Google Cloud SQL vs Oracle Database In-Memory comparison

Google and Oracle are both solutions in the Relational Databases Tools category. Google is ranked #19 with an average rating of 7.9, while Oracle is ranked #10 with an average rating of 8.7. Google holds a 1.0% mindshare in SQL, compared to Oracle’s 2.0% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 100% of Oracle users who would recommend it.

Google Cloud SQL

Read 23 Google Cloud SQL reviews

2,280 Views
730 Comparison Views

100% willing to recommend

Oracle Database In-Memory

Read 33 Oracle Database In-Memory reviews

1,735 Views
1,162 Comparison Views

100% willing to recommend

Google Cloud SQL

Oracle Database In-Memory

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Google Cloud SQL and Oracle Database In-Memory based on real PeerSpot user reviews.

Find out in this report how the two Relational Databases Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Google Cloud SQL vs. Oracle Database In-Memory Report (Updated: March 2026).

Buyer's Guide

Google Cloud SQL vs. Oracle Database In-Memory

March 2026

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Helped 885,311 peers since 2012

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

19th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (6th), Database Management Systems (DBMS) (9th)

Oracle Database In-Memory

Ranking in Relational Databases Tools

10th

Average Rating

8.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Embedded Database (4th)

Mindshare comparison

As of March 2026, in the Relational Databases Tools category, the mindshare of Google Cloud SQL is 1.0%, down from 1.6% compared to the previous year. The mindshare of Oracle Database In-Memory is 2.0%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Oracle Database In-Memory	2.0%
Google Cloud SQL	1.0%
Other	97.0%

Relational Databases Tools

Featured Reviews

Prathap Sankar

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…

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Hosney Osman

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.

Read full review

Quotes from Members

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

Pros

"The initial setup is straightforward."

"It supports different databases, like Postgres and MySQL."

"This is a stable solution and offers good performance."

"Google Cloud SQL is easy to start with and allows me to scale as needed, which is advantageous from a developer perspective."

"This is a stable solution and offers good performance."

"Licensing is not applicable; pricing is reasonable."

"The implementation part of the product was easy."

"The setup was straightforward. Just a couple of clicks, and we were done."

More Google Cloud SQL pros

"The solution's most valuable feature is its performance optimization within our hardware environment."

"After we started using the in-memory product, we saw really dramatic figures."

"The application development is very user-friendly."

"We can integrate it with any data sources as well."

"Normally, every database server uses hard disks. In-Memory has a feature, apart from their database, which is very good. When we start our server, all your data needs loading memory. We can use that. It's a very good feature. I think they added this feature in 2019. We can mount memory in the partition, create partitions in there, and create table space from that spot to share. It's a really good feature. We use it a lot."

"The Oracle database is easier to program and manage, and is secure."

"The product offers high scalability."

"We find the dashboard and the speed of data processing very valuable in Oracle Database In-Memory."

More Oracle Database In-Memory pros

Cons

"The most vulnerable problem with Google SQL is that while you can customize your access control list, it provides you with a public IP address."

"It is hard to do logging with the solution."

"Google Cloud SQL needs to improve its support for high-end I/O operations."

"Sometimes the sharing with third parties or configuring that in Google Cloud SQL is not the most intuitive."

"I would like to see better integration with all the different tools on the platform."

"The overall documentation and the connectors need improvement."

"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL."

"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."

More Google Cloud SQL cons

"Oracle should include column store or advanced query optimization so a database can be optimized by enabling analytic queries to run faster."

"Personally, this solution wouldn't be my top choice, as it makes things difficult."

"Lacks sufficient integration with other tools."

"I would like Oracle Database In-Memory to include a data replication feature."

"The high cost of the product is an area of concern where improvements are required."

"Oracle Database In-Memory is more expensive than Azure, and the support from the Oracle team is not very good, especially since they do not have a support team in our region."

