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 product allows us to easily set up and store large amounts of unstructured data."
"I am impressed with the tool's integrations."
"The key feature of MongoDB Atlas that has been helpful for us is the ease of deploying new databases."
"MongoDB Atlas was explicitly designed to support IoT applications. Many databases offer features tailored for IoT use cases."
"MongoDB Atlas is very easy to use and user-friendly, and you get what you're paying for."
"Being schemaless is what I like best about MongoDB Atlas."
"The stability and performance are great. The high availability feature is great. Moreover, I am happy with the automated backup and restore functionality."
"The cloud-based nature of this solution makes it flexible and scalable."
"The solution is efficient and easy to use."
"The interface is awesome."
"SQL Azure can integrate well with other Microsoft Windows services."
"The most valuable features of SQL Azure are its reliability and quick scalability."
"Database services and Active Directory related functions for this solution are good. Stable, scalable, and easy to install. Its technical support is good."
"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."
"The main advantage of it is that there is no infrastructure cost. We don't have to host it here. So, there is no infrastructure cost."
"What I like the most is the processes and the easiness of deployments."
"Querying a dataset is not very intuitive, so I think that it can be improved."
"The price of the solution should be reduced."
"During the configuration, we did some migrations where we had to reindex about 70,000 indexes, which took around an hour. They should improve this and optimize the indexing."
"The installation was straightforward except for the network hardware because it was a little complicated to make the connection with our VPC on AWS."
"The initial setup is not too difficult but can be somewhat tricky."
"The product's data aggregation feature needs to work faster."
"I would like a more comprehensive dashboard."
"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 product could be more competitive in terms of features, security, and scalability."
"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."
"The initial setup was very complex."
"The solution lacks feedback tools."
"Its compatibility with existing applications can be improved. Its compatibility is currently a little bit imbalanced."
"I think that the cost management in SQL is not clear because we may use some tax to identify products, but in some cases identifying the transactions in SQL is not easy for some financial cost centers."
"The initial setup is complex."
"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."
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.
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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.
