Compare Google Cloud SQL vs. SQL Azure

Google Cloud SQL is ranked 3rd in Database as a Service with 4 reviews while SQL Azure is ranked 1st in Database as a Service with 10 reviews. Google Cloud SQL is rated 9.0, while SQL Azure is rated 8.6. The top reviewer of Google Cloud SQL writes "Scalable and cost effective solution for data analysis". 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". Google Cloud SQL is most compared with Google Cloud Spanner, SQL Azure and Amazon RDS, whereas SQL Azure is most compared with Amazon RDS, Google Cloud SQL and Oracle Database as a Service. See our Google Cloud SQL vs. SQL Azure report.
Cancel
You must select at least 2 products to compare!
Google Cloud SQL Logo
2,740 views|2,233 comparisons
SQL Azure Logo
2,868 views|2,368 comparisons
Most Helpful Review
Find out what your peers are saying about Google Cloud SQL vs. SQL Azure and other solutions. Updated: January 2020.
389,978 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
Ease of management and the ability to oversee the statistics of your SQL.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 and it's the same as if asked to do a lot of infrastructure changes.The most valuable features are that it's easy to use, simple, and user-friendly.The setup was straightforward. Just a couple of clicks, and we were done.My suggestion to anyone thinking about this solution is to jump into it head-first!

Read more »

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.

Read more »

Cons
Google's technical support is good, but they tend to never reopen a case and to send us snippets from the publicly available documentation. It's not as helpful as you would expect, not just for Google Cloud SQL but for all of Google Cloud products.Google Cloud SQL still needs better connectivity to outside, existing data sources.I would like to see better integration with all the different tools on the platform.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.

Read more »

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.

Read more »

Pricing and Cost Advice
It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL.The pricing is very much an important factor as to why we use this solution.

Read more »

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

Read more »

report
Use our free recommendation engine to learn which Database as a Service solutions are best for your needs.
389,978 professionals have used our research since 2012.
Ranking
3rd
Views
2,740
Comparisons
2,233
Reviews
4
Average Words per Review
571
Avg. Rating
9.0
1st
Views
2,868
Comparisons
2,368
Reviews
10
Average Words per Review
416
Avg. Rating
8.5
Top Comparisons
Compared 26% of the time.
Compared 22% of the time.
Compared 49% of the time.
Compared 26% of the time.
Learn
Google
Microsoft
Overview
Google Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational PostgreSQL and MySQL databases in the cloud. Google Cloud SQL offers high performance, scalability, and convenience. Hosted on Google Cloud Platform, Cloud SQL provides a database infrastructure for applications running anywhere.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 Google Cloud SQL
Learn more about SQL Azure
Sample Customers
BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zyncadnymics GmbH, LG CNS, Centrebet, netfabb GmbH, MedPlast, Accelera Solutions, Sochi Organizing Committee, realzeit GmbH
Find out what your peers are saying about Google Cloud SQL vs. SQL Azure and other solutions. Updated: January 2020.
389,978 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.