Google Cloud Datastore vs. Google Cloud SQL

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud Datastore
Score 8.3 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
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
Google Cloud DatastoreGoogle 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
Google Cloud DatastoreGoogle Cloud SQL
Free Trial
NoYes
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 DatastoreGoogle Cloud SQL
Considered Both Products
Google Cloud Datastore
Chose Google Cloud Datastore
We selected Google Cloud Datastore as one of our candidates for our NoSQL data is because it is provided by Google Cloud, which fits our needs. Most of our infrastructure is on Google Cloud, so when we think about the NoSQL database, the first thing we thought about is Google …
Google Cloud SQL

No answer on this topic

Top Pros
Top Cons
Features
Google Cloud DatastoreGoogle Cloud SQL
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Google Cloud Datastore
10.0
2 Ratings
13% above category average
Google Cloud SQL
-
Ratings
Performance10.02 Ratings00 Ratings
Availability10.02 Ratings00 Ratings
Concurrency10.02 Ratings00 Ratings
Security10.02 Ratings00 Ratings
Scalability10.02 Ratings00 Ratings
Data model flexibility10.02 Ratings00 Ratings
Deployment model flexibility9.92 Ratings00 Ratings
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Google Cloud Datastore
-
Ratings
Google Cloud SQL
9.1
21 Ratings
4% above category average
Automatic software patching00 Ratings9.612 Ratings
Database scalability00 Ratings9.021 Ratings
Automated backups00 Ratings9.521 Ratings
Database security provisions00 Ratings9.021 Ratings
Monitoring and metrics00 Ratings8.520 Ratings
Automatic host deployment00 Ratings9.012 Ratings
Best Alternatives
Google Cloud DatastoreGoogle Cloud SQL
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google Cloud DatastoreGoogle Cloud SQL
Likelihood to Recommend
9.9
(2 ratings)
9.2
(21 ratings)
Likelihood to Renew
10.0
(2 ratings)
9.0
(1 ratings)
Usability
-
(0 ratings)
8.2
(3 ratings)
Support Rating
-
(0 ratings)
6.4
(4 ratings)
Ease of integration
-
(0 ratings)
8.8
(3 ratings)
User Testimonials
Google Cloud DatastoreGoogle Cloud SQL
Likelihood to Recommend
Google
If you want a serverless NoSQL database, no matter it is for personal use, or for company use, Google Cloud Datastore should be on top of your list, especially if you are using Google Cloud as your primary cloud platform. It integrates with all services in the Google Cloud platform.
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
Google
  • Automatically handles shards and replication.
  • Schema-less & NoSQL.
  • Fully managed.
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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
Read full review
Cons
Google
  • It is hosted on GCP, which makes it harder if your company have multi-cloud strategy.
  • When you want to migrate to other cloud providers, there can be a caveat.
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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
Likelihood to Renew
Google
For the amount of use we're getting from Google Cloud Datastore, switching to any other platform would have more cost with little gain. Not having to manage and maintain Google Cloud Datastore for over 4 years has allowed our teams to work on other things. The price is so low that almost any other option for our needs would be far more expensive in time and money.
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Google
No answers on this topic
Usability
Google
No answers on this topic
Google
Basically on personal experience. Google Cloud SQL is an excellent database for a large number of varied use cases. Often the only necessary change is a single line change in a config file and setup some accesses. It is fast enough almost all the time and a breeze to set up. Lack of stored procedures and in TDE encryption is the only reason which it not a 10/10
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Support Rating
Google
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
Google
We selected Google Cloud Datastore as one of our candidates for our NoSQL data is because it is provided by Google Cloud, which fits our needs. Most of our infrastructure is on Google Cloud, so when we think about the NoSQL database, the first thing we thought about is Google Cloud Datastore. And it proves itself.
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.
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Return on Investment
Google
  • Simple billing part of Google Cloud Platform
  • No time spent configuring and maintaining Google Cloud Datastore.
  • Very good uptime for our applications.
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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

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.