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Amazon Aurora Serverless vs Google Cloud SQL comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Amazon Aurora Serverless
Average Rating
9.0
Reviews Sentiment
8.8
Number of Reviews
3
Ranking in other categories
Relational Databases Tools (22nd)
Google Cloud SQL
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
23
Ranking in other categories
Database as a Service (DBaaS) (6th), Database Management Systems (DBMS) (9th)
 

Featured Reviews

MohitGupta3 - PeerSpot reviewer
Cloud Infrastructure Architect - AWS at Infopro Digital
Seamless growth management through serverless efficiency and reasonable pricing
The most valuable feature of Amazon Aurora Serverless is its serverless nature, which means I do not have to maintain the underlying infrastructure. Additionally, it is highly scalable, and its pricing model is favorable. Aurora's automatic scaling greatly enhances our operational efficiency by eliminating the need to set specific thresholds and preventing client data access issues due to uneven growth. Its serverless setup allows us to manage costs effectively. Other notable features include direct integration with tools like SFTP Go for media file uploads, automatic backups ensuring data recovery, and its scalability in terms of handling growing database demands.
Prathap Sankar - PeerSpot reviewer
Analytics Delivery Manager at Tredence Inc.
Gain control and flexibility with customizable tools but has slower performance
I am majorly working in Google Cloud SQL for building my applications Google Cloud SQL provides complete customization options, along with a dashboarding tool and a comprehensive suite of tools that can be used to customize and build any application needed. The deployment model allows for…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Amazon Aurora Serverless is easy to scale, offering a cluster-based shared scaling model with options for Autoscale."
"The most valuable feature of Amazon Aurora Serverless is its serverless nature, which means I do not have to maintain the underlying infrastructure."
"Aurora could improve its affordability, even though its price is very completive compared to DBs as SLQ Server."
"It directly provides robust data safety. It also offers various other storage options, such as Google Cloud Storage. These services ensure data security and redundancy. Furthermore, it includes different storage classes, allowing flexible data management tailored to specific needs."
"The product is scalable."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform."
"From a database management perspective, it provides services without the need for me to worry about backups, scaling, or other operational issues."
"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."
"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."
"The deployment model allows for significant control and flexibility."
 

Cons

"Aurora could improve its affordability, as it is currently considered a bit expensive."
"Amazon Aurora Serverless could benefit from a few more security features, particularly in terms of its accessibility."
"Amazon Aurora could improve its detailed monitoring, especially in CloudWatch, to provide more precise query level insights."
"Sometimes the sharing with third parties or configuring that in Google Cloud SQL is not the most intuitive."
"They could improve documentation and dashboard stability for efficient user experience and database management."
"It is hard to do logging with the solution."
"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential. This is what we would like to have in a future release."
"Google Cloud SQL needs to improve its support for high-end I/O operations. On-prem systems with high I/O capabilities perform better, as Google Cloud SQL takes more time to handle the same tasks."
"Google's technical support is good, but they tend to never reopen a case and to send us snippets from the publicly available documentation. It's not as helpful as you would expect, not just for Google Cloud SQL but for all of Google Cloud products."
"The overall documentation and the connectors need improvement."
"The most challenging part is dealing with legacy data from your old systems and migrating it into the new setup, but once you've completed the data migration, it becomes quite convenient to use."
 

Pricing and Cost Advice

Information not available
"The pricing is very much an important factor as to why we use this solution."
"You need to pay extra costs for backup and replication."
"From a financial perspective, Google Cloud SQL is on the cheaper side."
"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."
"The solution is affordable."
"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."
"It is not expensive, especially considering the significant reduction in database management time."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Computer Software Company
13%
Educational Organization
8%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise9
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon Aurora Serverless?
In my experience, Aurora is a bit expensive. The costs depend on the size of the database.
What needs improvement with Amazon Aurora Serverless?
Aurora could improve its affordability, as it is currently considered a bit expensive. There is room to make it more cost-effective for users even though its price is very completive compared to DB...
What is your primary use case for Amazon Aurora Serverless?
I use Aurora mainly for creating and maintaining databases, such as Aurora (MySQL version) databases, within the system. I value it for its network security and quicker recovery options.
What do you like most about Google Cloud SQL?
The implementation part of the product was easy.
What is your experience regarding pricing and costs for Google Cloud SQL?
We have set up automated patch management for Google Cloud SQL, and it does on a daily basis what needs to be done, so it is pretty good overall for maintaining our database security.
What needs improvement with Google Cloud SQL?
Sometimes the sharing with third parties or configuring that in Google Cloud SQL is not the most intuitive. From a user perspective, if Google Cloud SQL integrated AI directly into the query so tha...
 

Overview

 

Sample Customers

Information Not Available
BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
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