What users are saying about
51 Ratings
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Score 8.3 out of 100
253 Ratings
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Score 8.5 out of 100

Feature Set Ratings

  • Google Cloud SQL and Azure SQL Database are tied in 1 feature set: Database-as-a-Service

Database-as-a-Service

9.0

Google Cloud SQL

90%
9.0

Azure SQL Database

90%
Google Cloud SQL ranks higher in 3/6 features

Automatic software patching

9.5
95%
13 Ratings
8.8
88%
26 Ratings

Database scalability

9.5
95%
14 Ratings
9.4
94%
28 Ratings

Automated backups

8.7
87%
14 Ratings
9.0
90%
28 Ratings

Database security provisions

9.3
93%
14 Ratings
9.1
91%
28 Ratings

Monitoring and metrics

7.8
78%
13 Ratings
8.6
86%
27 Ratings

Automatic host deployment

8.9
89%
13 Ratings
9.1
91%
23 Ratings

Attribute Ratings

  • Google Cloud SQL is rated higher in 2 areas: Likelihood to Recommend, Likelihood to Renew
  • Azure SQL Database is rated higher in 1 area: Support Rating

Likelihood to Recommend

8.8

Google Cloud SQL

88%
14 Ratings
8.7

Azure SQL Database

87%
28 Ratings

Likelihood to Renew

9.0

Google Cloud SQL

90%
1 Rating
8.0

Azure SQL Database

80%
1 Rating

Support Rating

6.4

Google Cloud SQL

64%
8 Ratings
9.0

Azure SQL Database

90%
10 Ratings

Likelihood to Recommend

Google

[Google Cloud SQL] is a big help for IT administrators to ensure the security of databases and data backups as well as replacing replica databases in failover situations, It is very powerful and fast in managing and migrating databases and it only takes a few minutes to create and connect to your first database using the built-in migration tools.
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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.
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Pros

Google

  • Very easy to use and migrate existing database systems to Google Cloud SQL system
  • Easy to query with real-time query assessment as well as processing metrics to help optimize the queries
  • No need to learn any other querying language (like in Hadoop ecosystem), as SQL works pretty fine
  • Easy-to-use GCP portal to type in queries and see the results on the screen (no need to go on command line )
  • Easy to set up
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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.
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Cons

Google

  • Secure access is complicated to set up - This is the nature of secure access, but it can be frustrating spending much time simply configuring access.
  • No custom IP - It isn't possible to customize an instance's IP. This makes it harder to replace an instance since a new or clone instance always gets a new IP.
  • Cost tends to increase - This is the nature of cloud hosting, but over time costs creep up as utilization increases.
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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).
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Pricing Details

Google Cloud SQL

Starting Price

$0 per core hour

Editions & Modules

Google Cloud SQL editions and modules pricing
EditionModules
Storage - SSD storage capacity$.171
Storage - HDD storage capacity$.092
Storage - for backups$.083
HA Storage - SSD storage capacity$.344
HA Storage - HDD storage capacity$.185
HA Storage - for backups$.086
vCPUs$30.157
Memory$5.118
HA vCPUs$60.309
HA Memory$10.2210
License - Enterprise$0.4711
License - Standard$0.1312
License - Web$0.0113413
License - Express$014

Footnotes

  1. per month per GB
  2. per month per GB
  3. per month per GB
  4. per month per GB
  5. per month per GB
  6. per month per GB
  7. per month per vCPU
  8. per month per GB
  9. per month per vCPU
  10. per month per GB
  11. per core hour
  12. per core hour
  13. per core hour
  14. per core hour

Offerings

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services

Entry-level set up fee?

No setup fee

Additional Details

Azure SQL Database

Starting Price

$0.5,044 Per Hour

Editions & Modules

Azure SQL Database editions and modules pricing
EditionModules
2 vCORE$0.50441
6 vCORE$1.51312
10 vCORE$2.523

Offerings

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services

Entry-level set up fee?

No setup fee

Additional Details

Likelihood to Renew

Google

No answers on this topic

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.
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Support Rating

Google

GCP support in general requires a support agreement. For small organizations like us, this is not affordable or reasonable. It would help if Google had a support mechanism for smaller organizations. It was a steep learning curve for us because this was our first entry into the cloud database world. Better documentation also would have helped.
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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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Alternatives Considered

Google

At first, we choose Google Cloud SQL only for demo purposes. It is so easy to set up and It is fully managed. we have worked with Azure SQL as well but Google SQL is more simple to use and It fully secure, reliable, provides high availability, and very Low Latency.
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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

Google

  • When first migrated to a cloud environment, the Cloud SQL instance had a higher cost than our former MySQL VM instance, but many other infrastructure costs had also been reduced and the total balance of our migration to the cloud was a reduction of 45% of our infrastructure costs.
  • DB performance has increased and maintenance tasks reduced in a high percentage.
  • Disaster recovery plans are easier to follow now than before our cloud migration.
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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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