Compare MongoDB Atlas vs. SQL Azure

MongoDB Atlas is ranked 5th in Database as a Service with 8 reviews while SQL Azure is ranked 1st in Database as a Service with 10 reviews. MongoDB Atlas is rated 8.2, while SQL Azure is rated 8.6. The top reviewer of MongoDB Atlas writes "You can start quickly on projects which allow you to store many things". On the other hand, the top reviewer of SQL Azure writes "When we have a problem with a query we can trade information about what indexes we should create on tables". MongoDB Atlas is most compared with Amazon RDS and IBM Cloudant, whereas SQL Azure is most compared with Amazon RDS, Google Cloud SQL and Oracle Database as a Service. See our MongoDB Atlas vs. SQL Azure report.
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MongoDB Atlas Logo
297 views|43 comparisons
SQL Azure Logo
2,818 views|2,327 comparisons
Most Helpful Review
Find out what your peers are saying about MongoDB Atlas vs. SQL Azure and other solutions. Updated: September 2019.
371,917 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
Scalability is its most valuable feature, as it is pretty simple.It has a flexible integration with our easy API.It is nice because our developers create tables whenever they need to sync data.Its most valuable features are high availability and zero maintenance.You can start quickly on projects which allow you to store many things.It enables us to get work done quickly and get to our data.As a tester, it was easy to validate data, access data, make active run queries against it, and retrieve data from it.Our databases used to be in-house. Now, they are in the cloud with MongoDB and everything is much easier.

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This solution provides more comfort to the end-user compared to a normal SQL server.They have good documentation. It's concentrated information.The stability is good.The initial setup was straightforward. It took less than one day for deployment.This solution offers high availability, and business continuity is in place.In terms of stability, because Microsoft is the underlying technology, they are much more stable than say Oracle. Since 2014 they did a great job in offering stability, performance and high visibility on the solution, especially in comparison to the other competitors.The stability is good and the performance is fantastic. Even when we try to do an inquiry into issues we can do it easily.The initial setup is very easy. It's extremely straightforward.

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Cons
The cost needs improvement.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.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 cost needs improvement. The product is good, but the cost that we paid for it is expensive, so it wasn't that valuable.I would like a more comprehensive dashboard.Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side.The import and export process needs improvement, i.e., getting in and out. Moving data from other databases into MongoDB, along with indexing, was challenging.The UI application for MongoDB crashes a lot, so we would have to use a third-party plugin to make it work.

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The management is entirely controlled by Microsoft, so there are some restrictions.Their support is nice but their responses aren't effective.The initial setup was very complex.The solution could be less expensive. They need to work on their pricing model.This solution would be improved with the inclusion of better self-service tools.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.The initial setup is complex.I need Microsoft to allow their network to access open source technologies.

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Pricing and Cost Advice
Pricing could always be better.The pricing is good. We originally chose it over DynamoDB because of the pricing.It is too expensive. They need to work on this.In my previous company, the product allowed use to build a database in a highly regulated environment with the ability to get distributed storage. We used MongoDB as a distributed storage to set up this environment for a critical business application with millions of dollars.The purchasing process through the AWS Marketplace was very good.The pricing and licensing is great.

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We pay less than $1000 monthly in licensing fees. There are no additional costs.The licensing for this solution is based on subscription.I'm not sure what the exact price is, but it's a moderate amount. It's not too expensive.We have a three-year contract. The cost was somewhere around $70-80,000 for the original deployment, which was about two years ago

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371,917 professionals have used our research since 2012.
Ranking
5th
Views
297
Comparisons
43
Reviews
8
Average Words per Review
329
Avg. Rating
8.1
1st
Views
2,818
Comparisons
2,327
Reviews
10
Average Words per Review
419
Avg. Rating
8.5
Top Comparisons
Compared 55% of the time.
Compared 45% of the time.
Compared 54% of the time.
Compared 21% of the time.
Also Known As
Atlas
Learn
MongoDB
Microsoft
Overview

MongoDB Atlas delivers the world’s leading database for modern applications as a fully automated cloud service engineered and run by the same team that builds the database. Proven operational and security practices are built in, automating time-consuming administration tasks such as infrastructure provisioning, database setup, ensuring availability, global distribution, backups, and more. The easy-to-use UI and API let you spend more time building your applications and less time managing your database.

Microsoft Azure SQL Database is a relational database-as-a-service that delivers predictable performance, scalability, business continuity, data protection, and near-zero administration to cloud developers and solution architects. This is the deep technical library for Azure SQL Database.
Offer
Learn more about MongoDB Atlas
Learn more about SQL Azure
Sample Customers
eHarmony, Sega, KPMG, Telefonica, Checkr, 7-Elevenadnymics GmbH, LG CNS, Centrebet, netfabb GmbH, MedPlast, Accelera Solutions, Sochi Organizing Committee, realzeit GmbH
Find out what your peers are saying about MongoDB Atlas vs. SQL Azure and other solutions. Updated: September 2019.
371,917 professionals have used our research since 2012.
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.
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