Available on Microsoft's Azure, Azure Database is a managed cloud-based option for a variety of popular community and open source databases. Azure Database for PostgreSQL - Fully managed, intelligent, and scalable PostgreSQL Azure Database for MySQL - Scalable, open-source MySQL database Azure Database for MariaDB - Enterprise-ready, fully managed community MariaDB Azure's fully managed PostgreSQL database automates maintenance, patching, and updates.…
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Google Cloud SQL
Score 8.7 out of 10
N/A
Google Cloud SQL is a database-as-a-service (DBaaS) with the capability and functionality of MySQL.
$0
per core hour
Pricing
Azure Database
Google Cloud SQL
Editions & Modules
No answers on this topic
License - Express
$0
per core hour
License - Web
$0.01134
per core hour
Storage - for backups
$.08
per month per GB
HA Storage - for backups
$.08
per month per GB
Storage - HDD storage capacity
$.09
per month per GB
License - Standard
$0.13
per core hour
Storage - SSD storage capacity
$.17
per month per GB
HA Storage - HDD storage capacity
$.18
per month per GB
HA Storage - SSD storage capacity
$.34
per month per GB
License - Enterprise
$0.47
per core hour
Memory
$5.11
per month per GB
HA Memory
$10.22
per month per GB
vCPUs
$30.15
per month per vCPU
HA vCPUs
$60.30
per month per vCPU
Offerings
Pricing Offerings
Azure Database
Google Cloud SQL
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
Pricing varies with editions, engine, and settings, including how much storage, memory, and CPU you provision. Cloud SQL offers per-second billing.
More Pricing Information
Community Pulse
Azure Database
Google Cloud SQL
Considered Both Products
Azure Database
No answer on this topic
Google Cloud SQL
Verified User
Team Lead
Chose Google Cloud SQL
Our use case was mainly within the Google Cloud ecosystem, so this service was of high value where all of our sub-infra for a project was right there in one place. We no longer had to maintain separate dashboard for monitoring just because our compute and database were on …
Azure Databases is suitable in situations where users require a cloud space, which holds or takes secure data and makes accessibility easy. More so, Azure Databases supports data migration, which is a professional process of data transfer. The analytical progress from Azure Databases is connected to AI power and has automated reporting.
Does what it promises well, for instance, as a sidecar for the main enterprise data warehouse. However, I would not recommend using it as the main data warehouse, particularly due to the heavy business logic, as other dedicated tools are more suitable for ensuring scalable operations in terms of change management and multi-developer adjustments.
As with other cloud tools, users must learn a new terminology to navigate the various tools and configurations, and understand Google Cloud's configuration structure to perform even the most basic operations. So the learning curve is quite steep, but after a few months, it gets easier to maintain.
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.
Azure Databases has the data migrating power, which is done with just a press of a button and instant results are attained. Azure Databases has the optimization of performance, which includes an AI, which is intelligent based. Azure Databases has the recent or advanced SQL power, which is easily configurable and allows a safe cloud storage.
Unlike other products, Google Cloud SQL has very flexible features that allow it to be selected for a free trial account so that the product can be analyzed and tested before purchasing it. Integration capabilities with most of the web services tools are easier regarding Google Cloud SQL with its nature and support.
Improved integration with Google Cloud, we have set up some automations with Google Workspace, and we have noticed that the raw data sharing between them is very fast as compared to using some other managed database, not sure why.
Due to some downtime during maintenance, we had to set up a relatively small service which ingested the data while this went down and dumped it when it came back up. So this was a negative impact on our ROI, since now we had to remedy this downtime against the same profit margins
It was cheaper than the legacy aws service since we needed large database instances