We performed a comparison between MongoDB Atlas and SQL Azure based on real PeerSpot user reviews.
Find out in this report how the two Database as a Service solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It's a good solution for NoSQL databases."
"MongoDB Atlas is a database that is quite fast, stable, and reliable."
"The product is simple to use and enterprise-ready. It is also open-source."
"The most valuable feature of MongoDB Atlas is it's seamless when working with a lot of different systems. Additionally, it is able to adjust the data based on the data being received."
"The product is user-friendly."
"The solution is easily scalable and manageable. Tools can be easily added to the solution."
"It enables us to get work done quickly and get to our data."
"The cloud-based nature of this solution makes it flexible and scalable."
"The most valuable feature of SQL Azure is the user-friendly VMs."
"The solution is efficient and easy to use."
"The stability is good."
"Its performance is good. It has a lot of features. It has the backup feature, which is not there in Amazon RDS. In Azure SQL, there is an option to replicate and restore a database point to point, whereas we can't do that with Amazon RDS."
"I prefer using Microsoft SQL Server because I like the experience and the way Microsoft handles the query tuning and security."
"Emergency mode is quite useful."
"The product's initial setup phase is very easy."
"Its technical support team is good."
"The cost needs improvement."
"The UI is not currently designed in a manner to make it possible for a non-technical person or a layman to update the database easily."
"The tool's implementation should be made easier."
"The UI application for MongoDB crashes a lot, so we would have to use a third-party plugin to make it work."
"It would be great if it were easier to integrate MongoDB Atlas with AWS services. Technical support for MongoDB Atlas could be better."
"MongoDB Atlas should improve its user experience by providing better explanations or a wizard for people working with its UI."
"When I edit a document from a document, a lot of clicking is involved, like changing data type manually from a drop-down. It would be super nice if I could just edit the document in a JSON format. The JSON-based document editor should have a multi-language feature. Also, it would be great if there was a connect option from Google Looker Studio."
"The speed when combining two documents is concerning."
"Their support is nice but their responses aren't effective."
"I need Microsoft to allow their network to access open source technologies."
"The management is entirely controlled by Microsoft, so there are some restrictions."
"The product could be more competitive in terms of features, security, and scalability."
"It's a little bit limited in terms of functionality."
"The way it has been designed, in the on-premises deployments, the underlying Windows OS is highly scalable but has a very large resource requirement. A lot of power-related and memory-related things are there, which I have not seen in the RHEL and Oracle. I have not tried SQL on RHEL EXEC. On Windows, infrastructure-wise, a very large workload is running on the SQL. This issue is related to Windows, not SQL."
"There is so much information that it becomes confusing at times. The information can be more friendly. They could also provide additional training, especially at the beginning."
"It would help if the solution was more secure."
MongoDB Atlas is ranked 3rd in Database as a Service with 42 reviews while SQL Azure is ranked 2nd in Database as a Service with 90 reviews. MongoDB Atlas is rated 8.4, while SQL Azure is rated 8.6. The top reviewer of MongoDB Atlas writes "Allows our business to analyze social media data with machine learning and store the data in MongoDB". On the other hand, the top reviewer of SQL Azure writes "The SQL connector effectively syncs data to databases". MongoDB Atlas is most compared with Amazon RDS, Google Cloud SQL, Oracle Database as a Service, Google Cloud Spanner and Oracle Exadata Cloud at Customer, whereas SQL Azure is most compared with Amazon RDS, Google Cloud SQL, Oracle Database as a Service, Google Cloud Spanner and IBM Db2 on Cloud. See our MongoDB Atlas vs. SQL Azure report.
See our list of best Database as a Service vendors.
We monitor all Database as a Service 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.
