TrustRadius

Google Cloud Datastore vs. Google Cloud SQL

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud Datastore
Score 8.6 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 8.8 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 Details—Pricing 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
Verified User
Anonymous
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 …
Verified User
Anonymous
Chose Google Cloud Datastore
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. …
Google Cloud SQL
Verified User
Anonymous
Chose Google Cloud SQL
Google Cloud SQL ended up being less expensive, have a greater support team and offer a much better interface
Verified User
Anonymous
Chose Google Cloud SQL
I 100% prefer Google Cloud SQL over Amazon Aurora in terms of ease of use and clarity in terms of understanding how the autoscaling is going to work. Connecting to the database directly is also much more straightforward.
Priyanshu Rastogi | TrustRadius Reviewer
Priyanshu Rastogi
Senior Backend developer
Chose Google Cloud SQL
Setting up or migrating Google Cloud SQL is easy as compared to AWS. It has a good monitoring and logging mechanism and a good user interface which makes it easy to navigate.It also has a pay as you go pricing which makes it easier to reduce cost. Google Cloud SQL offers …
Verified User
Anonymous
Chose Google Cloud SQL
Actually Google Cloud SQL is similar to them, the difference is which engine each supports e.g. there's no managed Oracle DB in Google Cloud SQL but as long as you don't need Oracle, Google Cloud SQL should suffice and give you great user experience and performance. You also …
Verified User
Anonymous
Chose Google Cloud SQL
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 …
Verified User
Anonymous
Chose Google Cloud SQL
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 …
SS
Shireen Shahab
Web Developer
Chose Google Cloud SQL
When comparing cost, Google Cloud SQL typically offers a more straightforward and versatile plan than Azure SQL Database. Cloud SQL for PostgreSQL is a serverless solution provided by Google Cloud SQL that automatically modifies resources according to workload. For customers …
Alok Pabalkar | TrustRadius Reviewer
Alok Pabalkar
Co-Founder & CTO
Chose Google Cloud SQL
- AWS RDS and Aurora is a just a notch above Google Cloud SQL as it provide boost in performance when required
- Google Cloud SQL Mysql Engine is Cloud based and better than native Mysql as it provides management of the server out of box
- Compared to a MongoDB it has a low …
Verified User
Anonymous
Chose Google Cloud SQL
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.
Niloofar Keshvari Nia | TrustRadius Reviewer
Niloofar Keshvari Nia
IT Operations and Support Specialist
Chose Google Cloud SQL
Easier learning, simple features and settings with a very user-friendly application environment and flexible prices make Google Cloud [SQL] a pioneering option over competitors
Verified User
Anonymous
Chose Google Cloud SQL
Google Cloud SQL is just as good as the other guys. We were already invested in GCP, which made the choice very easy. We did not want to start fresh in AWS or Azure. We used our existing GCP setup and just added Cloud SQL. It's unfortunate that companies continue to send people …
Verified User
Anonymous
Chose Google Cloud SQL
There are many options for cloud-hosted dedicated SQL instances. In many ways, simply moving from software and server-based database to a dedicated cloud database is just generally good. All hosts provide some sort of scaling and backup, and all separate the server management …
Cameron Gable | TrustRadius Reviewer
Cameron Gable
Software Engineer
Chose Google Cloud SQL
We use the MySQL managed database that Cloud SQL offers, and it has all of the functionality of on-prem MySQL, plus it is managed.
Leonel Quinteros | TrustRadius Reviewer
Leonel Quinteros
Director of Technology
Chose Google Cloud SQL
Google Cloud SQL is very similar to other cloud provider options. AWS and DigitalOcean are direct competitors, While Azure is focusing on their own products. At cloud provider level, it's a matter of choosing the provider, and this product will not play a significant role on …
Verified User
Anonymous
Chose Google Cloud SQL
The Google Cloud SQL offering fits into our development stack and was a clean replacement for our MySQL database. If we had been using SQL Server instead, then the offering from Azure would have made more sense. I have used both in the past and both work well, with GCP being …
Tyler Longren | TrustRadius Reviewer
Tyler Longren
IT Consultant
Chose Google Cloud SQL
It's dramatically faster than running MySQL on a VM, which is what we did before. Whatever Google has done to optimize Google Cloud SQL compared to standalone MySQL installations has worked.
Verified User
Anonymous
Chose Google Cloud SQL
DigitalOcean managed database is relatively less costly compared to Google Cloud SQL database.

