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 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."
"MongoDB Atlas is a platform as a service and it has proven to be particularly valuable due to its self-managing nature. This has allowed us to minimize the amount of time and effort required to manage it, as it effectively manages itself. Additionally, it is a complete solution when looking at its features."
"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."
"The solution is easily scalable and manageable. Tools can be easily added to the solution."
"The speed of it is the most valuable feature."
"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."
"The key feature of MongoDB Atlas that has been helpful for us is the ease of deploying new databases."
"Its technical support team is good."
"What I like the most is the processes and the easiness of deployments."
"The initial setup is straightforward."
"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."
"They have good documentation. It's concentrated information."
"I prefer using Microsoft SQL Server because I like the experience and the way Microsoft handles the query tuning and security."
"The data availability and speed are impressive, especially compared to legacy systems. The loading speeds are much faster on Azure SQL."
"The stability is good and the performance is fantastic. Even when we try to do an inquiry into issues we can do it easily."
"Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side."
"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 cost needs improvement."
"The product's data aggregation feature needs to work faster."
"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 initial configuration fine-tuning for performance can be time-consuming."
"The product does not have ORM."
"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."
"I would like to see integration with Snowflake."
"Their support is nice but their responses aren't effective."
"The only problem we have with Azure is regarding the price."
"Its automation can be improved. SQL Server Agent was a very big part of the on-prem tools. While moving from on-prem to the cloud, redoing some of such tools was very cumbersome in Azure. There was a whole new set of technologies and methodologies. It should have easier automation-type features to be able to implement such tools. It should have almost a SQL agent type of substance built into that."
"Microsoft could improve its documentation and support."
"The pricing is very high."
"Operational cost needs improvement."
"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."
MongoDB Atlas is ranked 3rd in Database as a Service with 44 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.
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.