"You need to have platinum service to get good support. Otherwise, you'll have to struggle a bit."

"The solution is quite expensive."

More Oracle Database In-Memory cons

Pricing and Cost Advice

"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."

"You need to pay extra costs for backup and replication."

"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."

"It is not expensive, especially considering the significant reduction in database management time."

"I rate the pricing a zero out of ten because Database In-Memory is too costly."

"The product is expensive."

"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."

"Database In-Memory is priced a bit higher than its competitors like Microsoft."

"Oracle Database In-Memory is expensive."

"It's quite costly and it comes with a fixed price."

"The platform's licensing cost needs improvement."

"The solution's pricing is high."

More Oracle Database In-Memory pricing and cost advice

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885,311 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

10%

University

Manufacturing Company

Financial Services Firm

14%

Marketing Services Firm

Comms Service Provider

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	9

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	4
Large Enterprise	23

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.

See all answers

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...

See all answers

What is your primary use case for Google Cloud SQL?

I have been using Google Cloud SQL for two or three years since I started.

See all answers

What do you like most about Oracle Database In-Memory?

We can integrate it with any data sources as well.

See all answers

What is your experience regarding pricing and costs for Oracle Database In-Memory?

The pricing for Oracle Database In-Memory is more affordable.

See all answers

What needs improvement with Oracle Database In-Memory?

See all answers

Comparisons

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 24% of the time

Amazon RDS vs Google Cloud SQL

Compared 23% of the time

MongoDB Atlas vs Google Cloud SQL

Compared 15% of the time

Oracle Database as a Service vs Google Cloud SQL

Compared 5% of the time

Google Cloud Spanner vs Google Cloud SQL

Compared 5% of the time

More Google Cloud SQL Competitors

SAP HANA vs Oracle Database In-Memory

Compared 11% of the time

SQL Server vs Oracle Database In-Memory

Compared 10% of the time

DuckDB vs Oracle Database In-Memory

Compared 7% of the time

Oracle Database vs Oracle Database In-Memory

Compared 6% of the time

Progress OpenEdge RDBMS vs Oracle Database In-Memory

Compared 6% of the time

More Oracle Database In-Memory Competitors

Product Reports

Buyer's Guide

Google Cloud SQL

March 2026

Download Google Cloud SQL product report

Buyer's Guide

Oracle Database In-Memory

March 2026

Download Oracle Database In-Memory product report

Overview

Google Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational PostgreSQL and MySQL databases in the cloud. Google Cloud SQL offers high performance, scalability, and convenience. Hosted on Google Cloud Platform, Cloud SQL provides a database infrastructure for applications running anywhere.

Google

Oracle Database In-Memory transparently accelerates analytics by orders of magnitude while simultaneously speeding up mixed-workload OLTP. With Oracle Database In-Memory, users get immediate answers to business questions that previously took hours.

Oracle Database In-Memory delivers leading-edge in-memory performance without the need to restrict functionality, or accept compromises, complexity and risk. Deploying Oracle Database In-Memory with any existing Oracle Database compatible application is as easy as flipping a switch - no application changes are required. Oracle Database In-Memory is fully integrated with the Oracle Database’s renowned scale-up, scale-out, storage tiering, availability, and security technologies making it the most industrialstrength offering on the market.

The ability to easily perform real-time data analysis together with real-time transaction processing on all existing applications enables organizations to transform into Real-Time Enterprises that quickly make data-driven decisions, respond instantly to customer demands, and continuously optimize all key processes.

For more information on Oracle Database In-Memory, visit Oracle.com

Oracle

Sample Customers

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync

Shanghai Customs

Buyer's Guide

Google Cloud SQL vs. Oracle Database In-Memory

March 2026

Free Report: Google Cloud SQL vs. Oracle Database In-Memory

Find out what your peers are saying about Google Cloud SQL vs. Oracle Database In-Memory and other solutions. Updated: March 2026.

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