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Google Cloud SQL vs Microsoft Azure DocumentDB comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

Google Cloud SQL
Ranking in Database as a Service (DBaaS)
6th
Average Rating
8.2
Reviews Sentiment
6.2
Number of Reviews
24
Ranking in other categories
Relational Databases Tools (18th), Database Management Systems (DBMS) (12th)
Microsoft Azure DocumentDB
Ranking in Database as a Service (DBaaS)
13th
Average Rating
8.8
Reviews Sentiment
5.4
Number of Reviews
6
Ranking in other categories
NoSQL Databases (15th)
 

Featured Reviews

RituRaj - PeerSpot reviewer
SDE 2 at Virtusa
Drag and drop workflows have simplified data mapping and currently improve my cloud database work
The IPaaS Connector, which I have found most valuable, is part of Google Cloud SQL. Google Cloud's user interface is really good, which improves efficiency in my database operations. The UI is excellent, making it easier to understand what we are doing. Currently, I am working on IPaaS Connector, so it is really just a clickable interface without writing any code. I simply use drag and drop and connecting lines, and it is working. Google Cloud SQL's global infrastructure improves our database's latency metrics because we are using Gemini in our project. Since both are products of Google, it makes our product faster.
Anish-Anand - PeerSpot reviewer
Performance Test Professional at Happiest Minds
Reporting for global banking stakeholders has become seamless and supports diverse visual formats
All Microsoft applications, whether database or analytics, are a little costlier compared to Google products, and this is a barrier that needs to be crossed so that all its applications become more affordable. For example, startups typically go for free tools. Microsoft should offer these products for free to startups or perhaps free for the first year or two years, so that startups can use these applications, and once they grow bigger and have larger revenue, they can purchase it at a reasonable cost. All Microsoft tools need to cut down on their price and have a better strategy around pricing for the masses. If you sell only to ten customers, your revenue is lesser, but if you give something for free to some customers, two years down the line they will purchase it. Microsoft Azure DocumentDB still needs the ability to connect to other analytics easily without any additional integrator. For example, if I can connect to Google Analytics or other analytics that are not Microsoft tools using this database, that would be a good source of revenue. If I have already purchased Google Analytics in my company and I need a database, and Microsoft Azure DocumentDB can very easily connect or integrate to my Google Analytics, I would not have to think twice. Cross-company application connectivity is something that needs to be worked on.

Quotes from Members

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

Pros

"As a cloud product, we're always on the latest version of the solution, it self-updates, and it's easier to maintain so you don't really have to worry about the operation side of it."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"The product is scalable."
"The solution is easy to use. I am impressed with the tool's features and functionality."
"The main benefit to our organization is the fact that we no longer need DB admins that take care of the physical servers, backups etc... All this is managed by GCP."
"It's all built into the web browser, so any operating system will work."
"Its most valuable feature is that it's scalable; I can start off with a base of a lot of data and move as much as I want without a lot of infrastructure changes, so I can run a release model experiment on a thousand people and, if that experiment is a success, run it on a million people without any changes while keeping it much more cost-sensitive for me to do it."
"Google Cloud SQL is highly scalable."
"The most valuable feature of Microsoft Azure DocumentDB in my daily work is the speed."
"We have immeasurable benefits mainly in reduced operational effort and the time saved on routine database administration."
"Microsoft Azure DocumentDB is never down because of its scalability feature."
"The most beneficial features of Microsoft Azure DocumentDB that I noticed is that it appeared to be straightforward, it was ease of use, it was not complicated compared to some of the other tools that are out there, the teams were familiar with it, and it integrated well with other Microsoft products."
"Microsoft Azure DocumentDB has positively impacted my organization by allowing us to reduce database costs by 30%."
"One of the most appreciated aspects of Microsoft Azure DocumentDB is the elastic scaling feature which has significantly helped manage business growth for two customers who have employed it, experiencing a dramatic rise in improvement."
 

Cons

"The only room for improvement here is that they need to connect to more existing data sources so that it becomes easier for a layman to get a more realistic understanding of what's happening."
"The purging of the data could be better."
"Better integration with other tools could improve this solution."
"The only thing that could be better is the pricing."
"The performance compared to AWS is not as fast, and the technical support could be better as they don't have a dedicated team, but mostly AI handles the support now."
"The monitoring part could be better."
"In the case of Google, they need to work on a more easy interface for users."
"The most vulnerable problem with Google SQL is that while you can customize your access control list, it provides you with a public IP address."
"Microsoft gives you the base functionality which you can grow from, but some tools perhaps go a bit further because that is their only focus or niche."
"It is a bit expensive, especially concerning the elastic scale."
"Microsoft Azure DocumentDB could be improved with more straightforward cost and performance optimization guidance, especially for understanding resource usage and selecting the right configuration for different workloads."
"Maybe in the future, I would like to see relationships between one document set and another document set."
"All Microsoft applications, whether database or analytics, are a little costlier compared to Google products, and this is a barrier that needs to be crossed so that all its applications become more affordable."
 

Pricing and Cost Advice

"You need to pay extra costs for backup and replication."
"From a financial perspective, Google Cloud SQL is on the cheaper side."
"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."
"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."
"It is not expensive, especially considering the significant reduction in database management time."
"The pricing is very much an important factor as to why we use this solution."
"The solution is affordable."
Information not available
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Top Industries

By visitors reading reviews
Educational Organization
13%
Financial Services Firm
13%
Comms Service Provider
10%
Computer Software Company
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise5
Large Enterprise10
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Google Cloud SQL?
We have set up automated patch management for Google Cloud SQL, and it does on a daily basis what needs to be done, so it is pretty good overall for maintaining our database security.
What needs improvement with Google Cloud SQL?
I would to improve a few glitches in Google Cloud SQL that I have recently noticed. There are a few UI glitches that I have noticed recently, specifically something called data mapping in IPaaS Con...
What is your primary use case for Google Cloud SQL?
I am not working with Oracle; everything I am working on is on Google. I would like to improve a few glitches in Google Cloud SQL that I have recently noticed. There are a few UI glitches that I ha...
What needs improvement with Microsoft Azure DocumentDB?
I think perhaps in some aspects the documentation could be better, as well as the integration with Azure Backup to improve Microsoft Azure DocumentDB.
What is your primary use case for Microsoft Azure DocumentDB?
My main use case for Microsoft Azure DocumentDB is when we modernize applications that use MongoDB on-premise and move them to Azure using DocumentDB. By doing this migration to Microsoft Azure Doc...
 

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Sample Customers

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
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Find out what your peers are saying about Google Cloud SQL vs. Microsoft Azure DocumentDB and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.