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 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."
"This solution is very helpful due to its ease of use."
"It's flexible. We don't need to have a solid upstream availability failover, and everything is seamless in Atlas."
"The most beneficial MongoDB features for our workload are the ability to scale up and down using automatic sharding and clustering."
"You can start quickly on projects which allow you to store many things."
"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."
"Administering the solution is easy."
"It is a scalable solution because we use quite a lot of data, and it handles it well."
"The solution has become easier to use over time and it's also reasonably priced."
"The on-premise SQL Server licenses can be used since it is on Azure, so it's a significant savings for the customers."
"The backup features are the most valuable."
"The most valuable feature of SQL Azure is the user-friendly VMs."
"It's easy to use and maintain. If we look at the development of the maintenance team, we are not directly responsible for any infrastructure issues. We have too many positive sides to that. No maintenance, easy to use, and we'll know the limits very well."
"The initial setup was straightforward. Deployment takes about one hour."
"The solution is quire more stable than other tools."
"Cost savings are the most valuable. The DR/high availability is also valuable. The failover group with the built-in DR/high availability features is probably one of the easiest things."
"The cost needs improvement. The product is good, but the cost that we paid for it is expensive, so it wasn't that valuable."
"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."
"When I edit a document from a document, a lot of clicking is involved, like changing data type manually from a drop-down. It would be super nice if I could just edit the document in a JSON format. The JSON-based document editor should have a multi-language feature. Also, it would be great if there was a connect option from Google Looker Studio."
"The initial setup is not too difficult but can be somewhat tricky."
"The price of the solution should be reduced."
"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."
"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."
"The biggest challenge we all have is an application layer level. One node is sitting in the APAC region, another node is sitting in the US and UK region. The seamless replication has to be lightning fast, but we haven't tested the scalability yet."
"The price is a little higher."
"There is room for improvement regarding the pricing structure."
"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."
"SQL Azure could improve the feature set. They are catching up to Microsoft SQL Server."
"Service Broker should be added in Azure Cloud. Service Broker is currently available only in the on-premises version."
"I was using a user list for connecting a program in OTF for getting information. The connection in SQL Azure can improve by being easier because at the moment I have to use private certificates for user authentication. I had to do additional configuration to have the connections."
"The solution has to scale up its expertise for hosting Oracle."
"Although the solution integrates well into Azure’s ecosystem, it has limited capability and is incompatible with many third-party applications or tools."
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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