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Amazon Redshift 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 Redshift
Ranking in Database Management Systems (DBMS)
9th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
72
Ranking in other categories
Data Warehouse (5th), Cloud Data Warehouse (8th)
Google Cloud SQL
Ranking in Database Management Systems (DBMS)
6th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
23
Ranking in other categories
Database as a Service (DBaaS) (6th), Relational Databases Tools (19th)
 

Mindshare comparison

As of January 2026, in the Database Management Systems (DBMS) category, the mindshare of Amazon Redshift is 4.4%, up from 3.3% compared to the previous year. The mindshare of Google Cloud SQL is 2.0%, up from 1.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database Management Systems (DBMS) Market Share Distribution
ProductMarket Share (%)
Google Cloud SQL2.0%
Amazon Redshift4.4%
Other93.6%
Database Management Systems (DBMS)
 

Featured Reviews

PJ
Data Analytics, Ai & Automation Lead at a venture capital & private equity firm with 10,001+ employees
Performance optimization and scaling adaptations enable efficient data management
Amazon Redshift does not work alone and requires integration with other AWS tools like S3 and Glue for a complete ecosystem. They should bring the entire ETL data management process into Amazon Redshift. Either they should move Amazon Redshift under Glue, or Glue should be brought under Amazon Redshift. The initial setup could also be improved, particularly in terms of sizing, as it requires trial and error to get right.
VD
Database Engineer at Springer Nature
Migration to cloud eases management but needs better support for high I/O operations
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. There is also difficulty in changing the time zone after the database is set up. Moreover, some features available in MSSQL on-prem are missing on Google Cloud SQL, affecting migration potential.

Quotes from Members

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

Pros

"The feature that we find most useful is the ability to do analytics on the fly."
"The initial setup is easy."
"Redshift's Excel features are handy. Redshift spectrum allows you to directly query the data on an Excel sheet. Now, SQL Server also allows this, but Redshift has many more features."
"The most valuable feature of Amazon Redshift is its ability to handle really large sets of data."
"Redshift is a major service of Amazon and is very scalable. It enables faster recalculations and data management, helping to retrieve data quickly."
"The valuable features are performance, data compression, and scalability."
"Redshift allows you to transform different data formats and consolidate them into one Redshift cluster. This means you can transform various siloed data sources like Excel files and CSV files into Redshift."
"The solution is scalable. It handles different loads very well."
"The most valuable feature for us is the Postgres on Google Cloud SQL since it supports most of the features we need."
"I found its storage and security to be the most valuable. It was a good experience. It is also very stable and scalable, and its support is perfect."
"The implementation part of the product was easy."
"The deployment model allows for significant control and flexibility."
"My suggestion to anyone thinking about this solution is to jump into it head-first!"
"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."
"Ease of management and the ability to oversee the statistics of your SQL."
"The initial setup is straightforward."
 

Cons

"It lacks a few features which can be very useful, such as stored procedures"
"What would make Amazon Redshift better is improvising on the pricing structure. For example, Acronis provides backups in cybersecurity, yet the pricing is a bit lesser than Amazon Redshift."
"The initial deployment was complex."
"The speed of the solution and its portability needs improvement."
"The only minor issue I faced was that it took a bit longer than expected to change the cluster to have more space or storage."
"The product could be improved by making it more flexible."
"It takes a lot of time to ingest and update the data."
"There is some missing functionality and sometimes it's so difficult to work in. We need to convert these functionalities using VACUUM inside Amazon Redshift and then it causes some complexity."
"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."
"The only thing that could be better is the pricing."
"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 Cloud SQL needs to improve its support for high-end I/O operations."
"I would like to see better availability of the product in different regions. It should also improve the security with encryption."
"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."
"It is hard to do logging with the solution."
"They could improve documentation and dashboard stability for efficient user experience and database management."
 

Pricing and Cost Advice

"The solution has very competitive pricing."
"On a scale of one to ten, where one is a low price and ten is a high price, I rate the pricing a seven."
"It's pay per use. You can have multiple models."
"Pricing for Amazon Redshift is reasonable, though it could be somewhat higher than other solutions, such as Azure. Still, when you base your comparison on the services offered and the pricing, it's the most reasonable versus its competitors, such as RDS."
"If you want a fixed price, an to not worry about every query, but you need to manage your nodes personally, use Redshift."
"The cost will depend on how you set up your warehouse and what kind of data you store."
"This solution implements the pay-as-you-use model, so no license. Pricing could be cheaper."
"The part that I like best is that you only pay for what you are using."
"From a financial perspective, Google Cloud SQL is on the cheaper side."
"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."
"You need to pay extra costs for backup and replication."
"The solution is affordable."
"The pricing is very much an important factor as to why we use this solution."
"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."
"It is not expensive, especially considering the significant reduction in database management time."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
11%
Manufacturing Company
10%
Media Company
6%
Financial Services Firm
15%
Computer Software Company
11%
Educational Organization
9%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise21
Large Enterprise28
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise9
 

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?
Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...
What do you like most about Amazon Redshift?
The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good.
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

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
Find out what your peers are saying about Amazon Redshift vs. Google Cloud SQL and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.