Google Cloud SQL vs Infobright DB comparison

Google and IgniteTech are both solutions in the Relational Databases Tools category. Google is ranked #18 with an average rating of 7.7, while IgniteTech is ranked #36. Google holds a 1.3% mindshare in SQL, compared to IgniteTech’s 1.4% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 80% of IgniteTech users who would recommend it.

Google Cloud SQL

Read 24 Google Cloud SQL reviews

4,063 Views
1,463 Comparison Views

100% willing to recommend

Infobright DB

Read 10 Infobright DB reviews

2,204 Views
1,146 Comparison Views

80% willing to recommend

Google Cloud SQL

Infobright DB

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Google Cloud SQL and Infobright DB 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. Infobright DB Report (Updated: August 2026).

Buyer's Guide

Google Cloud SQL vs. Infobright DB

August 2026

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Helped 909,725 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

18th

Average Rating

8.2

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (7th), Database Management Systems (DBMS) (10th)

Infobright DB

Ranking in Relational Databases Tools

36th

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Warehouse (19th)

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 Infobright DB is 1.4%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Google Cloud SQL	1.3%
Infobright DB	1.4%
Other	97.3%

Relational Databases Tools

Featured Reviews

RituRaj

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.

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it_user708987

MySQL DBA at a financial services firm with 51-200 employees

Excellent reporting server that is compatible with MySQL

We ran into some quirks that Infobright had. We interacted with Infobright's support and were able to resolve them. There still are issues with data replication - Infobright is currently for one server (unless you buy the Infobright appliance). This would mean that redundancy is something you need to implement yourself.

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

"It runs really well, it's cheap, it's efficient, it's user-friendly."

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

"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 product is scalable."

"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."

"They have good multi-region failure support, and we can just set up there and read replicas directly and we can fall back."

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

"Ease of management and the ability to oversee the statistics of your SQL."

More Google Cloud SQL pros

"It has very amazing smart grid query feature for very fast aggregate queries across millions of rows"

"Infobright gave us the ability to avoid significant changes in our data structure and just use Infobright like BigDataMySql."

"Infobright allowed us to reduce the number of moving parts and complexity that we had while providing good performance to produce our reports."

"The performance of ad hoc aggregation queries is superior to any RDBMS that I have used and I have used them all."

"It is very straightforward and easy to work with."

"The high compression and the relatively fast load for a free product."

"We now have multiple times faster queries in comparison to MS SQL."

"A valuable feature was the use of a columnar database for large, ever-growing, big datasets."

More Infobright DB pros

Cons

"There are a few UI glitches that I have noticed recently, specifically something called data mapping in IPaaS Connector. When I click a button such as open configuration on data map configuration, the UI becomes totally white, no text is visible clearly, and it is very frustrating."

"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."

"When discussing media files, such as images and audio files, stored in Google Cloud, concerns about handling large amounts of data arise."

"The purging of the data could be better."

"Google Cloud SQL still needs better connectivity to outside, existing data sources."

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

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

"The most challenging part is dealing with legacy data from your old systems and migrating it into the new setup, but once you've completed the data migration, it becomes quite convenient to use."

More Google Cloud SQL cons

"On the contrary, we have switched back to the MS SSAS Tabular Model, because of pricing policy."

"MPP, distributed processing!!! And better integration with Hadoop."

"When running a complex subquery, the system hangs without giving the user any response."

"After all the re-work to our product to remove as much reliance on Infobright, and the extra hardware costs we had to absorb, there was definitely a negative return on investment."

"We didn’t purchase the Enterprise Edition because it was too expensive for a product that wasn’t going to replace our main DWH database (Oracle), but was, somehow, only an addition for it."

"There still are issues with data replication - Infobright is currently for one server (unless you buy the Infobright appliance)."

"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."

"There was no scalability at all. Infobright didn't permit any changes in tables."

Pricing and Cost Advice

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

"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."

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

"The solution is affordable."

"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 pricing is very much an important factor as to why we use this solution."

"Our pricing was based on server instances and it was actually very cheap compared to Oracle. I guess you get what you pay for."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Educational Organization

13%

Computer Software Company

Comms Service Provider

Manufacturing Company

18%

Construction Company

16%

Comms Service Provider

11%

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	5
Large Enterprise	10

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	1
Large Enterprise	2

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?

