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 8.6, while MongoDB is ranked #3 with an average rating of 8.4. Microsoft holds a 17.3% mindshare in DS, compared to MongoDB’s 15.5% 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 115 Microsoft Azure SQL Database reviews

8,417 Views
3,609 Comparison Views

96% willing to recommend

MongoDB Atlas

Read 47 MongoDB Atlas reviews

4,757 Views
2,804 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: December 2024).

Buyer's Guide

Microsoft Azure SQL Database vs. MongoDB Atlas

December 2024

Download the complete report

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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

115

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 (4th)

Mindshare comparison

As of December 2024, in the Database as a Service (DBaaS) category, the mindshare of Microsoft Azure SQL Database is 17.3%, down from 19.0% compared to the previous year. The mindshare of MongoDB Atlas is 15.5%, up from 13.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS)

Featured Reviews

Adam Carlson

Senior Technical Lead (Sharepoint) at a manufacturing company with 10,001+ employees

Integrates with other Microsoft applications very well

Azure SQL had a bit of a learning curve to start, but it was fairly simple once I understood how to develop it. I was using PowerShell to connect to it, and I've never connected to online databases through Azure using PowerShell. Scripting the PowerShell connections could be simpler. The coding is familiar, but figuring out how to use it initially can be easier.

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AhmetÖzdemir

Senior Database Administrator at Türk Telekom

Allows our business to analyze social media data with machine learning and store the data in MongoDB

I have also used Microsoft SQL databases. There's a distinction between SQL and MongoDB because one of them is based on the schema first. The other is not schema, not permanent, because of ACID compliant databases. The transaction is very important at the SQL, MYSQL, and Postgre databases, so if any transaction fails, it has to roll back because of the schema at most of ACID compliant databases. There are 35 million customers that consume those databases, like a POC system. Lots of transactions passing through the system are based on Microsoft SQL. Only semi-structured data – like a document based system like Twitter and social media data – is based on MongoDB.

Read full review

Quotes from Members

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

Pros

"The solution is quire more stable than other tools."

"The hardware is all managed by Microsoft."

"Cost savings are the most valuable. The DR/high availability is also valuable. The failover group with the built-in DR/high availability features is probably one of the easiest things."

"The integration with Azure Data Factory is seamless and straightforward, described as just a click away."

"We have come from hosting on-premise for customers, or they've done it themselves with SQL. We've now taken a cloud offering for the equivalent services of standard database management and the inbuilt backup and restore offerings. The scalability is probably the biggest feature that we are benefiting from by being in the cloud."

"The solution is quite straightforward to set up."

"The initial setup is very easy. It's extremely straightforward."

"The most valuable aspect of Microsoft Azure SQL Database is its accessibility."

More Microsoft Azure SQL Database pros

"The cloud-based nature of this solution makes it flexible and scalable."

"The product allows us to easily set up and store large amounts of unstructured data."

"The initial setup is straightforward."

"The speed of it is the most valuable feature."

"It can store data as a flat file, similar to a file system."

"It enables us to get work done quickly and get to our data."

"The most beneficial MongoDB features for our workload are the ability to scale up and down using automatic sharding and clustering."

"I find MongoDB Atlas highly scalable and easy to use, with very good support."

More MongoDB Atlas pros

Cons

"The document storage is primarily relational, which is not ideally suited for SQL. If there were better integration with SharePoint for document handling in SQL, it would greatly benefit the organization. Moreover, the current on-premise limitations prevent direct file pulling, limiting certain capabilities."

"The managed SQL MI does not allow us to control the zone it runs in, which affects latency."

"One of the nice features in Microsoft SQL Server is the SQL Server CLR, which we sometimes need to use to protect our procedures using C# or CLR. This is not available in the SQL Azure database."

"A potential area for improvement could be integrating with third-party clouds."

"The solution could improve by supporting more operating systems."

"We haven't had any major issues that have prevented us from doing stuff fundamentally. For its implementation, sometimes, it is complicated to understand what your needs are. It would be good to have a few use cases that provide different cloud variations that match on-premise installations and show how they can be moved to the cloud a bit better."

"There isn't any new improvement that I can think of at the moment. We have different deployment choices, such as running SQL on an Azure VM or deploying SQL-managed instances. The managed instance is a significant improvement over running SQL in an Azure VM."

