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 8.5, while MongoDB is ranked #3 with an average rating of 8.0. Microsoft holds a 11.3% mindshare in DS, compared to MongoDB’s 12.7% mindshare. Additionally, 96% of Microsoft users are willing to recommend the solution, compared to 96% of MongoDB users who would recommend it.

Microsoft Azure SQL Database

Read 134 Microsoft Azure SQL Database reviews

3,559 Views
3,488 Comparison Views

96% willing to recommend

MongoDB Atlas

Read 50 MongoDB Atlas reviews

4,863 Views
3,501 Comparison Views

96% willing to recommend

Microsoft Azure SQL Database

MongoDB Atlas

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 11, 2026

Microsoft Azure SQL Database and MongoDB Atlas compete in the cloud database solutions category. Azure SQL Database has the upper hand due to its strong integration with Microsoft services and high transactional system compatibility.

Features: Microsoft Azure SQL Database offers robust integration with Microsoft services, making it highly stable and scalable. Its cloud-based nature eliminates infrastructure costs, and it is favored for transactional systems. MongoDB Atlas excels in flexibility and scalability with a user-friendly interface, schemaless architecture, and efficient object-based data storage.

Room for Improvement: Microsoft Azure SQL Database could improve with better scalability, more third-party integrations, and enhanced security features. MongoDB Atlas could see improvements in query performance, dashboard usability, and cost-effective pricing structures.

Ease of Deployment and Customer Service: Microsoft Azure SQL Database supports various cloud models and provides solid customer service, though response times could improve. MongoDB Atlas offers intuitive deployment across multiple environments, though support service pricing is a concern.

Pricing and ROI: Microsoft Azure SQL Database utilizes a pay-per-use model, providing cost advantages over on-premises setup despite regional cost disparities. MongoDB Atlas's pay-as-you-go strategy is praised for resource utilization efficiency but criticized for its support service costs. Both solutions are viewed as offering strong ROI through cloud efficiencies.

To learn more, read our detailed Microsoft Azure SQL Database vs. MongoDB Atlas Report (Updated: December 2025).

Buyer's Guide

Microsoft Azure SQL Database vs. MongoDB Atlas

December 2025

Download the complete report

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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

6.7

Organizations using Azure SQL Database report cost savings, enhanced efficiency, and reduced data center needs with pay-per-use models.

Sentiment score

8.0

MongoDB Atlas offers cost savings, reduced maintenance, and efficiency, though some find support expensive; ongoing enhancements ensure satisfactory returns.

It is ensuring we receive what we pay for through the blend of price, performance, and features.

Michael Hamlett

Senior Manager, Information Technology of Data Strategies at a hospitality company with 5,001-10,000 employees

If you're managing your own data center, you always have to overprovision your systems and pay for storage space you're not using.

Maanda Ambani

Senior AI Specialist at Nedbank

We've reduced costs by about 20 percent after two or three years.

reviewer2595777

Azure Cloud Engineer at a computer software company with 201-500 employees

For more quotes and insights, download the Microsoft Azure SQL Database report

I find it easy to use.

Lintz Veloso

IT Manager at a government with 11-50 employees

For more quotes and insights, download the MongoDB Atlas report

Customer Service

Sentiment score

6.4

Microsoft Azure SQL Database's customer service is effective but varies; larger accounts receive better support than smaller users.

Sentiment score

7.0

Customers find MongoDB Atlas support varies; premium support is praised, but cost and first-level delays are concerns.

Microsoft played a significant role, even from a training perspective, and provided resources that directed us toward the right deployment path.

Maanda Ambani

Senior AI Specialist at Nedbank

Once I reach the right people, the support is incredibly knowledgeable and thorough.

Tom Geairn

CTO at 2W Technologies, INC

Microsoft provides excellent service and is always available to support us.

reviewer2595303

Sr. Principal Database at a manufacturing company with 10,001+ employees

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.

Luca Botti

Partner at Red software systems

The features of MongoDB Atlas fall short, resulting in an average rating due to higher-expectation features still lacking in its offerings.

