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Google Cloud SQL vs Oracle Database In-Memory 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

Google Cloud SQL
Ranking in Relational Databases Tools
18th
Average Rating
8.2
Reviews Sentiment
6.2
Number of Reviews
24
Ranking in other categories
Database as a Service (DBaaS) (7th), Database Management Systems (DBMS) (10th)
Oracle Database In-Memory
Ranking in Relational Databases Tools
11th
Average Rating
8.8
Reviews Sentiment
7.1
Number of Reviews
33
Ranking in other categories
Embedded Database (2nd)
 

Mindshare comparison

As of August 2026, in the Relational Databases Tools category, the mindshare of Google Cloud SQL is 1.3%, down from 1.4% compared to the previous year. The mindshare of Oracle Database In-Memory is 2.2%, up from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Relational Databases Tools Mindshare Distribution
ProductMindshare (%)
Oracle Database In-Memory2.2%
Google Cloud SQL1.3%
Other96.5%
Relational Databases Tools
 

Featured Reviews

RituRaj - PeerSpot reviewer
SDE 2 at Virtusa
Drag and drop workflows have simplified data mapping and currently improve my cloud database work
The IPaaS Connector, which I have found most valuable, is part of Google Cloud SQL. Google Cloud's user interface is really good, which improves efficiency in my database operations. The UI is excellent, making it easier to understand what we are doing. Currently, I am working on IPaaS Connector, so it is really just a clickable interface without writing any code. I simply use drag and drop and connecting lines, and it is working. Google Cloud SQL's global infrastructure improves our database's latency metrics because we are using Gemini in our project. Since both are products of Google, it makes our product faster.
Hosney Osman - PeerSpot reviewer
Technical Solution Architect at Vodafone
Real-time analytics have transformed response times and support huge data volumes with compression
I do not have any comment related to the improvement of the solution; for sure, it needs improvement, but for my use cases, it is very sufficient, and I think for the biggest companies, it needs a very powerful infrastructure. The area where improvement is required the most in the product is the UI. The problem with the UI is that it is not complex for understanding, but it needs some training to know what each button does, how it works, and the many variables needed.

Quotes from Members

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

Pros

"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform."
"The speed is very good, it's useful in terms of the simplicity of doing backups, you can have redundant databases for reports or posts, it's SQL which is easy to learn if you know something about databases, I like the cloud aspect, the pricing of the solution seems reasonable, and the solution is stable."
"The deployment model allows for significant control and flexibility."
"Google Cloud SQL is easy to start with and allows me to scale as needed, which is advantageous from a developer perspective."
"Google Cloud SQL is very easy to use and easy to set up; it brings the benefits of being simple to perform queries, store data that I needed to store, and extract data when I needed to extract it quite quickly, without having to set up a full database and queries around it."
"Google Cloud's user interface is really good, which improves efficiency in my database operations."
"The setup was straightforward. Just a couple of clicks, and we were done."
"They have good multi-region failure support, and we can just set up there and read replicas directly and we can fall back."
"We can integrate it with any data sources as well."
"Performance is probably the number one feature, because when we use it for OLTP, the response for the end-user is pretty fast, with website response times in micro milliseconds instead of waiting a few seconds for a page to load."
"The benefits of data compression in Oracle Database In-Memory are great because we are using data, and it saves a lot regarding sizing."
"I've been an Oracle customer with different companies, and one of the key things that stands out for Oracle is the support, because I also work with other database vendors and that's the biggest differentiator."
"The Oracle database is easier to program and manage, and is secure."
"The product offers high scalability."
"Oracle Database In-Memory is a suite of features that improves performance for real-time analytics and mixed workloads."
"The solution is very fast."
 

Cons

"The monitoring part could be better."
"The only room for improvement here is that they need to connect to more existing data sources so that it becomes easier for a layman to get a more realistic understanding of what's happening."
"For data analysis, the AI area of the product has certain shortcomings where improvements are required."
"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."
"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."
"There are a few UI glitches that I have noticed recently, specifically something called data mapping in IPaaS Connector. When I click a button such as open configuration on data map configuration, the UI becomes totally white, no text is visible clearly, and it is very frustrating."
"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."
"I am yet to explore a lot of features that are present in this solution. However, it would be good if more documentation is available for this solution. This would help us in preparing for the certification exam and understand it better. Currently, we don't have much documentation. We do the labs for 20 or 25 minutes, but we can't capture and download anything."
"We use some partitions in In-Memory. We have a very large table and a low dose. It is very expensive in data to load all of them into In-Memory. It takes up more memory slots in the server, as well as a lot of RAM. We use last partitions on the table. We always need to create a script and make a schedule that can load a last partition in In-Memory. Oracle doesn't have features to do this automatically. I would like them to allow us to load last partitions, as well as other table partitions, in In-Memory. I think a good feature would do that automatically, letting you see a table, load a large partition, and monitor loading memory. It's quite a good feature."
"Multitenant, to be honest, is a little adolescent at this point."
"Especially, if you have large data, then it's not very efficient."
"We often have to find solutions on our own through the support site, so there's room for improvement in this regard."
""It depends". If you get a good support engineer, it is a dream. But, most times, it is not, unfortunately."
"Technical support is useful with the My Oracle Support website. But when I have to open a service request, I have to find a solution on my own because technical support usually doesn't understand my problem or they always ask for the same logs, same questions, and I ultimately waste my time."
"They should lower the price. My customers think that it's too expensive."
"The solution is very expensive."
 

Pricing and Cost Advice

"The pricing is very much an important factor as to why we use this solution."
"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."
"The solution is affordable."
"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."
"You need to pay extra costs for backup and replication."
"It is not expensive, especially considering the significant reduction in database management time."
"The platform's licensing cost needs improvement."
"Oracle Database In-Memory is expensive."
"I rate the pricing a zero out of ten because Database In-Memory is too costly."
"It's quite costly and it comes with a fixed price."
"The pricing is pretty good so I rate it an eight out of ten."
"There is a need to make a yearly payment towards the licensing costs, after which there is any to pay towards the support cost attached to the solution."
"The solution's pricing is high."
"Database In-Memory is priced a bit higher than its competitors like Microsoft."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Educational Organization
13%
Computer Software Company
9%
Comms Service Provider
9%
Financial Services Firm
13%
Comms Service Provider
9%
Construction Company
7%
Outsourcing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise5
Large Enterprise10
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise4
Large Enterprise23
 

Questions from the Community

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?
I would to improve a few glitches in Google Cloud SQL that I have recently noticed. There are a few UI glitches that I have noticed recently, specifically something called data mapping in IPaaS Con...
What is your primary use case for Google Cloud SQL?
I am not working with Oracle; everything I am working on is on Google. I would like to improve a few glitches in Google Cloud SQL that I have recently noticed. There are a few UI glitches that I ha...
What needs improvement with Oracle Database In-Memory?
I do not have any comment related to the improvement of the solution; for sure, it needs improvement, but for my use cases, it is very sufficient, and I think for the biggest companies, it needs a ...
What is your primary use case for Oracle Database In-Memory?
The major use case for Oracle Database In-Memory is real-time applications that need a fast response between the application and the database directly without any latency.
 

Overview

 

Sample Customers

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
Shanghai Customs
Find out what your peers are saying about Google Cloud SQL vs. Oracle Database In-Memory and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.