Google Cloud SQL service is well integrated with other Google Cloud Platform services such as IAM which enables fine grain access to team members.
Verified User
Anonymous
Chose Google Cloud SQL
Simple to implement as SaaS.
Verified User
Anonymous
Chose Google Cloud SQL
I've used supabase and can say that Google Cloud SQL is a lot more hands off. They just run an instance for you and don't do much more than that. Which is exactly what we wanted. If you want something that is truly fully managed and abstracted then I guess that would be a …
Verified User
Anonymous
Chose Google Cloud SQL
Kind of similar features provided against RDS. Used this because of transactional db
Verified User
Anonymous
Chose Google Cloud SQL
Google's solution for database is, at least for our team, easier to implement and maintain than Amazon's offer.
Features
Google Cloud DatastoreGoogle Cloud SQL
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Google Cloud Datastore
10.0
Ratings
12% above category average
Google Cloud SQL
-
Ratings
Performance10.00 Ratings00 Ratings
Availability10.00 Ratings00 Ratings
Concurrency10.00 Ratings00 Ratings
Security10.00 Ratings00 Ratings
Scalability10.00 Ratings00 Ratings
Data model flexibility10.00 Ratings00 Ratings
Deployment model flexibility9.90 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
9.3
Ratings
7% above category average
Automatic software patching00 Ratings9.60 Ratings
Database scalability00 Ratings9.50 Ratings
Automated backups00 Ratings9.70 Ratings
Database security provisions00 Ratings9.50 Ratings
Monitoring and metrics00 Ratings8.20 Ratings
Automatic host deployment00 Ratings9.00 Ratings
Best Alternatives
Google Cloud DatastoreGoogle Cloud SQL
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 DatastoreGoogle Cloud SQL
Likelihood to Recommend
9.9
(0 ratings)
9.5
(0 ratings)
Likelihood to Renew
10.0
(0 ratings)
9.0
(0 ratings)
Usability
-
(0 ratings)
8.0
(0 ratings)
Support Rating
-
(0 ratings)
6.4
(0 ratings)
Ease of integration
-
(0 ratings)
6.5
(0 ratings)
User Testimonials
Google Cloud DatastoreGoogle Cloud SQL
Likelihood to Recommend
Using Google Cloud Datastore in conjunction with Google AppEngine was a very seamless integration and much easier than using other datastores since so much of the configuration is abstracted for you. Because of this, creating simple applications is very easy and getting Google Cloud Datastore to power the backend ties everything together. If we were using Google Compute Engine, I'd imagine the same seamless experience would be there as well.
Verified User
Anonymous
Read full review
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.
Verified User
Anonymous
Read full review
Pros
  • 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
  • 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
Ashok Kalra | TrustRadius Reviewer
Ashok Kalra
Head - Analytics and Database
Read full review
Cons
  • 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
  • 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.
SS
Shireen Shahab
Web Developer
Read full review
Likelihood to Renew
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
It fits the current needs and bandwith of out lean organization.
ISIDRO MORAN | TrustRadius Reviewer
ISIDRO MORAN
Director, Engineering
Read full review
Usability
No answers on this topic
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.
Verified User
Anonymous
Read full review
Support Rating
No answers on this topic
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.
Verified User
Anonymous
Read full review
Alternatives Considered
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.
Verified User
Anonymous
Read full review
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.
Verified User
Anonymous
Read full review
Return on Investment
  • Simple billing part of Google Cloud Platform
  • No time spent configuring and maintaining Google Cloud Datastore.
  • Very good uptime for our applications.
Verified User
Anonymous
Read full review
  • The first one is it's performance is very good and it comes up with different solution.
  • Security can be improved for external resources or the schemas which are selected in it.
  • It can be more fragile so one can use it in the business purposes and this will make it a great product.
Satyam Pandey | TrustRadius Reviewer
Satyam Pandey
Associate software developer
Read full review
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.