MongoDB vs. Azure SQL Database

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
MongoDB
Score 8.0 out of 10
N/A
MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.
$0.10
million reads
Azure SQL Database
Score 8.1 out of 10
N/A
Azure SQL Database is Microsoft's relational database as a service (DBaaS).
$0.50
Per Hour
Pricing
MongoDBAzure SQL Database
Editions & Modules
Shared
$0
per month
Serverless
$0.10million reads
million reads
Dedicated
$57
per month
2 vCORE
$0.5044
Per Hour
6 vCORE
$1.5131
Per Hour
10 vCORE
$2.52
Per Hour
Offerings
Pricing Offerings
MongoDBAzure SQL Database
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsFully managed, global cloud database on AWS, Azure, and GCP
More Pricing Information
Community Pulse
MongoDBAzure SQL Database
Considered Both Products
MongoDB
Chose MongoDB
The flexible structure underlying MongoDB's construction is not found in other competitors; the ability to easily change the structure without affecting other stored documents. It is very ideal for projects that you cannot predict that the structure will change this way. Of …
Chose MongoDB
Also, using DocumentDB, and both are good, each was chosen based on the developer's expertise. So take advantage of in-house skills.
Chose MongoDB
MongoDB is our go-to database solution for any project, and the more we work with it the more we love it. Some say that NoSQL is pointless... Our developers wholeheartedly disagree, because they love working with it. Though both NoSQL and SQL have their purposes, in most …
Azure SQL Database
Chose Azure SQL Database
It reduces the business cost as it provides large storage capacity with massive speed. Data security is primary benefit which this product gives me.
Top Pros
Top Cons
Features
MongoDBAzure SQL Database
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
MongoDB
9.1
38 Ratings
4% above category average
Azure SQL Database
-
Ratings
Performance9.038 Ratings00 Ratings
Availability9.738 Ratings00 Ratings
Concurrency8.638 Ratings00 Ratings
Security8.638 Ratings00 Ratings
Scalability9.438 Ratings00 Ratings
Data model flexibility9.138 Ratings00 Ratings
Deployment model flexibility9.137 Ratings00 Ratings
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
MongoDB
-
Ratings
Azure SQL Database
9.2
27 Ratings
5% above category average
Automatic software patching00 Ratings8.125 Ratings
Database scalability00 Ratings10.027 Ratings
Automated backups00 Ratings9.927 Ratings
Database security provisions00 Ratings9.027 Ratings
Monitoring and metrics00 Ratings9.026 Ratings
Automatic host deployment00 Ratings9.022 Ratings
Best Alternatives
MongoDBAzure SQL Database
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.4 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
MongoDBAzure SQL Database
Likelihood to Recommend
9.4
(78 ratings)
9.1
(27 ratings)
Likelihood to Renew
10.0
(67 ratings)
8.0
(1 ratings)
Usability
9.0
(14 ratings)
-
(0 ratings)
Availability
9.0
(1 ratings)
-
(0 ratings)
Support Rating
9.6
(13 ratings)
9.0
(5 ratings)
Implementation Rating
8.4
(2 ratings)
-
(0 ratings)
User Testimonials
MongoDBAzure SQL Database
Likelihood to Recommend
MongoDB
If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.
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Microsoft
Your upcoming app can be built faster on a fully managed SQL database and can be moved into Azure with a few to no application code changes. Flexible and responsive server less computing and Hyperscale storage can cope with your changing requirements and one of the main benefits is the reduction in costs, which is noticeable.
Read full review
Pros
MongoDB
  • Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
  • You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
  • Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.
Read full review
Microsoft
  • Maintenance is always an issue, so using a cloud solution saves a lot of trouble.
  • On premise solutions always suffer from fragmented implementations here and there, where several "dba's" keep track of security and maintenance. With a cloud database it's much easier to keep a central overview.
  • Security options in SQL database are next level... data masking, hiding sensitive data where always neglected on premise, whereas you'll get this automatically in the cloud.
Read full review
Cons
MongoDB
  • An aggregate pipeline can be a bit overwhelming as a newcomer.
  • There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
  • Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.
Read full review
Microsoft
  • One needs to be aware that some T-SQL features are simply not available.
  • The programmatic access to server, trace flags, hardware from within Azure SQL Database is taken away (for a good reason).
  • No SQL Agent so your jobs need to be orchestrated differently.
  • The maximum concurrent logins maybe an unexpected problem.
  • Sudden disconnects.
  • The developers and admin must study the capacity and tier usage limits https://docs.microsoft.com/en-us/azure/azure-subscription-service-limits otherwise some errors or even transaction aborts never seen before can occur.
  • Only one Latin Collation choice.
  • There is no way to debug T-SQL ( a big drawback in my point of view).
Read full review
Likelihood to Renew
MongoDB
I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.
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Microsoft
This is best solution as a DBA one could expect from a service provider and as a cloud service, it removes all your hassles.
Read full review
Usability
MongoDB
NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.
Read full review
Microsoft
No answers on this topic
Support Rating
MongoDB
Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.
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Microsoft
We give the support a high rating simply because every time we've had issues or questions, representatives were in contact with us quickly. Without fail, our issues/questions were handled in a timely matter. That kind of response is integral when client data integrity and availability is in question. There is also a wealth of documentation for resolving issues on your own.
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Implementation Rating
MongoDB
While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.
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Microsoft
No answers on this topic
Alternatives Considered
MongoDB
We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.
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Microsoft
We moved away from Oracle and NoSQL because we had been so reliant on them for the last 25 years, the pricing was too much and we were looking for a way to cut the cord. Snowflake is just too up in the air, feels like it is soon to be just another line item to add to your Azure subscription. Azure was just priced right, easy to migrate to and plenty of resources to hire to support/maintain it. Very easy to learn, too.
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Return on Investment
MongoDB
  • Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
  • You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB
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Microsoft
  • Perfect for small and medium databases, being very cost effective.
  • As a Platform as a Service, there is no concern about patches, upgrades and end of life.
  • Be aware of security and network capabilities. The service cannot run in the VNET as Azure Virtual Machines do.
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ScreenShots

MongoDB Screenshots

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