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...

See all answers

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...

See all answers

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Comparisons

Amazon RDS vs Google Cloud SQL

Compared 17% of the time

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 14% of the time

MongoDB Atlas vs Google Cloud SQL

Compared 14% of the time

Amazon Aurora vs Google Cloud SQL

Compared 7% of the time

Google Cloud Spanner vs Google Cloud SQL

Compared 6% of the time

More Google Cloud SQL Competitors

VMware Tanzu Data Solutions vs Infobright DB

Compared 10% of the time

MySQL vs Infobright DB

Compared 8% of the time

OpenText Analytics Database (Vertica) vs Infobright DB

Compared 7% of the time

SQL Server vs Infobright DB

Compared 5% of the time

Amazon RDS on Outposts vs Infobright DB

Compared 5% of the time

More Infobright DB Competitors

Product Reports

Buyer's Guide

Google Cloud SQL

August 2026

Download Google Cloud SQL product report

Buyer's Guide

Infobright DB

August 2026

Download Infobright DB product report

Also Known As

No data available

Infobright

Overview

Google Cloud SQL provides a fully managed database service underscoring ease of use, scalability, and integration with Google Cloud Platform services.

This platform facilitates database operations from automated backups to high availability, supporting databases like Postgres and MySQL. Its intuitive design eases management, while robust features like multi-region support and automatic scaling cater to developers seeking efficient infrastructure management without the burden of extensive backend tasks. Users from industries requiring scalable applications find it especially useful for its seamless integration with development projects and minimal maintenance demands, enabling a focus on innovative application development.

What are the standout features of Google Cloud SQL?

Automated Backups: Ensures data safety by automatically backing up databases.
Read Replicas: Enhances performance and availability with read operations across multiple copies.
Scalability: Provides dynamic scaling to handle workload changes efficiently.
High Availability: Offers reliable uptime with regional failover solutions.
Customization Flexibility: Adapts to specific needs with varied instance configurations.

What benefits should users explore in reviews?

Ease of Management: Simplifies database tasks allowing developers to concentrate on building applications.
Integration: Seamlessly connects with Google Cloud services enhancing operational capabilities.
Global Accessibility: Facilitates access to data from anywhere, supporting international operations.
Cost Efficiency: Reduces costs through its managed services model, reducing infrastructure overhead.

Industries leverage Google Cloud SQL within mobile applications, web frameworks, and marketing analytics. It supports hosting solutions in microservices and private VPC environments extending its use across internal and external infrastructure systems. By simplifying maintenance and migration from on-premises databases, companies achieve reliability and enhance their data management strategies.

Google

Infobright DB is an established column-oriented database management system known for its analytical prowess in storing and managing large volumes of data efficiently.

Designed to handle intense data workloads, Infobright DB supports data warehousing and business intelligence operations. It is favored for its efficient use of storage and processing capabilities, making it an ideal choice for companies analyzing massive datasets. Infobright DB's analytic algorithms and data compression techniques make it suitable for enterprises seeking to process queries rapidly.

What are the essential features of Infobright DB?

Columnar Storage: Optimizes read performance by storing data in columns.
Data Compression: Reduces storage needs with advanced compression techniques.
Query Performance: Enhances speed through automatic query optimization.
Scalability: Handles terabytes of data without compromising performance.
Self-Management: Minimizes administrative tasks with automated maintenance.

What benefits should users consider when evaluating Infobright DB?

Cost Efficiency: Lower storage costs due to high data compression.
Improved Analytics: Faster data insights lead to better decision-making.
Resource Optimization: Requires fewer resources for maintenance and scaling.
Operational Simplicity: Ease of integration with existing systems.

Infobright DB is prevalent in industries like finance and telecommunications, providing robust data analysis and reporting capabilities. Its ability to manage large datasets efficiently makes it suitable for sectors needing real-time analytics and deep data insights.

IgniteTech

Sample Customers

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

REZ-1, SonicWALL, IntegriChain, Fuseforward International Inc., Polystar, Live Rail, Mavenir Systems, JDSU Partners, Bango

Buyer's Guide

Google Cloud SQL vs. Infobright DB

August 2026

Free Report: Google Cloud SQL vs. Infobright DB

Find out what your peers are saying about Google Cloud SQL vs. Infobright DB and other solutions. Updated: August 2026.

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