Google Cloud SQL vs Teradata comparison

Read 83 Teradata reviews

23,951 Views
4,311 Comparison Views

88% willing to recommend

Google Cloud SQL

Comparison Buyer's Guide

Download the report

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: September 2026).

Google Cloud SQL vs. Teradata

Download the complete report

Helped 915,287 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

Ranking in Database Management Systems (DBMS)

12th

Average Rating

8.2

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (6th)

Teradata

Ranking in Relational Databases Tools

7th

Ranking in Database Management Systems (DBMS)

6th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (21st), Data Warehouse (3rd), BI (Business Intelligence) Tools (13th), Marketing Management (5th), Cloud Data Warehouse (5th)

Mindshare comparison

As of October 2026, in the Relational Databases Tools category, the mindshare of Google Cloud SQL is 1.3%, down from 1.3% compared to the previous year. The mindshare of Teradata is 4.0%, down from 4.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Teradata	4.0%
Google Cloud SQL	1.3%
Other	94.7%

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.

Read full review

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

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

"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."

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

"The setup was straightforward. Just a couple of clicks, and we were done."

"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."

"Licensing is not applicable; pricing is reasonable."

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

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

More Google Cloud SQL pros

"The most valuable feature of Teradata was actually the fact that it controls everything on a database."

"We switched because of TD distributed architecture and it is the best product for EDW."

"Teradata provides the analytical performance we need through its “parallel everything” design and industry leading optimizer to intelligently process all types of analytical and business intelligence queries."

"It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs."

"Intelliflex is very scalable. In fact, scalability has improved 100 times by Intelliflex, in my personal opinion."

"There are two very useful features: one is the fast data input for more or less any online data, and two, it also has a lot of tools for data engineering or data manipulation that are compatible."

"It has increased the speed of reporting."

"Teradata solutions help organizations reduce IT, operations, and maintenance costs; enhance on-time delivery of products and services."

More Teradata pros

Cons

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

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

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

"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."

"The monitoring part could be better."

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

"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."

"The overall documentation and the connectors need improvement."

More Google Cloud SQL cons

"The increasing volumes of data demand more and more performance."

"My experience with pricing, setup cost, and licensing indicates that while it was not part of my work, I found Teradata to be somewhat costlier when considering other options."

"The SQL Assistant is very basic. This tool can be improved for usability."

"Needs compatibility with more Big Data platforms."

"The solution could improve by having a cloud version or a cloud component. We have to use other solutions, such as Amazon AWS, Microsoft Azure, or Snowflake for the cloud."

"It should be compatible and free on CLOUD/ AWS. Currently many DB's on AWS are free, Teradata is also on Amazon Web Services, but its charged and no documentation available to practice those LABS."

"The tool's flexibility and capacity for expansion are areas of concern where improvements are required."

"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."

More Teradata cons

Pricing and Cost Advice

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

"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."

"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."

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

"The solution is affordable."

"The price of Teradata is expensive. However, what they deliver they are outstanding. If you're looking for an inexpensive solution to run a database, this isn't your tool. It's the Ferrari of databases for data warehousing."

"In the past, it turned out that other solutions, in order to provide the full range of abilities that the Teradata platform provides plus the migration costs, would end up costing more than Teradata does."

"Teradata is currently making improvements in this area."

"We had a lot of parties involved when purchasing from the AWS Marketplace. They are very flexible and aggressive in trying to close the deal. They are good at what they have to offer and listening to the customer. It's a two-way street."

"Teradata used to be expensive, but they have been lowering their prices."

"I am using the free version of Teradata."

"The price of Teradata could be less expensive."

"The cost is significantly high."

More Teradata pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Relational Databases Tools solutions are best for your needs.

See recommendations

915,287 professionals have used our research since 2012.

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

13%

Educational Organization

13%

Comms Service Provider

10%

Computer Software Company

Financial Services Firm

16%

Outsourcing Company

10%

Manufacturing Company

Construction 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	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 15% of the time

MongoDB Atlas vs Google Cloud SQL

Compared 14% of the time

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 13% 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

Oracle Database vs Teradata

Compared 4% of the time

Snowflake vs Teradata

Compared 3% of the time

SQL Server vs Teradata

Compared 3% of the time

Databricks vs Teradata

Compared 2% of the time

MySQL vs Teradata

Compared 2% of the time

More Teradata Competitors

Product Reports

Google Cloud SQL

Download Google Cloud SQL product report

Download Teradata product report

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

Netflix

Google Cloud SQL vs. Teradata