Amazon Athena vs. Google Cloud SQL

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Athena
Score 8.4 out of 10
N/A
Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon S3 using standard SQL. With a few clicks in the AWS Management Console, customers can point Athena at their data stored in S3 and begin using standard SQL to run ad-hoc queries and get results in seconds. Athena is serverless, so there is no infrastructure to setup or manage, and customers pay only for the queries they run. You can use Athena to process logs, perform ad-hoc analysis, and run…
$5
per TB of Data Scanned
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
Amazon AthenaGoogle Cloud SQL
Editions & Modules
Price per Query
$5.00
per TB of Data Scanned
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
Amazon AthenaGoogle Cloud SQL
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon AthenaGoogle Cloud SQL
Top Pros
Top Cons
Features
Amazon AthenaGoogle Cloud SQL
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Amazon Athena
8.5
3 Ratings
3% below category average
Google Cloud SQL
9.1
19 Ratings
4% above category average
Automatic software patching8.12 Ratings9.612 Ratings
Database scalability8.12 Ratings9.019 Ratings
Automated backups7.73 Ratings9.519 Ratings
Database security provisions9.12 Ratings9.219 Ratings
Monitoring and metrics8.73 Ratings8.518 Ratings
Automatic host deployment9.12 Ratings9.012 Ratings
Best Alternatives
Amazon AthenaGoogle Cloud SQL
Small Businesses
SingleStore
SingleStore
Score 9.7 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
Medium-sized Companies
SingleStore
SingleStore
Score 9.7 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
Enterprises
SingleStore
SingleStore
Score 9.7 out of 10
SingleStore
SingleStore
Score 9.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon AthenaGoogle Cloud SQL
Likelihood to Recommend
9.4
(3 ratings)
9.2
(19 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(1 ratings)
Usability
-
(0 ratings)
9.0
(1 ratings)
Support Rating
-
(0 ratings)
6.4
(4 ratings)
Ease of integration
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
Amazon AthenaGoogle Cloud SQL
Likelihood to Recommend
Amazon AWS
If you are looking to take a lot of the traditional "database administration" work off someone's plate, going with Amazon Athena certainly has "no code" options to optimize lots of database tasks. I would say this option is less appropriate if you have other Microsoft things at play, such as Power BI.
Read full review
Google
Although Google Cloud SQL has room for improvement by addressing a minor lack of features, its features and services keep it high among other SQL database products. It is very fast compared to others. Since it is cloud-based, maintenance is also easier. Integration capabilities are also more than expected.
Read full review
Pros
Amazon AWS
  • Nested Schemas like JSON data structure
  • Ability to adapt the data model to fit your queries better
  • Performance Improvement
Read full review
Google
  • Highly scalable without worrying about sudden transaction explosion during peak hours.
  • Highly available with multiple geographical locations and regions for nearly 0 downtime to the users.
  • Extremely reliable and responsive for high latency applications due to superb networking at the core.
Read full review
Cons
Amazon AWS
  • Query manager can incoperate GUI based query designer
  • Auto-completion engine sometimes overwrite the query
  • Time range selection should be implicit
Read full review
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.
Read full review
Usability
Amazon AWS
No answers on this topic
Google
Google Cloud SQL is similar to the long existing conventional DBs like Oracle RDBMS, MS SQL Server in terms of usability and much more robust and easy to manage than them. Most of the commands are almost identical to these DB platforms and thus, easy to learn, understand and start using. Also, being highly available, it brings a sense of reliability with Google Cloud SQL.
Read full review
Support Rating
Amazon AWS
No answers on this topic
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.
Read full review
Alternatives Considered
Amazon AWS
Amazon Athena, a product from Amazon, competes with offerings from Google and Microsoft. Overall, I think your database choice depends on some of the other applications you are running at your company. For example, if you are using Microsoft Power BI for reporting needs, you might want to consider going the Azure route.
Read full review
Google
Google SQL was great as a first SQL provision. It quickly enabled the apps to be built and scaled as needed for a while. It was robust and adaptable as needed and easy to export as needed when ready, depending on growth. Cost-wise, it's a good choice and requires little investment to get going.
Read full review
Return on Investment
Amazon AWS
  • Easy to query terabytes of data with faster response
  • Pricing model is also cheap
  • No indexing and partitioning
Read full review
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
Read full review
ScreenShots