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 enables us to get work done quickly and get to our data."
"The stability and performance are great. The high availability feature is great. Moreover, I am happy with the automated backup and restore functionality."
"It has a flexible integration with our easy API."
"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."
"As a tester, it was easy to validate data, access data, make active run queries against it, and retrieve data from it."
"The product is simple to use and enterprise-ready. It is also open-source."
"It's flexible. We don't need to have a solid upstream availability failover, and everything is seamless in Atlas."
"Our databases used to be in-house. Now, they are in the cloud with MongoDB and everything is much easier."
"It is easily scalable, and it is faster than SQL Server. It is also less expensive than using SQL Server. It has the pay-as-you-go model, and the charges are based on the usage."
"The reason we moved to the cloud was for the convenience of not having any physical hardware to maintain."
"The most valuable feature is PolyBase."
"The solution is a fairly mature product. It provides good stability."
"Their technical support is the most valuable."
"The backup features are the most valuable."
"Its technical support team is good."
"The most useful feature of Azure SQL is the queries for manipulating the data, such as the tables and the storage processors."
"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."
"Customer support needs improvement knowledge-wise."
"The product's file storage documentation needs improvement."
"A few areas that we have noticed as being problematic with the MongoDB Atlas include user access to the platform. Currently, it is difficult to restrict and control what actions a user can perform within the solution, which poses a challenge from an internal auditing perspective."
"MongoDB Atlas should improve its user experience by providing better explanations or a wizard for people working with its UI."
"I would like a more comprehensive dashboard."
"MongoDB Atlas should add more APIs in their Terraform module because sometimes I find it difficult to find the resources in their Terraform model."
"An area for improvement in MongoDB Atlas is that it does not support individual or personal database backup, though it supports cloud cluster backup."
"The default 1433 port for communication should be customizable because most hacks or attacks are attempted when creating any application or database on the default port."
"The product's pricing needs improvement."
"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."
"Azure SQL can improve by adding more machine learning features like other databases, such as Cassandra or Cosmos DB."
"Its price could be better. It is expensive. I am not sure if Microsoft Master Data Services is included in this. If not, Master Data Services can be integrated with Azure SQL. I have only used Master Data Services on-premises."
"It's a little bit limited in terms of functionality."
"One of the nice features in Microsoft SQL Server is the SQL Server CLR, which we sometimes need to use to protect our procedures using C# or CLR. This is not available in the SQL Azure database."
"Their availability in the Middle East and Asia regions needs to improve."
MongoDB Atlas is ranked 3rd in Database as a Service with 41 reviews while SQL Azure is ranked 2nd in Database as a Service with 88 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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