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Google Cloud SQL vs Oracle Database In-Memory comparison

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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) (6th), Database Management Systems (DBMS) (12th)
Oracle Database In-Memory
Ranking in Relational Databases Tools
17th
Average Rating
8.8
Reviews Sentiment
7.1
Number of Reviews
33
Ranking in other categories
Embedded Database (2nd)
 

Mindshare comparison

As of October 2026, in the Relational Databases Tools category, the mindshare of Google Cloud SQL is 1.3%, down from 1.3% compared to the previous year. The mindshare of Oracle Database In-Memory is 2.3%, 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-Memory2.3%
Google Cloud SQL1.3%
Other96.4%
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

"They have good multi-region failure support, and we can just set up there and read replicas directly and we can fall back."
"Google Cloud's user interface is really good, which improves efficiency in my database operations."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."
"The initial setup is straightforward."
"The deployment model allows for significant control and flexibility."
"Licensing is not applicable; pricing is reasonable."
"The product is scalable."
"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."
"Oracle is the best database, but I love open-source software."
"It accelerates query processing, which in turn speeds up operations and streamlines workflow, and ultimately enhancing productivity."
"The application development is very user-friendly."
"The solution's most valuable feature is its performance optimization within our hardware environment."
"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."
"We have recently deployed our database on cloud with Oracle Database In-Memory; we have a single standby on cloud, and on contingency occasions, we switch over to cloud and use it for four to five months."
"Database In-Memory, to me, is the most compelling reason to go to Oracle 12c, release 1."
 

Cons

"The performance compared to AWS is not as fast, and the technical support could be better as they don't have a dedicated team, but mostly AI handles the support now."
"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."
"The monitoring part could be better."
"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."
"They could improve documentation and dashboard stability for efficient user experience and database management."
"I would like to see better integration with all the different tools on the platform."
"The only thing that could be better is the pricing."
"For write operations – yes, as there is no MySQL clustering mode."
"They should lower the price. My customers think that it's too expensive."
"The dashboard requires some refreshment or configuration improvements."
"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."
"Especially, if you have large data, then it's not very efficient."
"I do not see any return on investment or any cost reductions after implementing it."
"The solution should move to the new way of writing software code with AI that is intelligent and learns."
"The high cost of the product is an area of concern where improvements are required."
"The product could be more economical."
 

Pricing and Cost Advice

"The pricing is very much an important factor as to why we use this solution."
"The solution is affordable."
"From a financial perspective, Google Cloud SQL is on the cheaper side."
"You need to pay extra costs for backup and replication."
"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."
"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."
"Database In-Memory is priced a bit higher than its competitors like Microsoft."
"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."
"Oracle Database In-Memory is expensive."
"The product is expensive."
"The solution's pricing is high."
"The pricing is pretty good so I rate it an eight out of ten."
"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."
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Top Industries

By visitors reading reviews
Educational Organization
13%
Financial Services Firm
13%
Comms Service Provider
10%
Computer Software Company
8%
Financial Services Firm
12%
Comms Service Provider
11%
Outsourcing Company
9%
Construction Company
6%
 

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: September 2026.
915,341 professionals have used our research since 2012.