BigQuery vs Teradata comparison

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BigQuery

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Executive SummaryUpdated on Sep 30, 2025

Teradata and BigQuery are leaders in the data warehousing category. Teradata is noted for its high-performance on-premises capabilities, while BigQuery shines with its cloud-native features, giving it an edge in scalability and integration with machine learning tools.

Features: Teradata is known for its ability to handle large data volumes through advanced parallel processing and robust query tuning capabilities. Its adaptability in deployment and comprehensive analytics toolset are highly valued. BigQuery is praised for its serverless architecture, scalability, and seamless integration with machine learning tools, which enhance flexibility and processing speed.

Room for Improvement: Teradata users desire better cloud compatibility, an easier user interface, improvements in handling unstructured data, and more advanced predictive analytics features. BigQuery users have pointed to high pricing, cache limitations on external tables, and UI improvements as areas needing enhancement.

Ease of Deployment and Customer Service: Teradata offers strong performance in on-premises and hybrid environments but faces challenges in scalability. Its customer service is generally well-regarded, though speedier response times are wanted. BigQuery excels in public cloud settings with easy setup, but support issues are associated with its lack of local presence.

Pricing and ROI: Teradata, while expensive, is suitable for large enterprises seeking premium analytics, offering substantial ROI through performance benefits. BigQuery presents a flexible pricing model, cost-effective for large-scale data tasks, although it can become expensive if not managed properly.

To learn more, read our detailed BigQuery vs. Teradata Report (Updated: September 2025).

BigQuery vs. Teradata

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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:

ROI

Sentiment score

7.4

Organizations experienced improved performance and cost savings after adopting BigQuery, achieving a 75% cost reduction and efficient data management.

Sentiment score

8.1

Teradata boosts speed and ROI, with high customer satisfaction and enhanced analytics, rated highly by organizations like Central Bank of Colombia.

No quotes available

For more quotes and insights, download the BigQuery report

We have realized a return on investment, with a reduction of staff from 27 to eight, and our current return on investment is approximately 14%.

For more quotes and insights, download the Teradata report

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

Customer Service

Sentiment score

7.2

Customers generally find BigQuery support helpful, but integration challenges and resource availability need improvement despite positive responsiveness.

Sentiment score

7.1

Teradata's customer service is highly rated for professionalism and expertise, though response times occasionally need improvement and experiences vary.

I have been self-taught and I have been able to handle all my problems alone.

Chief Technical Lead at a consultancy with 201-500 employees

rating the customer support at ten points out of ten

For more quotes and insights, download the BigQuery report

Sr. Team Lead - IT at InfoStretch

The customer support for Teradata has been great.

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

Customer support is very good, rated eight out of ten under our essential agreement.

Team Leader for Data Base Administrators at a government with 1,001-5,000 employees

The technical support from Teradata is quite advanced.

For more quotes and insights, download the Teradata report

Principal Consultant & Director at Quensulting

Scalability Issues

Sentiment score

8.0

BigQuery offers impressive scalability and efficiency for large data, but may be costly and present integration challenges for smaller users.

Sentiment score

7.4

Teradata's cloud capabilities offer flexible, efficient scalability, though some users face cost and on-premise expansion challenges.

It is a 10 out of 10 in terms of scalability.

For more quotes and insights, download the BigQuery report

Chief Technical Lead at a consultancy with 201-500 employees

The scalability is definitely good because we are migrating to the cloud since the computers on the premises or the big database we need are no longer enough.

reviewer2641596

Expert Analyst at a healthcare company with 5,001-10,000 employees

This expansion can occur without incurring downtime or taking systems offline.

Principal Consultant & Director at Quensulting

Teradata's scalability is great; it's been awesome.

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

Scalability is complex as you need to purchase a license and coordinate with Teradata for additional disk space and CPU.

For more quotes and insights, download the Teradata report

Team Leader for Data Base Administrators at a government with 1,001-5,000 employees

Stability Issues

Sentiment score

8.5

BigQuery is highly stable and reliable for cloud data analytics, efficiently handling large volumes with minor issues.

