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Google Cloud SQL vs SAP IQ 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) (6th), Database Management Systems (DBMS) (9th)
SAP IQ
Ranking in Relational Databases Tools
23rd
Average Rating
7.8
Reviews Sentiment
6.6
Number of Reviews
22
Ranking in other categories
Data Warehouse (14th)
 

Mindshare comparison

As of May 2026, in the Relational Databases Tools category, the mindshare of Google Cloud SQL is 1.1%, down from 1.7% compared to the previous year. The mindshare of SAP IQ is 2.0%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Relational Databases Tools Mindshare Distribution
ProductMindshare (%)
Google Cloud SQL1.1%
SAP IQ2.0%
Other96.9%
Relational Databases Tools
 

Featured Reviews

Rituraj NSIT - 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.
KK
Tech Director at a computer software company with 1,001-5,000 employees
Works well with existing platform integration but could improve error messaging and technical support
I do not use SAP IQ's machine learning capabilities. I cannot assess the benefit of SAP IQ's distributed query processing for complex queries, as I am a non-technical operator. I am not sure if we use SAP IQ's data compression features. I think the compression we are doing is on the data storage level and not on the database level. I believe we do not use it, but I'm not certain. We do not utilize SAP IQ's support for unstructured data, as we do not have unstructured data. I do not have any strong opinions on SAP IQ's security features such as data encryption. It's not been something that has been much in focus, neither in our choice of the platform, nor in our daily operations. I guess they're satisfactory as they have not been a problem. I am not aware of the pricing and licensing of SAP IQ, as it's part of a bigger agreement, and I'm not the owner of that agreement. My impression is that SAP IQ is a rather expensive tool in terms of value for money. On a scale of 1-10, I rate SAP IQ a 7.

Quotes from Members

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

Pros

"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 implementation part of the product was easy."
"From a database management perspective, it provides services without the need for me to worry about backups, scaling, or other operational issues."
"The main benefit to our organization is the fact that we no longer need DB admins that take care of the physical servers, backups etc... All this is managed by GCP."
"As a cloud product, we're always on the latest version of the solution, it self-updates, and it's easier to maintain so you don't really have to worry about the operation side of it."
"Its most valuable feature is that it's scalable; I can start off with a base of a lot of data and move as much as I want without a lot of infrastructure changes, so I can run a release model experiment on a thousand people and, if that experiment is a success, run it on a million people without any changes while keeping it much more cost-sensitive for me to do it."
"Licensing is not applicable; pricing is reasonable."
"It's SQL. SQL is so easy if you know something about databases. It's easy to learn."
"Unbeatable speed and compression with a colummn-structured relational database."
"It has the best performance in data retrieval compared to other database engines and reduces HW cost, achieving up to 70% less storage; Database is smaller than input data, even with all the indexes."
"Columnar storage allows high compression, high load rates and high query performance."
"It is very robust for ad hoc DW queries and its columnar compression is unique and valuable."
"But I do not think that other products really have an advantage for warehousing over the SAP IQ solution."
"While queries with previous products could run for hours, with SAP IQ, they run in a matter of minutes or seconds."
"IQ is a very high-performance and high-transaction database."
"The feature I appreciate the most about SAP IQ is the compression, which is very good; we cannot compare with any other type of EDW."
 

Cons

"It is hard to do logging with the solution."
"Better integration with other tools could improve this solution."
"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential."
"When discussing media files, such as images and audio files, stored in Google Cloud, concerns about handling large amounts of data arise."
"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."
"We see latency issues, so we were forced to introduce an in-memory store."
"For data analysis, the AI area of the product has certain shortcomings where improvements are required."
"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."
"Very few people are familiar with this technology, as training programs are very expensive."
"Technical support for the product has become almost nonexistent for this product."
"In my interaction with SAP IQ's technical support, the people we are talking to don't know this application very thoroughly."
"The primary negative aspect is the cost, which can be a challenge due to the economic conditions in Peru."
"Customer Service: It has been good, but more can be done in this area."
"A production database server should never crash in response to user input, but Sybase IQ has repeatedly done that for us, over multiple revisions of the product."
"There could be more documentation and training."
"Multiplex is very problematic. There are consistency problems in the metadata, meaning it is possible to lose metadata consistency. You should make sure you have healthy backups."
 

Pricing and Cost Advice

"The pricing is very much an important factor as to why we use this solution."
"You need to pay extra costs for backup and replication."
"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."
"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."
"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."
"Negotiate based on the features required."
"Negotiation is very important."
"The only costs after standard licensing fees are for add-ons and upgrades."
"It's not that costly. So, the pricing is cheap."
"Evaluate all options; check to see if you need expensive add-ons."
"The cost of implementation is about $3,000."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Educational Organization
14%
Computer Software Company
9%
Comms Service Provider
7%
Financial Services Firm
30%
Comms Service Provider
9%
Healthcare Company
8%
Outsourcing 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 Enterprise2
Large Enterprise16
 

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 is your experience regarding pricing and costs for SAP IQ?
IQ implementation costs about three thousand dollars. It's less expensive compared to alternatives like Teradata Base in terms of transactional efficiency.
What needs improvement with SAP IQ?
When it comes to SAP IQ, the areas that could be improved or enhanced include the error messaging and the locking capabilities, as that's where we often encounter problems. When there is an issue, ...
What is your primary use case for SAP IQ?
Our usual use cases for SAP IQ is that we have a Software-as-a-Service architecture where this database is the foundation for our SAP BusinessObjects platform. This is where it's getting its data f...
 

Also Known As

No data available
Sybase IQ
 

Overview

 

Sample Customers

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
ASR Group, Citrix, State of Indiana, PocketCard Co. Ltd.
Find out what your peers are saying about Google Cloud SQL vs. SAP IQ and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.