Laksiri Bala

DB Architect / Consultant at Virtusa Global

For premium support, I would rate the support of MongoDB Atlas a nine.

Dhiraj Verma

General Manager at Kaleyra

For more quotes and insights, download the MongoDB Atlas report

Scalability Issues

Sentiment score

6.2

Microsoft Azure SQL Database offers flexible scalability, easy workload management, seamless tier transitions, and supports user expansion with robust infrastructure.

Sentiment score

7.6

MongoDB Atlas is praised for efficient scalability, handling large data volumes easily, though configuration and cost present challenges.

Scaling the solution is incredibly simple and involves just clicking a button or dragging a slider.

Michael Hamlett

Senior Manager, Information Technology of Data Strategies at a hospitality company with 5,001-10,000 employees

Azure's scalability features like Elasticity are essential.

Kiran Chintala

Solutions Architect at ITCON SERVICES, LLC

Microsoft Azure SQL Database is cloud-based, so it's great for scaling workloads.

reviewer2595312

System Engineer at a tech services company with 11-50 employees

For more quotes and insights, download the Microsoft Azure SQL Database report

It's very much scalable, and I would rate scalability a nine.

Dhiraj Verma

General Manager at Kaleyra

MongoDB Atlas offers sharding as a scalability feature, although it does not perform as well as Oracle.

Laksiri Bala

DB Architect / Consultant at Virtusa Global

For more quotes and insights, download the MongoDB Atlas report

Stability Issues

Sentiment score

7.2

Microsoft Azure SQL Database is praised for reliability, excellent uptime, and improved performance, with minor latency issues reported.

Sentiment score

7.9

MongoDB Atlas is praised for stability, reliability, performance, and features, making it ideal for mission-critical environments.

We can't tell the difference between running on-prem or Azure because we no longer have those latency issues.

Maanda Ambani

Senior AI Specialist at Nedbank

SQL never crashes or suddenly becomes unavailable.

Fredrick Weinshenk

Cloud Engineer at Med Tech Solutions

I would assess the reliability of Microsoft Azure SQL Database in terms of maintaining uptime and availability as being excellent with zero complaints.

Matthew Parker

Ai Team Lead at Phoenix Software

For more quotes and insights, download the Microsoft Azure SQL Database report

When it comes to OLTP transactions, its performance declines.

Laksiri Bala

DB Architect / Consultant at Virtusa Global

The stability of the product is very high.

Dhiraj Verma

General Manager at Kaleyra

For more quotes and insights, download the MongoDB Atlas report

Room For Improvement

Azure SQL Database needs enhanced security, scalability, clear pricing, better documentation, broader compatibility, and improved user interface and automation.

MongoDB Atlas users seek improved UI, performance, integration, cost efficiency, and support while desiring better data management features.

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.

reviewer2595777

Azure Cloud Engineer at a computer software company with 201-500 employees

As a customer, I believe something which has been established, stable, and rugged for a very long time also needs cost optimization.

Varun Agrawal

Assistant Vice President at a tech services company with 1,001-5,000 employees

I could not get an accurate quote on what my monthly costs would be based on my needs.

Michael Hamlett

Senior Manager, Information Technology of Data Strategies at a hospitality company with 5,001-10,000 employees

For more quotes and insights, download the Microsoft Azure SQL Database report

Enhancing capabilities for data pipelines and visualization dashboards.

Laksiri Bala

DB Architect / Consultant at Virtusa Global

MongoDB Atlas should support containerization.

Dhiraj Verma

General Manager at Kaleyra

I would say pricing is an area where MongoDB Atlas could improve.

Lintz Veloso

IT Manager at a government with 11-50 employees

For more quotes and insights, download the MongoDB Atlas report

Setup Cost

Microsoft Azure SQL Database offers flexible pricing but is perceived as moderately expensive, requiring careful budget considerations.

Enterprise users find MongoDB Atlas cost-effective yet occasionally expensive, valuing scalability and payment flexibility despite potential additional fees.

