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."Our databases used to be in-house. Now, they are in the cloud with MongoDB and everything is much easier."
"The dynamic structures are the most valuable."
"The key feature of MongoDB Atlas that has been helpful for us is the ease of deploying new databases."
"There are many valuable features, but scalability stands out. It can scale across zones. You can define multiple nodes. They have also partnered with AWS, offering great service with multiple features, including built-in backup, all under the same roof, without the need for external tools."
"It enables us to get work done quickly and get to our data."
"What I found most valuable in MongoDB Atlas is its Elasticsearch feature. It also has high availability, so it's stable."
"The product is user-friendly."
"Its most valuable features are high availability and zero maintenance."
"It's the type of product that doesn't need much technical support assistance as it works seamlessly."
"What is really helpful about the Azure SQL is that when we have a problem with our sound queries, we can trade information about what indexes we should create on tables. It's really helpful for me and also for developers."
"The best thing about the solution is that it is tightly integrated with Azure Functions and Azure App Service, making it easy to deploy to the cloud."
"We like the ease of integrating it with our on-premises environment. We use a hybrid model. We have a SQL Server on-premises, and we have an integration with the cloud version. We do CPU or disk intensive processes on-premises. For accessibility, we offload onto the cloud. When you do a lot of IO and things like that in the cloud, Microsoft charges for the CPU activity."
"The solution has become easier to use over time and it's also reasonably priced."
"The automated scalability feature of SQL Azure has proven to be highly beneficial, particularly when deployed in the cloud."
"The solution is quite straightforward to set up."
"We primarily and generally use it only for DB purposes. When it comes to the Azure part, we can easily provision, scale up, and scale down the generator machine. This kind of flexibility is the USP of SQL Azure. Its interface and ease of use are also valuable. It is very easy to use and integrate with multiple databases. If I need to pull in or import some data from my on-premises database, the ease with which you can connect and pull the data, not only from SQL Server but also from other flavors of MySQL or even Oracle, is very good."
"They could explore ways to facilitate deploying MongoDB containers within the platform."
"The initial configuration fine-tuning for performance can be time-consuming."
"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."
"It would be better if there were more integration capabilities with other products."
"I would like a more comprehensive dashboard."
"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."
"I am still new with it, but since I mentioned that I'm using this product for only the last six months and my experience with this product is good thus far, on a scale of one to ten, I would give MongoDB Atlas a six."
"Querying a dataset is not very intuitive, so I think that it can be improved."
"I need something which is in one place so I can automate the Azure data factory, but it's a different tool. It's not easy and in one place, so I can't switch to the other tool and do something there, automate everything there in the on-prem infrastructure, and then have everything in the agent. I can just pick one packet and use it. However, I want to be able to click it and run it."
"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 needs to improve its customer network, including its online support."
"The price is a little higher."
"The solution could improve by allowing the export of the data more seamlessly. It is difficult to copy and back up data."
"SQL Azure's performance monitoring features need to be improved. It has a pricing calculator, but it would be great if we could get a rough estimate of the pricing based on fewer parameters, like the data size and the scale of the company."
"It should have better profiling capabilities."
"The preset configuration switches we can select on SQL Azure should be made more liberal to work on."
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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