Amazon Athena vs. Google Cloud SQL

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Athena
Score 8.0 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 8.2 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
8.4
3 Ratings
2% below category average
Google Cloud SQL
9.0
13 Ratings
5% above category average
Automatic software patching8.02 Ratings9.612 Ratings
Database scalability8.02 Ratings9.613 Ratings
Automated backups7.73 Ratings8.813 Ratings
Database security provisions9.02 Ratings9.313 Ratings
Monitoring and metrics8.73 Ratings7.912 Ratings
Automatic host deployment9.02 Ratings9.012 Ratings
Best Alternatives
Amazon AthenaGoogle Cloud SQL
Small Businesses
IBM Cloudant
IBM Cloudant
Score 9.4 out of 10
IBM Cloudant
IBM Cloudant
Score 9.4 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 9.4 out of 10
IBM Cloudant
IBM Cloudant
Score 9.4 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 9.4 out of 10
IBM Cloudant
IBM Cloudant
Score 9.4 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon AthenaGoogle Cloud SQL
Likelihood to Recommend
9.3
(3 ratings)
8.8
(13 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(1 ratings)
Support Rating
-
(0 ratings)
6.4
(8 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.
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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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Pros
Amazon AWS
  • Nested Schemas like JSON data structure
  • Ability to adapt the data model to fit your queries better
  • Performance Improvement
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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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Cons
Amazon AWS
  • Query manager can incoperate GUI based query designer
  • Auto-completion engine sometimes overwrite the query
  • Time range selection should be implicit
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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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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.
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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.
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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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Return on Investment
Amazon AWS
  • Easy to query terabytes of data with faster response
  • Pricing model is also cheap
  • No indexing and partitioning
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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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ScreenShots