Google Cloud SQL vs Teradata comparison

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Google Cloud SQL

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Executive Summary

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

Google Cloud SQL vs. Teradata

August 2026

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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

Ranking in Relational Databases Tools

18th

Ranking in Database Management Systems (DBMS)

10th

Average Rating

8.2

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (7th)

Teradata

Ranking in Relational Databases Tools

7th

Ranking in Database Management Systems (DBMS)

5th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (5th), Backup and Recovery (11th), Data Integration (15th), Data Warehouse (2nd), BI (Business Intelligence) Tools (8th), Marketing Management (4th), Cloud Data Warehouse (2nd)

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 Teradata is 3.9%, down from 4.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Teradata	3.9%
Google Cloud SQL	1.3%
Other	94.8%

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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David Durand Velásquez

Engineers at a consultancy with 11-50 employees

Delivers consistent performance and enables advanced analytics across complex data environments

Teradata stands out as a solid platform for managing and analyzing large volumes of data. Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments. One of its most notable strengths is the ability to run complex queries at high speed, which is essential for organizations that require timely and reliable analytics. Teradata offers a well-integrated ecosystem that supports working with different types of data and enables scalability as organizational needs grow. Its focus on advanced analytics, integration with modern business intelligence tools, and the ability to operate both on-premise and in the cloud make it a versatile solution for data warehousing and large-scale processing. Teradata's stability, technological maturity, and the availability of strong documentation and best practices are noteworthy. I consider Teradata to be a tool with great potential for any organization looking to enhance its analytical capabilities, optimize data processing, and move toward more data-driven decision-making. Teradata stands out as a solid platform for managing a large volume of data in different projects. Its architecture allows information to be processed efficiently while maintaining stable performance, even in high-demanding environments. A well-integrated AI ecosystem that supports working with different types of data and enables scalability as organizational needs grow across different kinds of enterprises or organizations. The focus on advanced analytics integration with modern business intelligence tools is particularly valuable. Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time. It supports multi-cloud, hybrid, and on-premise environments, giving organizations flexibility to choose the setup that best aligns with their strategy. One of the biggest strengths is the ability to unify disparate data sources and support high concurrency, enabling different teams, such as analytics, operations, BI, and data science, to access consistent, trusted data across the enterprise.

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

"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."

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

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

"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."

"It's all built into the web browser, so any operating system will work."

"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."

"My suggestion to anyone thinking about this solution is to jump into it head-first!"

"Licensing is not applicable; pricing is reasonable."

More Google Cloud SQL pros

"Our business processes are much more efficient with Teradata's speed."

"The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems."

"I like this solution's ease of design and the fact that its performance is quite good. It is stable as well."

"IntelliFlex is the Rolls Royce of data warehousing."

"It's the same as your visual database. I like the fast load feature for data, the BTQ solution is very good, and storage procedures are very fast."

"Parallel processing features have helped to easily dump any size of data and retrieve data with great performance."

"We are into DWBI (Data Warehousing and Business Intelligence) and Teradata is number one in the market for these solutions."

"There are several features of Teradata that I like. One of the most basic is the indexes. I also like that it provides lower TCO. It also has the optimizer feature which is a good feature and isn't found in other legacy systems. Parallelism is also another feature I like in Teradata because when you are running or hosting on multiple systems, you have this shared-nothing architecture that helps. Loading and unloading in Teradata are also really helpful compared to other systems."

More Teradata pros

Cons

"The purging of the data could be better."

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

"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."

"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."

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

"Better integration with other tools could improve this solution."

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

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

More Google Cloud SQL cons

"The scalability of Teradata is extremely poor, unfortunately."

"I think the UI is not there yet. It could be improved by being more user-friendly."

"The reporting side wasn't very good in the past, but with the latest versions, it's getting better. Still, the friendliness of the PDC reporting and functionality needs to be improved."

"Sometimes the large injestion takes days to load data, and some of our stored procedures take two to three days."

"We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata."

"They should add more connectors to different platforms."

"The limitation we encountered was related to speed, prompting us to increase our AWS cloud thresholds and benchmarks on the servers, adding more throughput."

"If I want to implement an upgrade, I'd like to see how it will be different."

More Teradata cons

Pricing and Cost Advice

"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."

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

"The solution is affordable."

"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."

"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."

"Teradata is a very expensive solution."

"I rate the product price a nine on a scale of one to ten, where one is cheap and ten is expensive."

"The price of the solution could be reduced, it is expensive."

"The price of Teradata could be less expensive."

"Teradata is currently making improvements in this area."

"The cost of running Teradata is quite high, but you get a good return on investment."

"I am using the free version of Teradata."

More Teradata pricing and cost advice

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Comparison Review

it_user232068

Senior Data Architect at a pharma/biotech company with 1,001-5,000 employees

Aug 5, 2015

Netezza vs. Teradata

Original published at https://www.linkedin.com/pulse/should-i-choose-net Two leading Massively Parallel Processing (MPP) architectures for Data Warehousing (DW) are IBM PureData System for Analytics (formerly Netezza) and Teradata. I thought talking about the similarities and differences…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

15%

Educational Organization

13%

Computer Software Company

Comms Service Provider

Financial Services Firm

18%

Manufacturing Company

Construction Company

Comms Service Provider

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	28
Midsize Enterprise	13
Large Enterprise	53

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...

Comparing Teradata and Oracle Database, which product do you think is better and why?

I have spoken to my colleagues about this comparison and in our collective opinion, the reason why some people may declare Teradata better than Oracle is the pricing. Both solutions are quite simi...

Which companies use Teradata and who is it most suitable for?

Before my organization implemented this solution, we researched which big brands were using Teradata, so we knew if it would be compatible with our field. According to the product's site, the comp...

Is Teradata a difficult solution to work with?

Teradata is not a difficult product to work with, especially since they offer you technical support at all levels if you just ask. There are some features that may cause difficulties - for example,...

Amazon RDS vs Google Cloud SQL

Comparisons

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

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Snowflake vs Teradata

Compared 4% of the time

Oracle Database vs Teradata

Compared 3% of the time

SQL Server vs Teradata

Compared 3% of the time

Databricks vs Teradata

Compared 3% of the time

MySQL vs Teradata

Compared 2% of the time

More Teradata Competitors

Product Reports

Download Google Cloud SQL product report

Google Cloud SQL

August 2026

Download Teradata product report

July 2026

Also Known As

No data available

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY)

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

Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.

Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.

What are the key features of Teradata?

Parallel Processing Architecture: Enables efficient handling of substantial data volumes.
Cloud and On-Premise Deployment: Offers seamless adaptability across environments.
Query Tuning: Improves speed and performance of data retrieval processes.
Workload Management: Ensures optimal resource allocation for enhanced performance.
Robust Security: Provides high levels of data protection and system integrity.
Data Integration: Facilitates cohesive data management from multiple sources.
Automation for Real-time Reporting: Enhances timely data insights and decision-making.
Optimizer and Intelligent Partitioning: Further increase query speed and system efficiency.
Multi-Temperature Data Management: Optimizes the handling and retrieval of data.

What benefits and ROI do users look for?

Efficient Data Management: Facilitates smooth integration and processing of diverse data sets.
Scalability: Easy adjustment to increasing or decreasing data requirements.
Improved Performance: Fast query speeds and optimized resource use.
Comprehensive Security: Safeguards data integrity and accessibility.
Ease of Use: Simplifies data handling and operational processes.

In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.

Sample Customers

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

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