atlas offers a cloud-based database service known for speed, scalability, ease of use, and flexibility. Its robust features and advanced security measures support various business needs, making it ideal for unstructured data management.

MongoDB Atlas maximizes data handling capabilities by providing a seamless integration and high availability environment. The platform's schemaless architecture and rich query support make it suitable for complex data processing. With cloud-based infrastructure, deployment and maintenance are simplified, serving sectors such as healthcare, finance, and more. Organizations benefit from autoscaling, clustering, and APIs for effective project management. Continuous improvements in user experience, cost-effectiveness, query performance, and security are expected to meet evolving expectations.

What are the most important features?
  • Speed: Optimized for fast data handling and processing.
  • Scalability: Adapts to growing data needs without hassle.
  • Ease of Use: User-friendly interface for efficient navigation.
  • Flexibility: Supports unstructured data with ease.
  • Integration: Seamlessly connects with cloud environments.
  • High Availability: Ensures uninterrupted data access and operations.
  • Advanced Security: Protects data with robust security measures.
  • Schemaless Architecture: Enables dynamic data structure management.
  • Rich Query Support: Facilitates complex queries and analytics.
What benefits and ROI should be considered?
  • Easy Deployment: Streamlines the setup process in cloud environments.
  • Efficient Project Management: APIs and tools enhance workflow.
  • Cost-Effectiveness: Potential for more flexible pricing models.
  • Data Management: Automates backups and supports clustering.
  • Advanced Tools: Enables comprehensive data processing capabilities.

MongoDB Atlas is widely implemented in industries such as healthcare, finance, and technology. It serves applications requiring high availability and scalability, handling tasks from patient data management to real-time analytics. With its adaptable infrastructure, Atlas supports diverse use cases from IoT integration to transactional processing in cloud environments.

MongoDB
 

Sample Customers

adnymics GmbH, LG CNS, Centrebet, netfabb GmbH, MedPlast, Accelera Solutions, Sochi Organizing Committee, realzeit GmbH
Wells Fargo, Forbes, Ulta Beauty, Bosch, Sanoma, Current (a Digital Bank), ASAP Log, SBB, Zebra Technologies, Radial, Kovai, Eni, Accuhit, Cognigy, and Payload.
Buyer's Guide
Microsoft Azure SQL Database vs. MongoDB Atlas
March 2025
Free Report: Microsoft Azure SQL Database vs. MongoDB Atlas
Find out what your peers are saying about Microsoft Azure SQL Database vs. MongoDB Atlas and other solutions. Updated: March 2025.
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