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 #2 with an average rating of 8.6, while MongoDB is ranked #3 with an average rating of 8.3. Microsoft holds a 13.0% mindshare in DS, compared to MongoDB’s 14.0% 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 118 Microsoft Azure SQL Database reviews

3,076 Views
3,045 Comparison Views

96% willing to recommend

MongoDB Atlas

Read 49 MongoDB Atlas reviews

4,420 Views
3,580 Comparison Views

96% willing to recommend

Microsoft Azure SQL Database

MongoDB Atlas

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 5, 2025

Microsoft Azure SQL Database and MongoDB Atlas compete in the cloud database market. Microsoft Azure SQL Database seems to have an edge in terms of scalability and integration, while MongoDB Atlas offers greater flexibility for handling unstructured data.

Features: Microsoft Azure SQL Database includes geographical replication, memory-optimized tables, and robust security features, enhancing integration and scalability. It offers a seamless cloud experience with flexible licensing terms. MongoDB Atlas is recognized for its flexibility in handling unstructured data with a schemaless architecture, supports rich queries and auto-scaling, and offers robust integration tools.

Room for Improvement: Microsoft Azure SQL Database could improve its security features, performance monitoring, and streamline pricing model. Enhancements in user management and support for distributed transactions could also be beneficial. MongoDB Atlas could enhance its user interface, provide more intuitive data manipulation tools, and improve query performance. Cost reductions would make the solution more affordable.

Ease of Deployment and Customer Service: Microsoft Azure SQL Database is versatile in deployment across public, private, and hybrid clouds, supported by comprehensive documentation and reliable technical support, although responses can be slow for non-premium customers. MongoDB Atlas is primarily used in public cloud environments with straightforward deployment processes, though support can be inconsistent, sometimes lacking technical depth.

Pricing and ROI: Microsoft Azure SQL Database offers various licensing options with a notable cost advantage within Azure's ecosystem. It provides cost benefits through scalability, but the pricing model can be complex for larger setups. MongoDB Atlas uses a pay-as-you-go model, flexible yet potentially expensive for enterprise-level usage. Additional features can increase the total cost despite its general cost-effectiveness compared to similar solutions.

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

Buyer's Guide

Microsoft Azure SQL Database vs. MongoDB Atlas

September 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

6.8

Microsoft Azure SQL Database reduces costs and improves ROI with features like Elastic Pool and flexible pay-per-use pricing.

Sentiment score

8.0

Users achieved strong ROI from MongoDB Atlas through cost savings, fast performance, and efficient cloud-based data management despite high support costs.

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

No quotes available

For more quotes and insights, download the MongoDB Atlas report

Customer Service

Sentiment score

6.7

Microsoft Azure SQL Database is lauded for its robust support and resources, though support quality varies by plan and client status.

Sentiment score

7.0

MongoDB Atlas customer service is praised for knowledgeable premium support, with faster responses in higher-tier plans despite some cost 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 Northrop Grumman

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

7.1

Microsoft Azure SQL Database excels in scalability, allowing easy management of workloads and seamless transitions with varied scalability options.

Sentiment score

7.6

MongoDB Atlas effectively scales from gigabytes to terabytes, handling thousands of users, though shard management can be challenging.

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

7.1

Microsoft Azure SQL Database is highly reliable and stable, with minor initial latency resolved by optimizations, praised for security.

Sentiment score

7.9

MongoDB Atlas is highly reliable, efficiently handling workloads with automatic updates, despite minor interface issues, and is user-trusted.

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

Therefore, it is preferable to provision an instance local to the connection point to optimize performance and minimize latency.

Jason McCullagh

Senior Director at Upland 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

Microsoft Azure SQL Database faces pricing complexity and integration issues, needing better documentation, security, and enhanced flexibility for users.

MongoDB Atlas users seek UI improvements, cost reduction, better integration, scalability, and enhanced security, training, APIs, and support.

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

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

To overcome this, we collaborated with the network team to develop alternative solutions.

reviewer2595303

Sr. Principal Database at Northrop Grumman

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

For more quotes and insights, download the MongoDB Atlas report

Setup Cost

Microsoft Azure SQL Database pricing is flexible but complex, with competitive costs and challenges in transparency and predictability.

Enterprise buyers find MongoDB Atlas pricing acceptable, yet opinions on cost-effectiveness differ; the free tier enhances its appeal.

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 offers scalability, high availability, security, ease of use, and seamless integration with Microsoft products.

MongoDB Atlas offers speed, flexibility, easy scalability, and advanced features for efficient data management, enhancing performance and reducing costs.

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

Some of the best features of Microsoft Azure SQL Database are its scalability, pricing, and ease of setup.

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

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)

2nd

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

118

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

Ranking in other categories

Managed NoSQL Databases (3rd)

Mindshare comparison

As of October 2025, in the Database as a Service (DBaaS) category, the mindshare of Microsoft Azure SQL Database is 13.0%, down from 17.6% compared to the previous year. The mindshare of MongoDB Atlas is 14.0%, down from 16.2% 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	13.0%
MongoDB Atlas	14.0%
Other	73.0%

Database as a Service (DBaaS)

Featured Reviews

Charley Hanania

Data Platform Specialist at QS2 AG - Quality Software Solutions

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.

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

13%

Computer Software Company

11%

Manufacturing Company

Retailer

Computer Software Company

15%

Financial Services Firm

12%

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	55
Midsize Enterprise	15
Large Enterprise	50

By reviewers
Company Size	Count
Small Business	22
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?

The pricing of Microsoft Azure SQL Database is not cheap, affecting user uptake. A gradual reduction in price could improve accessibility and user numbers, making it easier for users to adopt the s...

See all answers

What needs improvement with SQL Azure?

I have used the Microsoft Azure SQL Database for two years now, and I don't find it satisfactory. It's slow and expensive. The Microsoft Azure SQL Database is not the latest version of Microsoft SQ...

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

See all answers

What needs improvement with MongoDB Atlas?

There is nothing about MongoDB Atlas I would like to improve or any weak points at this time. I have not thought through what other features I would like to see included in future updates. MongoDB ...

See all answers

Comparisons

Google Cloud SQL vs Microsoft Azure SQL Database

Compared 23% of the time

Amazon RDS vs Microsoft Azure SQL Database

Compared 19% of the time

Azure Database for PostgreSQL vs Microsoft Azure SQL Database

Compared 7% of the time

Oracle Database as a Service vs Microsoft Azure SQL Database

Compared 7% of the time

Microsoft Azure Cosmos DB vs Microsoft Azure SQL Database

Compared 7% of the time

More Microsoft Azure SQL Database Competitors

Amazon RDS vs MongoDB Atlas

Compared 20% of the time

MongoDB Enterprise Advanced vs MongoDB Atlas

Compared 9% of the time

Google Cloud SQL vs MongoDB Atlas

Compared 7% of the time

Amazon DocumentDB vs MongoDB Atlas

Compared 7% of the time

Google Cloud Firestore vs MongoDB Atlas

Compared 6% of the time

More MongoDB Atlas Competitors

Product Reports

Buyer's Guide

Microsoft Azure SQL Database

October 2025

Download Microsoft Azure SQL Database product report

Buyer's Guide

MongoDB Atlas

October 2025

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

September 2025

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