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 initial setup of MongoDB Atlas is straightforward...It is a scalable solution."
"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 auto-scaling feature is the most valuable aspect."
"It enables us to get work done quickly and get to our data."
"Being schemaless is what I like best about MongoDB Atlas."
"It is nice because our developers create tables whenever they need to sync data."
"You can start quickly on projects which allow you to store many things."
"It's a good solution for NoSQL databases."
"The solution is quite straightforward to set up."
"The initial setup is straightforward."
"The most valuable feature of the solution is that our customers do not have to manage the solution."
"The SQL connector effectively syncs data to our database."
"Very easy to use on any platform and works 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."
"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 most useful feature of Azure SQL is the queries for manipulating the data, such as the tables and the storage processors."
"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."
"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."
"It would be great if it were easier to integrate MongoDB Atlas with AWS services. Technical support for MongoDB Atlas could be better."
"The UI application for MongoDB crashes a lot, so we would have to use a third-party plugin to make it work."
"Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side."
"The product does not have ORM."
"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."
"Customer support needs improvement knowledge-wise."
"The configuration is the area that is most cumbersome."
"They should include more accessible functions for image tooling."
"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."
"Although the solution integrates well into Azure’s ecosystem, it has limited capability and is incompatible with many third-party applications or tools."
"I feel that the price is high and it could be reduced."
"I haven't explored SQL Azure's features much, but I would like to see some better integration with Python."
"Their availability in the Middle East and Asia regions needs to improve."
"There are certain shortcomings when it comes to the stability of the product, especially if I consider the fact that there can always be some bug-related issues in the tool."
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.
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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.
