Google Cloud SQL vs. Oracle MySQL Cloud Service

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud SQL
Score 9.0 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
Oracle MySQL Cloud Service
Score 7.1 out of 10
N/A
Oracle MySQL Cloud Service is an enterprise-grade database-as-a-service (including automated database management) offering of MySQL.N/A
Pricing
Google Cloud SQLOracle MySQL Cloud Service
Editions & Modules
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
No answers on this topic
Offerings
Pricing Offerings
Google Cloud SQLOracle MySQL Cloud Service
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsPricing 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
Google Cloud SQLOracle MySQL Cloud Service
Features
Google Cloud SQLOracle MySQL Cloud Service
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Google Cloud SQL
9.2
24 Ratings
6% above category average
Oracle MySQL Cloud Service
8.7
1 Ratings
0% above category average
Automatic software patching9.612 Ratings8.01 Ratings
Database scalability9.424 Ratings8.01 Ratings
Automated backups9.724 Ratings9.01 Ratings
Database security provisions9.524 Ratings10.01 Ratings
Monitoring and metrics8.323 Ratings9.01 Ratings
Automatic host deployment9.012 Ratings8.01 Ratings
Best Alternatives
Google Cloud SQLOracle MySQL Cloud Service
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google Cloud SQLOracle MySQL Cloud Service
Likelihood to Recommend
9.5
(24 ratings)
8.0
(1 ratings)
Likelihood to Renew
9.0
(1 ratings)
-
(0 ratings)
Usability
8.2
(6 ratings)
-
(0 ratings)
Support Rating
6.4
(4 ratings)
-
(0 ratings)
Ease of integration
6.9
(6 ratings)
-
(0 ratings)
User Testimonials
Google Cloud SQLOracle MySQL Cloud Service
Likelihood to Recommend
Google
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.
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Oracle
It is very scalable and it gives us backup for everything. Because of this feature, we (as a developer) can do any R&D if required. It is very stable so we can get any type of help. It has a recovery feature also which we used recently for my project. It is very easy to recover.
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Pros
Google
  • It has a easily and user understandable interface which provides it every necessary feature to come up with.
  • It's backend is very strong that can help us to run big quieres without any hesitation.
  • It's integration with other tools are one of the powerful feature which makes it more suitable to use.
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Oracle
  • Oracle database has ability to store large scale of data.
  • It can support any kind of scenario with any label of system.
  • Encryption and security is the key features of Oracle database 12c.
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Cons
Google
  • Increasing support for more database engines may enable a wider range of application needs to be met.
  • Implementing and updating cutting-edge security features on a constant basis.
  • Streamlining and enhancing the tools for transferring data to Google Cloud SQL from on-premises databases or other cloud providers.
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Oracle
  • It has some issues [when] performing local unit testing in personal edition.
  • It is costly if we will go for cloud.
  • Need license for some features.
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Likelihood to Renew
Google
It fits the current needs and bandwith of out lean organization.
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Oracle
No answers on this topic
Usability
Google
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.
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Oracle
No answers on this topic
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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Oracle
No answers on this topic
Alternatives Considered
Google
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.
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Oracle
It has the most stable database. It smoothly supports [a] huge [amount of] data. Security-wise it is best among them. It is a very large community and has well-defined documentation, which can support [during the] implementation of the Oracle database. We can easily scale up servers whenever [we] change our requirements. Oracle12c is best for large-scale projects like banking and retails.
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Return on Investment
Google
  • With managed database system, it has given us near 100% data availability
  • It has also improved web layer experience with faster processing and authentication using database fields
  • Google Cloud SQL also gels up well with Google Analytics and other analytics systems for us to join up different data points and process them for deeper dives and analysis
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Oracle
  • It has ability to handle [a] huge [amount of] data and give [the] best performance
  • Easy to write PL/SQA queries
  • Secure and encryption option
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ScreenShots

Google Cloud SQL Screenshots

Screenshot of migrating to a fully managed database solution - Self-managing a database, such as MySQL, PostgreSQL, or SQL Server, can be inefficient and expensive, with significant effort around patching, hardware maintenance, backups, and tuning. Migrating to a fully managed solution can be done using a Database Migration Service with minimal downtime.Screenshot of data-driven application development - Cloud SQL accelerates application development via integration with the larger ecosystem of Google Cloud services, Google partners, and the open source community.