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 8.7, while MongoDB is ranked #3 with an average rating of 8.3. Microsoft holds a 15.4% mindshare in DS, compared to MongoDB’s 13.3% 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 117 Microsoft Azure SQL Database reviews

4,175 Views
2,249 Comparison Views

96% willing to recommend

MongoDB Atlas

Read 49 MongoDB Atlas reviews

3,370 Views
2,041 Comparison Views

96% willing to recommend

Microsoft Azure SQL Database

MongoDB Atlas

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 2, 2025

Microsoft Azure SQL Database and MongoDB Atlas compete in the cloud-based database category. While Microsoft Azure SQL Database leads with enterprise-level security and support, MongoDB Atlas holds an edge with its flexible structure and seamless integrations, appealing to diverse data management needs.

Features: Microsoft Azure SQL Database is praised for seamless data integration, high availability, and scalability. Users value fast data access, security verifications, and efficient backup features. MongoDB Atlas stands out with its cloud-native architecture, schemaless design, and real-time data processing capabilities, allowing for seamless data adjustments and integrations.

Room for Improvement: Azure SQL Database could improve security features, cost efficiency, and performance monitoring. Users have also suggested enhancing documentation, customer support, and managing complex deployments. MongoDB Atlas users desire a better UI for data manipulation, improved query performance, and integration with third-party tools, alongside reduced costs and refined support services.

Ease of Deployment and Customer Service: Microsoft Azure SQL Database offers flexible deployment options across public, private, and hybrid clouds, supported by extensive technical help and documentation. User experiences with support vary, based on the complexities of deployments and support tiers. MongoDB Atlas provides straightforward public and hybrid cloud deployments, though users call for more intuitive interfaces and better customer service.

Pricing and ROI: Microsoft Azure SQL Database employs a pay-as-you-go model, notable for its flexibility, though sometimes critiqued for complexity. Users report significant ROI due to reduced infrastructure costs and improved scalability. MongoDB Atlas is recognized for a competitive pricing model, offering scalability benefits and low upfront investment, though users seek a clearer cost structure.

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

Buyer's Guide

Microsoft Azure SQL Database vs. MongoDB Atlas

June 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

Microsoft Azure SQL Database reduces total cost with pay-per-use, hybrid licensing, enhancing ROI through scalability and security.

Sentiment score

8.0

Organizations experienced ROI with MongoDB Atlas by reducing operational expenses and enhancing engineering efficiency through its advanced features.

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

6.9

Microsoft Azure SQL Database provides comprehensive support, but service quality varies by support tier and client size.

Sentiment score

7.0

MongoDB Atlas receives praise for efficient support, though experiences vary with plan levels, costs, and response times.

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

7.3

Microsoft Azure SQL Database offers flexible scalability, handling large data environments and adapting easily to varying workloads.

Sentiment score

7.6

MongoDB Atlas offers scalable solutions for businesses, efficiently handling data growth with autoscaling and high user ratings but requires careful configuration.

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

7.4

Microsoft Azure SQL Database is highly reliable and stable, with minimal latency issues, especially in well-designed, cloud-utilized systems.

Sentiment score

7.9

MongoDB Atlas is stable, reliable, and performs well under stress, though complex queries and OLTP transactions can be challenging.

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

Azure SQL Database needs better security, pricing, documentation, integration, support, and scalability, with enhanced analytics and management tools.

Users highlight issues in MongoDB Atlas, including UI crashes, high costs, complex scalability, and limited integration and support 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

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

Azure SQL Database pricing is complex, perceived as costly, but offers elasticity and cost-saving via Azure Hybrid Benefit.

MongoDB Atlas offers competitive pricing with flexible options, though some customers find support and advanced features costly.

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 scalable, cost-effective database management with seamless integration, global accessibility, security, and efficient automation.

MongoDB Atlas is praised for speed, scalability, user-friendly design, security, and cost-effective solutions for various organizational needs.

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

7.2

Number of Reviews

117

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 (7th)

Mindshare comparison

As of July 2025, in the Database as a Service (DBaaS) category, the mindshare of Microsoft Azure SQL Database is 15.4%, down from 18.1% compared to the previous year. The mindshare of MongoDB Atlas is 13.3%, down from 15.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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

Educational Organization

49%

Financial Services Firm

Computer Software Company

Manufacturing Company

Computer Software Company

19%

Financial Services Firm

15%

Manufacturing Company

Comms Service Provider

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 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?

Pricing could be improved to make Microsoft Azure SQL Database ( /products/microsoft-azure-sql-database-reviews ) more accessible. A reduction in price might encourage more users and bring more pro...

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 33% of the time

Amazon RDS vs Microsoft Azure SQL Database

Compared 24% 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 5% of the time

Oracle Exadata Cloud at Customer vs Microsoft Azure SQL Database

Compared 3% of the time

More Microsoft Azure SQL Database Competitors

Amazon RDS vs MongoDB Atlas

Compared 39% of the time

Google Cloud SQL vs MongoDB Atlas

Compared 10% of the time

MongoDB vs MongoDB Atlas

Compared 8% of the time

Amazon DocumentDB vs MongoDB Atlas

Compared 6% of the time

Upstash vs MongoDB Atlas

Compared 5% of the time

More MongoDB Atlas Competitors

Product Reports

Buyer's Guide

Microsoft Azure SQL Database

June 2025

Download Microsoft Azure SQL Database product report

Buyer's Guide

MongoDB Atlas

June 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

June 2025

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