Try our new research platform with insights from 80,000+ expert users

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 8.4. Microsoft holds a 15.9% mindshare in DS, compared to MongoDB’s 14.5% 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
  • 6,648 Views
  • 2,858 Comparison Views
96% willing to recommend
MongoDB Atlas
Read 48 MongoDB Atlas reviews
  • 3,963 Views
  • 2,403 Comparison Views
96% willing to recommend
 

Comparison Buyer's Guide

Download the report
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.

DOWNLOAD THE COMPLETE REPORT
To learn more, read our detailed Microsoft Azure SQL Database vs. MongoDB Atlas Report (Updated: April 2025).
Buyer's Guide
Microsoft Azure SQL Database vs. MongoDB Atlas
April 2025
Download the complete report
Helped 848,716 peers since 2012

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
7.9
Organizations benefit from MongoDB Atlas through cost savings, engineering efficiency, enhanced performance, and reduced operational costs despite support concerns.
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 provides comprehensive support, but service quality varies by support tier and client size.
Sentiment score
6.9
MongoDB Atlas support is praised for expertise and responsiveness but criticized for cost and occasional first-level support delays.
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.
The features of MongoDB Atlas fall short, resulting in an average rating due to higher-expectation features still lacking in its offerings.
For more quotes and insights, download the MongoDB Atlas report
Maanda Ambani - PeerSpot reviewer
TG
reviewer2595303 - PeerSpot reviewerLuca Botti - PeerSpot reviewerLaksiri Bala - PeerSpot reviewer
 

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, reliable, and easy-to-use data solutions, accommodating growth with high ratings despite some technical 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
MongoDB Atlas offers sharding as a scalability feature, although it does not perform as well as Oracle.
For more quotes and insights, download the MongoDB Atlas report
Michael Hamlett - PeerSpot reviewer
KC
reviewer2595312 - PeerSpot reviewerLaksiri Bala - PeerSpot reviewer
 

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 offers stable performance with auto-scaling, despite occasional UI issues, and supports critical applications effectively.
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
When it comes to OLTP transactions, its performance declines.
For more quotes and insights, download the MongoDB Atlas report
Maanda Ambani - PeerSpot reviewer
FW
Jason McCullagh - PeerSpot reviewerLaksiri Bala - PeerSpot reviewer
 

Room For Improvement

Azure SQL Database needs better security, pricing, documentation, integration, support, and scalability, with enhanced analytics and management tools.
MongoDB Atlas requires enhanced UI, optimized processes, better integration, security, performance improvements, and user-friendly documentation 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.
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
Enhancing capabilities for data pipelines and visualization dashboards.
For more quotes and insights, download the MongoDB Atlas report
reviewer2595777 - PeerSpot reviewerMichael Hamlett - PeerSpot reviewerreviewer2595303 - PeerSpot reviewerLaksiri Bala - PeerSpot reviewer
 

Setup Cost

Azure SQL Database pricing is complex, perceived as costly, but offers elasticity and cost-saving via Azure Hybrid Benefit.
MongoDB Atlas is competitively priced with flexible pay-as-you-go options, though technical support can be costly.
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.
The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it.
For more quotes and insights, download the MongoDB Atlas report
Charley Hanania - PeerSpot reviewerFabricio Noriega - PeerSpot reviewer
FW
Luca Botti - PeerSpot reviewerLaksiri Bala - PeerSpot reviewer
 

Valuable Features

Microsoft Azure SQL Database offers scalable, cost-effective database management with seamless integration, global accessibility, security, and efficient automation.
MongoDB Atlas excels in scalability, user-friendliness, security, and cost-effectiveness, supporting diverse workloads with seamless integrations and robust performance.
The simplicity in usability, along with improved organizational productivity where we no longer need to maintain on-premises SQL servers, is invaluable.
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.
Some of the best features of Microsoft Azure SQL Database are its scalability, pricing, and ease of setup.
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.
It is particularly useful for unstructured and semi-structured data because of its performance in these areas.
For more quotes and insights, download the MongoDB Atlas report
reviewer2596431 - PeerSpot reviewerFatai Akinwande - PeerSpot reviewerMichael Hamlett - PeerSpot reviewerLuca Botti - PeerSpot reviewerLaksiri Bala - 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
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
48
Ranking in other categories
Managed NoSQL Databases (6th)
 

Mindshare comparison

As of April 2025, in the Database as a Service (DBaaS) category, the mindshare of Microsoft Azure SQL Database is 15.9%, down from 18.4% compared to the previous year. The mindshare of MongoDB Atlas is 14.5%, down from 14.6% 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.
Read full review
Laksiri Bala - PeerSpot reviewer
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
report
See which vendors are best for you
Use our free recommendation engine to learn which Database as a Service (DBaaS) solutions are best for your needs.
See recommendations
848,716 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Educational Organization
72%
Computer Software Company
5%
Financial Services Firm
4%
Manufacturing Company
2%
Computer Software Company
19%
Financial Services Firm
16%
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 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?
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, supporti...
See all answers
 

Comparisons

Google Cloud SQL vs Microsoft Azure SQL Database Logo
Google Cloud SQL vs Microsoft Azure SQL Database
Compared 42% of the time
Amazon RDS vs Microsoft Azure SQL Database Logo
Amazon RDS vs Microsoft Azure SQL Database
Compared 26% 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
vCloud Air vs Microsoft Azure SQL Database Logo
vCloud Air vs Microsoft Azure SQL Database
Compared 2% of the time
Microsoft Azure Cosmos DB vs Microsoft Azure SQL Database Logo
Microsoft Azure Cosmos DB 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 44% of the time
Google Cloud SQL vs MongoDB Atlas Logo
Google Cloud SQL vs MongoDB Atlas
Compared 12% 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
Amazon DocumentDB vs MongoDB Atlas Logo
Amazon DocumentDB vs MongoDB Atlas
Compared 5% of the time
More MongoDB Atlas Competitors
 

Product Reports

Buyer's Guide
Microsoft Azure SQL Database
April 2025
Microsoft Azure SQL Database reportDownload Microsoft Azure SQL Database product report
Buyer's Guide
MongoDB Atlas
April 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
April 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: April 2025.
DOWNLOAD NOW
848,716 professionals have used our research since 2012.
See our Microsoft Azure SQL Database vs. MongoDB Atlas report.
See our list of best Database as a Service (DBaaS) vendors.

We monitor all Database as a Service (DBaaS) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.