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 17.1% mindshare in DS, compared to MongoDB’s 15.0% 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

8,141 Views
3,439 Comparison Views

96% willing to recommend

MongoDB Atlas

Read 47 MongoDB Atlas reviews

4,552 Views
2,700 Comparison Views

98% willing to recommend

Microsoft Azure SQL Database

MongoDB Atlas

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.

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

Buyer's Guide

Microsoft Azure SQL Database vs. MongoDB Atlas

January 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:

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

7.5

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (6th)

Mindshare comparison

As of January 2025, in the Database as a Service (DBaaS) category, the mindshare of Microsoft Azure SQL Database is 17.1%, down from 18.9% compared to the previous year. The mindshare of MongoDB Atlas is 15.0%, up from 13.7% 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.

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Luca Botti

Partner at Red software systems

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.

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Quotes from Members

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

Pros

"Azure SQL is easy to integrate and simplifies things from a licensing perspective. We're comfortable with SQL versus other types of databases, so we feel better talking to Microsoft."

"The reason we moved to the cloud was for the convenience of not having any physical hardware to maintain."

"The most valuable feature is PolyBase."

"It's easy to use and maintain. If we look at the development of the maintenance team, we are not directly responsible for any infrastructure issues. We have too many positive sides to that. No maintenance, easy to use, and we'll know the limits very well."

"The backup solution in Azure is great, the firewall settings in SQL are very easy to use and work very well. Additionally, the turning process is very good and has improved the SQL services and queries."

"The ease of scaling the server up and down by simply pressing a few buttons in a dropdown menu has made our lives significantly more comfortable, especially as we aim to process more data this year by utilizing the cloud."

"It is easily scalable, and it is faster than SQL Server. It is also less expensive than using SQL Server. It has the pay-as-you-go model, and the charges are based on the usage."

"The stability is good."

More Microsoft Azure SQL Database pros

"Administering the solution is easy."

"Scalability is its most valuable feature, as it is pretty simple."

"It's flexible. We don't need to have a solid upstream availability failover, and everything is seamless in Atlas."

"The auto-scaling feature is the most valuable aspect."

"Its most valuable features are high availability and zero maintenance."

"The product provides quick transaction service, high availability, and efficient scalability features."

"The solution is easily scalable and manageable. Tools can be easily added to the solution."

"The solution has a very intuitive user interface."

More MongoDB Atlas pros

Cons

"The latency and availability of Microsoft Azure SQL Database can be problematic when connecting to an instance in a geographically distant location."

"It is a little bit expensive for us. They can improve the price. It would also be very helpful if they can offer some free trial."

"Operational cost needs improvement."

"There could be more collaboration with other tools like Data Factory and Databricks."

"The product could be more competitive in terms of features, security, and scalability."

"The price is a little higher."

"I would like to see the cloud connectivity environment improved."

"Its automation can be improved. SQL Server Agent was a very big part of the on-prem tools. While moving from on-prem to the cloud, redoing some of such tools was very cumbersome in Azure. There was a whole new set of technologies and methodologies. It should have easier automation-type features to be able to implement such tools. It should have almost a SQL agent type of substance built into that."

More Microsoft Azure SQL Database cons

"One improvement that I would like to see is a feature to export changes made in the environment, such as creating a new user."

"The tool's implementation should be made easier."

"I am still new with it, but since I mentioned that I'm using this product for only the last six months and my experience with this product is good thus far, on a scale of one to ten, I would give MongoDB Atlas a six."

"A few areas that we have noticed as being problematic with the MongoDB Atlas include user access to the platform. Currently, it is difficult to restrict and control what actions a user can perform within the solution, which poses a challenge from an internal auditing perspective."

"The product does not have ORM."

"The import and export process needs improvement, i.e., getting in and out. Moving data from other databases into MongoDB, along with indexing, was challenging."

"An area for improvement in MongoDB Atlas is that it does not support individual or personal database backup, though it supports cloud cluster backup."

"Based on its own habitat, it's not ACID compliant. If it had an ACID compliant option, it would be more useful for database administration."

More MongoDB Atlas cons

Pricing and Cost Advice

"Its price can definitely be lower. It is pretty pricey."

"It requires a license. As compared to its competitors, such as Oracle, it is affordable and reasonable."

"You can use it for smaller instances and pay less. You can also go for the premium product with all the security, scalability, and business continuity features, but you have to pay a premium amount."

"I believe the licensing is more on a global scale."

"Compared to other providers, the pricing is definitely on the affordable side."

"I am not aware of the exact pricing, but our monthly bill for Azure is around 80,000. It is less expensive than using SQL Server. It has the pay-as-you-go model, and the charges are based on the usage."

"I would like it to be cheaper, but comparatively, it is reasonably priced."

"The price in general of Azure SQL could improve."

More Microsoft Azure SQL Database pricing and cost advice

"Pricing could always be better."

"In my previous company, the product allowed use to build a database in a highly regulated environment with the ability to get distributed storage. We used MongoDB as a distributed storage to set up this environment for a critical business application with millions of dollars."

"For me, MongoDB is expensive, but I think it is not so expensive for customers."

"It is too expensive. They need to work on this."

"The price of MongoDB Atlas is highly affordable."

"MongoDB Atlas is more cost-effective than Amazon DocumentDB. It also has a pay-as-you-go pricing model. Apart from the standard licensing cost, you must also pay to get MongoDB Atlas technical support, which is expensive."

"We pay for the license on a monthly basis. It's not cheap or expensive. For smaller companies, it's definitely expensive."

"The pricing and licensing is great."

More MongoDB Atlas pricing and cost advice

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Top Industries

By visitors reading reviews

Educational Organization

72%

Computer Software Company

Financial Services Firm

Healthcare Company

Computer Software Company

18%

Financial Services Firm

16%

Healthcare 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 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

Compared 43% of the time

Amazon RDS vs Microsoft Azure SQL Database

Compared 28% of the time

Oracle Database as a Service vs Microsoft Azure SQL Database

Compared 7% of the time

vCloud Air vs Microsoft Azure SQL Database

Compared 2% of the time

IBM Db2 on Cloud vs Microsoft Azure SQL Database

Compared 2% of the time

More Microsoft Azure SQL Database Competitors

Amazon RDS vs MongoDB Atlas

Compared 52% of the time

Google Cloud SQL vs MongoDB Atlas

Compared 15% of the time

Google Cloud Spanner vs MongoDB Atlas

Compared 4% of the time

Upstash vs MongoDB Atlas

Compared 3% of the time

Amazon DocumentDB vs MongoDB Atlas

Compared 2% of the time

More MongoDB Atlas Competitors

Product Reports

Buyer's Guide

Microsoft Azure SQL Database

January 2025

Download Microsoft Azure SQL Database product report

Buyer's Guide

MongoDB Atlas

January 2025

Download MongoDB Atlas product report

Also Known As

No data available

Atlas

Learn More

Microsoft

MongoDB

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.

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.

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

January 2025

Free Report: Microsoft Azure SQL Database vs. MongoDB Atlas

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