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 dynamic structures are the most valuable."
"The most valuable feature is that it's all web-based. So one can browse collections just from the web. MongoDB Atlas is very accessible, quick to understand, and quick to learn. People who have never used CLI can hop into the web interface and browse the database."
"As a tester, it was easy to validate data, access data, make active run queries against it, and retrieve data from it."
"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."
"MongoDB Atlas is a database that is quite fast, stable, and reliable."
"The solution is easy to use, the console is user-friendly, and overall a well-designed solution. It takes a complex system and makes it easy to understand. Additionally, the solution is always advancing and they provide a roadmap into what is coming in the future."
"The product provides quick transaction service, high availability, and efficient scalability features."
"The product is user-friendly."
"The data availability and speed are impressive, especially compared to legacy systems. The loading speeds are much faster on Azure SQL."
"It's user-friendly. Compared to other solutions, it's based more on clicks, not on scripts. It's easy to manage."
"The hardware is all managed by Microsoft."
"SQL is a simpler database. We use it more than other databases."
"The stability is good."
"SQL Azure can integrate well with other Microsoft Windows services."
"The most valuable aspect of SQL Azure is the SQL language itself. It's open and everybody can use it at my company. Also, we thought in the beginning that the response time would be inadequate, but it's actually decent. It's much better than expected. Then again, I'm not a programmer, but that's what I hear from our development team."
"We have come from hosting on-premise for customers, or they've done it themselves with SQL. We've now taken a cloud offering for the equivalent services of standard database management and the inbuilt backup and restore offerings. The scalability is probably the biggest feature that we are benefiting from by being in the cloud."
"One improvement that I would like to see is a feature to export changes made in the environment, such as creating a new user."
"They could explore ways to facilitate deploying MongoDB containers within the platform."
"The replica side, like the venue, can be improved."
"The initial setup is not too difficult but can be somewhat tricky."
"If it could be cheaper, that would make us happy."
"The product's file storage documentation needs improvement."
"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."
"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 solution needs to improve its customer network, including its online support."
"The management is entirely controlled by Microsoft, so there are some restrictions."
"There is probably more functionality in our on-prem SQL Server than SQL Azure."
"SQL Azure could improve by adding more features."
"The user interface (UI) could be more flexible."
"The configuration is the area that is most cumbersome."
"The only problem we have with Azure is regarding the price."
"Support isn't that great. They need to work on this aspect of their service. It can be challenging to reach them."
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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