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Amazon Athena vs. Google Cloud Datastore

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Athena
Score 7.6 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 Datastore
Score 7.1 out of 10
N/A
Google Cloud Datastore is a NoSQL "schemaless" database as a service, supporting diverse data types. The database is managed; Google manages sharding and replication and prices according to storage and activity.N/A
Pricing
Amazon AthenaGoogle Cloud Datastore
Editions & Modules
Price per Query
$5.00
per TB of Data Scanned
No answers on this topic
Offerings
Pricing Offerings
Amazon AthenaGoogle Cloud Datastore
Free Trial
NoNo
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 Datastore
Features
Amazon AthenaGoogle Cloud Datastore
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Amazon Athena
8.6
4 Ratings
2% above category average
Google Cloud Datastore
-
Ratings
Automatic software patching8.22 Ratings00 Ratings
Database scalability9.03 Ratings00 Ratings
Automated backups7.73 Ratings00 Ratings
Database security provisions9.22 Ratings00 Ratings
Monitoring and metrics8.04 Ratings00 Ratings
Automatic host deployment9.22 Ratings00 Ratings
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Amazon Athena
-
Ratings
Google Cloud Datastore
8.4
3 Ratings
2% below category average
Performance00 Ratings10.03 Ratings
Availability00 Ratings7.03 Ratings
Concurrency00 Ratings9.03 Ratings
Security00 Ratings9.03 Ratings
Scalability00 Ratings10.02 Ratings
Data model flexibility00 Ratings4.03 Ratings
Deployment model flexibility00 Ratings9.92 Ratings
Best Alternatives
Amazon AthenaGoogle Cloud Datastore
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
Amazon AthenaGoogle Cloud Datastore
Likelihood to Recommend
10.0
(4 ratings)
6.0
(3 ratings)
Likelihood to Renew
-
(0 ratings)
10.0
(2 ratings)
Usability
10.0
(1 ratings)
7.0
(1 ratings)
User Testimonials
Amazon AthenaGoogle Cloud Datastore
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.
Scott Kennedy | TrustRadius Reviewer
Scott Kennedy
Sr Director, BI
Read full review
Google
I feel like Google Cloud Datastore is well suited when the data models are simple and the possible filtering and sorting operation are not complex. With more complex filtering, the amount of required indexes increase, and so does the costs.
Verified User
Anonymous
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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
RK
Riyaz Khan
Data Engineer
Read full review
Google
  • It is hosted in GCP, our primary cloud provider.
  • It integrates with all the services we use in GCP.
Verified User
Anonymous
Read full review
Cons
Amazon AWS
  • Response caching can be improved.
  • Data Partitioning is tricky and understanding of the same could be improved.
Alok Pabalkar | TrustRadius Reviewer
Alok Pabalkar
Co-Founder & CTO
Read full review
Google
  • Part of the Google Cloud Platform walled garden.
  • Pay for read/writes to the datastore, in addition to storage.
  • Not many libraries exist.
Verified User
Anonymous
Read full review
Likelihood to Renew
Amazon AWS
No answers on this topic
Google
I give Google Cloud a full score because it satisfies our needs so well. We host most of our infrastructure on Google Cloud and using Google Cloud Datastore helps us to solve our NoSQL storage problem. and Google Cloud Datastore is so scalable and elastic. It saves us lots of time to maintain and saves us money.
Verified User
Anonymous
Read full review
Usability
Amazon AWS
Easy to use. Scalable. Gets the job of data warehousing setup done. Using the datalake on S3 has become super convenient.
Alok Pabalkar | TrustRadius Reviewer
Alok Pabalkar
Co-Founder & CTO
Read full review
Google
The simple implementation, together with the Google Cloud dashboard that allows data inspection, editing and querying, makes Google Cloud Datastore a comprehensive choice when it comes to NoSQL databases.
Verified User
Anonymous
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Alternatives Considered
Amazon AWS
Verified User
Anonymous
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Google
If deploying an application in Google Cloud Platform, using Google Cloud Datastore is a no brainer because of the simplicity of setup. Other options would require more setup and configuration, and do not come with the same level of guaranteed uptime as Google Cloud Datastore. In our case, we've been using Google Cloud Datastore for 4 years without any issues and have never had to think about it.
Verified User
Anonymous
Read full review
Return on Investment
Amazon AWS
  • The query speeds help us make more decisions in a day (speed).
  • If you need more horsepower for specific times in the day this option helps scale.
  • The security of your environment is well protected too.
Scott Kennedy | TrustRadius Reviewer
Scott Kennedy
Sr Director, BI
Read full review
Google
  • It solves our NoSQL database problem.
  • It it highly scalable and available to meets our needs.
Verified User
Anonymous
Read full review
ScreenShots