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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) (7th), Database Management Systems (DBMS) (10th)
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 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 SAP IQ is 2.2%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Relational Databases Tools Mindshare Distribution
ProductMindshare (%)
Google Cloud SQL1.3%
SAP IQ2.2%
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.
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."
"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."
"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."
"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."
"It's SQL. SQL is so easy if you know something about databases. It's easy to learn."
"The initial setup is straightforward."
"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."
"The implementation part of the product was easy."
"Sybase IQ is a column based database, used for business intelligence, data warehousing, and data marts."
"The column-based technologies (basically all the database for ITP) are used for SAP IQ. It is used as a column-based solution."
"Unbeatable speed and compression with a colummn-structured relational database."
"But I do not think that other products really have an advantage for warehousing over the SAP IQ solution."
"In the organizations I have worked with, SAP Sybase IQ has been used successfully as a datawarehouse solution and as data store for ad hoc querying, and it delivers performance and enormous scalability."
"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."
"Save for a 100% guarantee, you will get the performance you are looking for with SAP IQ."
"The primary benefit of SAP IQ is its ability to limit the expansion of the costly SAP HANA database, which has limited storage capacity. This necessitates a form of data management that involves moving data from SAP HANA to SAP NLS, which is essentially archiving. This allows us to retain access to the data via a link whenever it is required."
 

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."
"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."
"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."
"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."
"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 product's user interface could be more user-friendly to improve the overall user experience."
"The purging of the data could be better."
"It is hard to do logging with the solution."
"There could be more documentation and training."
"The organization who owns the product does not support it well and appears not to be doing significant development for the future."
"I think the universe should be part of the Sybase IQ tool set."
"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."
"Concurrency and functional error messaging."
"Customer Service: It has been good, but more can be done in this area."
"There is very little documentation available."
"The primary negative aspect is the cost, which can be a challenge due to the economic conditions in Peru."
 

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."
"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."
"It is not expensive, especially considering the significant reduction in database management time."
"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."
"The only costs after standard licensing fees are for add-ons and upgrades."
"Negotiate based on the features required."
"It's not that costly. So, the pricing is cheap."
"Evaluate all options; check to see if you need expensive add-ons."
"Negotiation is very important."
"The cost of implementation is about $3,000."
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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
26%
Comms Service Provider
9%
Outsourcing Company
8%
Healthcare 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 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: August 2026.
909,725 professionals have used our research since 2012.