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."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."
"I am impressed with the tool's integrations."
"The product is simple to use and enterprise-ready. It is also open-source."
"It is nice because our developers create tables whenever they need to sync data."
"What I found most valuable in MongoDB Atlas is its Elasticsearch feature. It also has high availability, so it's stable."
"The stability and performance are great. The high availability feature is great. Moreover, I am happy with the automated backup and restore functionality."
"You can start quickly on projects which allow you to store many things."
"This solution is very helpful due to its ease of use."
"SQL Azure can integrate well with other Microsoft Windows services."
"The administration console in Azure, all in one is the most valuable feature."
"Great auto-scaling and security features."
"The most valuable feature of SQL Azure is the user-friendly VMs."
"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."
"The solution is quite straightforward to set up."
"The most valuable feature from the infra point of view is you don't have to keep any on-prem infrastructure, it is available all the time whenever you want to access it."
"Azure Portal is most valuable."
"The replica side, like the venue, can be improved."
"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."
"One improvement that I would like to see is a feature to export changes made in the environment, such as creating a new user."
"Customer support needs improvement knowledge-wise."
"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."
"The tool's implementation should be made easier."
"It would be great if it were easier to integrate MongoDB Atlas with AWS services. Technical support for MongoDB Atlas could be better."
"The solution requires familiarity with its language so can be tricky."
"The solution could improve by supporting more operating systems."
"The solution’s visibility could be improved."
"It's not a feature, but the solution only offers a certain amount of memory and that's limiting. The scalability should be extended to more than two terabytes."
"The product's pricing needs improvement."
"We have a very small database running on SQL Azure. We have not been able to load bigger systems on it. It is still not something that is feasible. All our heavy-duty systems are on SAP, and it should have more compatibility with other vendors such as SAP. Its price can definitely be lower. It is pretty pricey."
"Support isn't that great. They need to work on this aspect of their service. It can be challenging to reach them."
"Their support is nice but their responses aren't effective."
MongoDB Atlas is ranked 3rd in Database as a Service with 43 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 Google Cloud SQL, Amazon RDS, 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.
