Google Cloud SQL vs Oracle Database In-Memory comparison

Google and Oracle are both solutions in the Relational Databases Tools category. 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

100% willing to recommend

Oracle Database In-Memory

Read 33 Oracle Database In-Memory reviews

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888 Comparison Views

100% willing to recommend

Google Cloud SQL

Oracle Database In-Memory

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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 what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools.

To learn more, read our detailed Relational Databases Tools Report (Updated: November 2025).

Buyer's Guide

Relational Databases Tools

November 2025

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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

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

Average Rating

8.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Embedded Database (4th), Relational Databases Tools (9th)

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.

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Quotes from Members

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

Pros

"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."

"The product is scalable."

"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."

"It's SQL. SQL is so easy if you know something about databases. It's easy to learn."

"From a database management perspective, it provides services without the need for me to worry about backups, scaling, or other operational issues."

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

"The deployment model allows for significant control and flexibility."

"The implementation part of the product was easy."

More Google Cloud SQL pros

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

"The application development is very user-friendly."

"It accelerates query processing, which in turn speeds up operations and streamlines workflow, and ultimately enhancing productivity."

"I like Oracle because it is a backward-compatible solution."

"The most valuable aspects of this solution are the fast caching and improved performance to the database"

"The scalability of the solution is very good. It's able to support large amounts of data."

"The most valuable feature is that Database-In-Memory is more consistent and faster than traditional databases as it requires fewer CPUs to process instructions."

"Oracle Database In-Memory is a suite of features that improves performance for real-time analytics and mixed workloads."

More Oracle Database In-Memory pros

Cons

"The only thing that could be better is the pricing."

"The product's user interface could be more user-friendly to improve the overall user experience."

"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."

"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."

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

"In the case of Google, they need to work on a more easy interface for users."

"For data analysis, the AI area of the product has certain shortcomings where improvements are required."

"The overall documentation and the connectors need improvement."

More Google Cloud SQL cons

"The pricing could be improved. It would ideal if it was more reasonable."

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

"They should improve the solution's scalability for large databases."

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

"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."

"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."

"It would be good if Oracle could reduce downtime when transferring from non-In-Memory to In-Memory."

"Oracle Database In-Memory could improve by better supporting generative AI challenges, such as hallucination management."

More Oracle Database In-Memory cons

Pricing and Cost Advice

"From a financial perspective, Google Cloud SQL is on the cheaper side."

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

"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."

"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."

"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 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."

"The solution's pricing is high."

"The platform's licensing cost needs improvement."

"The product is expensive."

More Oracle Database In-Memory pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

13%

Educational Organization

University

Financial Services Firm

19%

Comms Service Provider

Manufacturing Company

Pharma/Biotech 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 do you like most about Google Cloud SQL?

The implementation part of the product was easy.

See all answers

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 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?

I currently don't know how Oracle Database In-Memory has benefited my organization. We recently received this query from our high management to use this In-Memory function, so we are currently in p...

See all answers

Comparisons

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 32% of the time

Amazon RDS vs Google Cloud SQL

Compared 29% of the time

MongoDB Atlas vs Google Cloud SQL

Compared 16% of the time

Oracle Database as a Service vs Google Cloud SQL

Compared 6% 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 14% of the time

DuckDB vs Oracle Database In-Memory

Compared 11% of the time

SQL Server vs Oracle Database In-Memory

Compared 10% of the time

Progress OpenEdge RDBMS vs Oracle Database In-Memory

Compared 6% of the time

Druid vs Oracle Database In-Memory

Compared 6% of the time

More Oracle Database In-Memory Competitors

Product Reports

Buyer's Guide

Google Cloud SQL

December 2025

Download Google Cloud SQL product report

Buyer's Guide

Oracle Database In-Memory

December 2025

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

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November 2025

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