Azure Hybrid Benefit reduced costs by facilitating an easy transition of on-premises databases to the cloud.

Charley Hanania

Data Platform Specialist at QS2 AG - Quality Software Solutions

Microsoft Azure SQL Database is not cheap.

Fabricio Noriega

Software Architect at Dynaxti

It greatly reduces the total cost of ownership through efficient licensing depending on the client, the cost savings, and hybrid benefits.

Fredrick Weinshenk

Cloud Engineer at Med Tech Solutions

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.

Luca Botti

Partner at Red software systems

The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it.

Laksiri Bala

DB Architect / Consultant at Virtusa Global

For more quotes and insights, download the MongoDB Atlas report

Valuable Features

Microsoft Azure SQL Database provides seamless scalability, dynamic resource management, high efficiency, and cost-effective integration with Microsoft applications.

MongoDB Atlas offers high speed, scalability, security, and cost-effectiveness, supporting diverse requirements with its user-friendly, cloud-based design.

The simplicity in usability, along with improved organizational productivity where we no longer need to maintain on-premises SQL servers, is invaluable.

reviewer2596431

Software Engineer at a financial services firm with 51-200 employees

The Software as a Service model is more effective and easier to access in terms of security, as Azure provides security at the security layer, reducing the risk of breach.

Fatai Akinwande

Specialist Datacenter and Server at IHS Towers

Using Microsoft Azure SQL Database is very easy; it's much easier than SQL on-premise because I don't have to worry about deploying infrastructure, and I can rapidly deploy via infrastructure as code.

Thomas Sawyer

Executive Director, Platform Architecture at Sumitomo Mitsui Banking Corporation – SMBC Group

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.

Luca Botti

Partner at Red software systems

It is particularly useful for unstructured and semi-structured data because of its performance in these areas.

Laksiri Bala

DB Architect / Consultant at Virtusa Global

The most valuable features of MongoDB Atlas in handling large data volumes include collection size and its NoSQL database capabilities.

Dhiraj Verma

General Manager at Kaleyra

For more quotes and insights, download the MongoDB Atlas report

Categories and Ranking

Microsoft Azure SQL Database

Ranking in Database as a Service (DBaaS)

1st

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

134

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

7.2

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (3rd), Database Management Systems (DBMS) (8th), AI Software Development (8th)

Mindshare comparison

As of January 2026, in the Database as a Service (DBaaS) category, the mindshare of Microsoft Azure SQL Database is 11.3%, down from 16.6% compared to the previous year. The mindshare of MongoDB Atlas is 12.7%, down from 15.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS) Market Share Distribution
Product	Market Share (%)
Microsoft Azure SQL Database	11.3%
MongoDB Atlas	12.7%
Other	76.0%

Database as a Service (DBaaS)

Featured Reviews

Thomas Sawyer

Executive Director, Platform Architecture at Sumitomo Mitsui Banking Corporation – SMBC Group

Automatic tuning and multi-region availability have reduced manual workloads and improved performance management

The features of Microsoft Azure SQL Database that I like the most are easy scaling and high availability. I appreciate those features because it's easy to make Microsoft Azure SQL Database readily available in a multi-region infrastructure. Using Microsoft Azure SQL Database is very easy; it's much easier than SQL on-premise because I don't have to worry about deploying infrastructure, and I can rapidly deploy via infrastructure as code. I am using the automatic tuning feature in Microsoft Azure SQL Database. We are using the new feature of data encryption in Microsoft Azure SQL Database with customer-managed keys only. The reliability and stability of Microsoft Azure SQL Database platform are rock-solid; it's as good, if not better, than what our on-premise stability has been from an uptime perspective.

