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."Its most valuable features are high availability and zero maintenance."
"The features that I have found most valuable include the very easy integrations. The integrations are fantastic. I have not faced any challenges from the integration standpoint."
"The most beneficial MongoDB features for our workload are the ability to scale up and down using automatic sharding and clustering."
"MongoDB Atlas is very easy to use and user-friendly, and you get what you're paying for."
"The product is simple to use and enterprise-ready. It is also open-source."
"Object-based data storing capability and managing non-structured data capability are the most valuable features of MongoDB Atlas."
"It's flexible. We don't need to have a solid upstream availability failover, and everything is seamless in Atlas."
"MongoDB Atlas was explicitly designed to support IoT applications. Many databases offer features tailored for IoT use cases."
"Its technical support team is good."
"We primarily and generally use it only for DB purposes. When it comes to the Azure part, we can easily provision, scale up, and scale down the generator machine. This kind of flexibility is the USP of SQL Azure. Its interface and ease of use are also valuable. It is very easy to use and integrate with multiple databases. If I need to pull in or import some data from my on-premises database, the ease with which you can connect and pull the data, not only from SQL Server but also from other flavors of MySQL or even Oracle, is very good."
"SQL Azure can integrate well with other Microsoft Windows services."
"The product is quite stable. The performance is great and it's reliable."
"The scalability and simple management of the infrastructure are the most valuable features."
"The initial setup is straightforward."
"Customers can benefit from a lot of cost savings if they go for Azure."
"The most useful feature of Azure SQL is the queries for manipulating the data, such as the tables and the storage processors."
"Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side."
"Customer support needs improvement knowledge-wise."
"MongoDB Atlas should add more APIs in their Terraform module because sometimes I find it difficult to find the resources in their Terraform model."
"The price of the solution should be reduced."
"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."
"Querying a dataset is not very intuitive, so I think that it can be improved."
"The product's file storage documentation needs improvement."
"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 problem is the automated configuration."
"From a security perspective, although their features are decent, they can always be improved upon, updated, and refined to help protect clients better."
"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."
"It's very difficult to investigate if something wrong is going on behind the scenes. If we are facing a problem that our application is doing a CPU spike and when we look at the dump of the details, the processes that our application is generating are not consuming more than 40-50% of CPU. But we don’t know where it is going, who's generating it, and who's consuming the CPU. Even Microsoft says they don’t know."
"The solution’s visibility could be improved."
"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."
"They should include more accessible functions for image tooling."
"It's a little bit limited in terms of functionality."
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 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.