"They should also simplify the security in Azure. We are using the cloud as a platform, so there is no physical infrastructure. We're using Azure components like databases and servers to create an application. Integrating those components in terms of permissions and security is challenging for us. Maybe there is a lack of knowledge on our side, but it's not straightforward."

More Microsoft Azure SQL Database cons

"The biggest challenge we all have is an application layer level. One node is sitting in the APAC region, another node is sitting in the US and UK region. The seamless replication has to be lightning fast, but we haven't tested the scalability yet."

"It would be great if it were easier to integrate MongoDB Atlas with AWS services. Technical support for MongoDB Atlas could be better."

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

"Searching and browsing through the collection must be made easier."

"We had some bad trainers when we first came onboard and would rate them fairly low. They did not seem staffed properly to fulfill the training services that they offered."

"They could explore ways to facilitate deploying MongoDB containers within the platform."

"The web console isn't very intuitive, especially for large data."

"In the past, MongoDB offered more features for free, but now it's quite limited. The free version is limited, and you need to pay extra to fully utilize it. The pricing could be improved."

More MongoDB Atlas cons

Pricing and Cost Advice

"The pricing is flexible and can be adapted based on our requirements but the pricing options are complex especially if we are using a VM."

"It is quite expensive. I would definitely recommend not using the pay-as-you-go model because this will just mean all your money will go to Microsoft. So, really make sure to control resource usage as much as possible."

"I would rate the pricing a seven out of ten."

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

"There is a license required to use the solution and it cost $30 to do the installation."

"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."

"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."

"When you go with SQL Azure Database, you can create a small database, which is around $4 to $5 per month for development purposes."

More Microsoft Azure SQL Database pricing and cost advice

"The pricing is not that expensive, but it can be, especially when we have deployed it across multiple zones."

"Comparing the price between the MongoDB and Microsoft SQL Server, we are using the enterprise edition of Microsoft SQL Server, which is more expensive than MongoDB."

"I am using the free version of the solution."

"For our service, it was around 300 to 600 euros per month, which was acceptable for our customers."

"The price of MongoDB Atlas is highly expensive to use and maintain. They are taking advantage of the users with such a high price."

"The solution is expensive overall. It does not require a license but if you want the support then you will need to purchase the license. They use a pay-as-you-go model and you are able to receive some discounts by making longer usage commitments."

"The pricing is acceptable for enterprise tier."

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

More MongoDB Atlas pricing and cost advice

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Top Industries

By visitors reading reviews

Educational Organization

71%

Computer Software Company

Financial Services Firm

Healthcare Company

Computer Software Company

18%

Financial Services Firm

15%

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?

While the pricing of Microsoft Azure SQL Database is good, obtaining an estimate of monthly costs based on specific needs was challenging. Initially, Microsoft asked us to sign up and use the servi...

See all answers

What needs improvement with SQL Azure?

One area for improvement is the need for accurate cost estimates. When I initially tried to set it up, I could not get an accurate quote on what my monthly costs would be based on my needs.

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 am using the free version of the solution.

See all answers

What needs improvement with MongoDB Atlas?

Searching and browsing through the collection must be made easier.

See all answers

Comparisons

Google Cloud SQL vs Microsoft Azure SQL Database

Compared 41% 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 8% of the time

IBM Db2 on Cloud vs Microsoft Azure SQL Database

Compared 2% of the time

vCloud Air vs Microsoft Azure SQL Database

Compared 2% of the time

More Microsoft Azure SQL Database Competitors

Amazon RDS vs MongoDB Atlas

Compared 53% of the time

Google Cloud SQL vs MongoDB Atlas

Compared 16% of the time

Google Cloud Spanner vs MongoDB Atlas

Compared 4% of the time

Upstash vs MongoDB Atlas

Compared 3% of the time

Oracle Exadata Cloud at Customer vs MongoDB Atlas

Compared 2% of the time

More MongoDB Atlas Competitors

Product Reports

Buyer's Guide

Microsoft Azure SQL Database

December 2024

Download Microsoft Azure SQL Database product report

Buyer's Guide

MongoDB Atlas

December 2024

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

December 2024

Free Report: Microsoft Azure SQL Database vs. MongoDB Atlas

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