Read full review

Laksiri Bala

DB Architect / Consultant at Virtusa Global

Room for improvement in data handling leads to enhanced cost-effective data management performance

It would be beneficial if MongoDB Atlas could better support OLTP aspects and data frames, as well as enhance its capabilities for data pipelines and visualization dashboards. Furthermore, supporting the medallion architecture could be a valuable addition, and incorporating improved spatial and vector handling for geographical data could make it more competitive. Enhancing vector processing for AI capabilities would also be critical.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

Manufacturing Company

Retailer

Computer Software Company

13%

Financial Services Firm

12%

Manufacturing Company

12%

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	59
Midsize Enterprise	17
Large Enterprise	61

By reviewers
Company Size	Count
Small Business	23
Midsize Enterprise	10
Large Enterprise	20

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?

I would say I am at a basic experience level with the pricing, setup costs and licensing because while I am the administrator for the service, I do not provision the services and worry about the co...

See all answers

What needs improvement with SQL Azure?

I have no comments at the moment on how Microsoft Azure SQL Database can be improved. I have no comments on additional features that I would like to see released in the next release. I do not have ...

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?

I have no idea about the pricing or setup cost with MongoDB Atlas.

See all answers

What needs improvement with MongoDB Atlas?

I would say pricing is an area where MongoDB Atlas could improve.

See all answers

Comparisons

Google Cloud SQL vs Microsoft Azure SQL Database

Compared 20% of the time

Amazon RDS vs Microsoft Azure SQL Database

Compared 16% of the time

Azure Database for PostgreSQL vs Microsoft Azure SQL Database

Compared 9% of the time

Microsoft Azure Cosmos DB vs Microsoft Azure SQL Database

Compared 7% of the time

Oracle Database as a Service vs Microsoft Azure SQL Database

Compared 5% of the time

More Microsoft Azure SQL Database Competitors

Amazon RDS vs MongoDB Atlas

Compared 15% of the time

MongoDB Enterprise Advanced vs MongoDB Atlas

Compared 7% of the time

Google Cloud Firestore vs MongoDB Atlas

Compared 6% of the time

Microsoft Azure Cosmos DB vs MongoDB Atlas

Compared 6% of the time

Amazon DocumentDB vs MongoDB Atlas

Compared 6% of the time

More MongoDB Atlas Competitors

Product Reports

Buyer's Guide

Microsoft Azure SQL Database

January 2026

Download Microsoft Azure SQL Database product report

Buyer's Guide

MongoDB Atlas

January 2026

Download MongoDB Atlas product report

Also Known As

No data available

Atlas, MongoDB Atlas (pay-as-you-go)

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 stands out with its schemaless architecture, scalability, and user-friendly design. It simplifies data management with automatic scaling and seamless integration, providing dynamic solutions for diverse industries.

MongoDB Atlas offers a cloud-based platform valued for its seamless integration capabilities and high-performance data visualization. It features advanced security options such as encryption and role-based access control alongside flexible data storage and efficient indexing. Users benefit from its robust API support and the ability to manage the platform without an extensive setup process. Feedback suggests improvements are needed in usability, query performance, security options, and third-party tool compatibility. While pricing and support services could be more economical, there is a demand for enhanced real-time monitoring and comprehensive dashboards, as well as advanced containerization and scalability options supporting complex database structures.

What are the key features of MongoDB Atlas?

Schemaless Architecture: Flexible data storage without predefined structure.
Automatic Scaling: Dynamically adjusts resources to meet demand.
Advanced Security: Encryption and role-based access control.
User-Friendly Interface: Simplified management and operation.
Robust API Support: Facilitates integration with applications.

What benefits should you consider in a solution like MongoDB Atlas?

Cost-Effective Management: Minimizes setup and operational costs.
Dynamic Data Management: Adapts to varying business demands.
Seamless Integration: Connects easily with other tools and frameworks.
High Performance: Optimized for real-time data processing and visualization.
Reliable Support: Accessible assistance and comprehensive documentation.

In healthcare and finance, MongoDB Atlas manages payment transactions and facilitates real-time analytics, powering SaaS solutions and storing large volumes of user data. It enhances scalability, performance, and security for cloud hosting, IoT integrations, and Node.js environments, widely favored for its flexibility and capability to support microservices.

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

December 2025

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