Sentiment score

8.3

Teradata is praised for stability with high uptime, robust architecture, minimal downtime, and effective workload management despite occasional issues.

No quotes available

For more quotes and insights, download the BigQuery report

I find the stability to be almost a ten out of ten.

Team Leader for Data Base Administrators at a government with 1,001-5,000 employees

The workload management and software maturity provide a reliable system.

For more quotes and insights, download the Teradata report

Principal Consultant & Director at Quensulting

Room For Improvement

BigQuery users face challenges with migration, integration, cost, scaling, user interfaces, and call for better machine learning capabilities.

Teradata needs improvements in transactional processing, user interface, pricing, integration, analytics, scalability, AI features, and support.

BigQuery is already integrating Gemini AI into the data extraction process directly in order to reduce costs.

Chief Technical Lead at a consultancy with 201-500 employees

Troubleshooting requires opening each pipeline individually, which is time-consuming.

For more quotes and insights, download the BigQuery report

Sr. Team Lead - IT at InfoStretch

In general, if I know SQL and start playing around, it will start making sense.

reviewer2641596

Expert Analyst at a healthcare company with 5,001-10,000 employees

Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.

Team Leader for Data Base Administrators at a government with 1,001-5,000 employees

If Teradata could provide a list of certified experts, that would be fantastic.

For more quotes and insights, download the Teradata report

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

Setup Cost

BigQuery offers flexible, pay-as-you-go pricing based on data usage, with low storage costs and adaptable enterprise plans.

Teradata's high pricing is justified by performance, with flexible models offering value for large projects, requiring negotiation.

Being able to optimize the queries to data is critical. Otherwise, you could spend a fortune.

Chief Technical Lead at a consultancy with 201-500 employees

The price is perceived as expensive, rated at eight out of ten in terms of costliness.

For more quotes and insights, download the BigQuery report

Sr. Team Lead - IT at InfoStretch

Teradata is much more expensive than SQL, which is well-performed and cheaper.

Team Leader for Data Base Administrators at a government with 1,001-5,000 employees

Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.

Principal Consultant & Director at Quensulting

We spent roughly $295,000 on setup costs.

For more quotes and insights, download the Teradata report

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

Valuable Features

BigQuery excels in scalability, performance, cost-efficiency, and integration with Google products, making it ideal for complex data analyses.

Teradata offers scalable, fast processing with excellent performance, adaptability, ease of use, robust security, and advanced analytics capabilities.

It is really fast because it can process millions of rows in just a matter of one or two seconds.

reviewer2641596

Expert Analyst at a healthcare company with 5,001-10,000 employees

The features I find most valuable in this solution are the ability to run and handle large data sets in a very efficient way with multiple types of data, relational as SQL data.

Chief Technical Lead at a consultancy with 201-500 employees

BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes.

For more quotes and insights, download the BigQuery report

Sr. Team Lead - IT at InfoStretch

Teradata's security helps our organization meet compliance requirements such as GDPR and IFRS, and it is particularly essential for revenue contracting or revenue recognition.

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

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

For more quotes and insights, download the Teradata report

Team Leader for Data Base Administrators at a government with 1,001-5,000 employees

Categories and Ranking

BigQuery

Ranking in Cloud Data Warehouse

3rd

Average Rating

8.2

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Cloud Data Warehouse

4th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (21st), Data Integration (17th), Relational Databases Tools (8th), Data Warehouse (3rd), BI (Business Intelligence) Tools (13th), Marketing Management (5th)

Mindshare comparison

As of October 2025, in the Cloud Data Warehouse category, the mindshare of BigQuery is 8.0%, up from 7.8% compared to the previous year. The mindshare of Teradata is 8.5%, down from 9.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Market Share Distribution
Product	Market Share (%)
BigQuery	8.0%
Teradata	8.5%
Other	83.5%

Cloud Data Warehouse

Featured Reviews

Handles large data sets efficiently and offers flexible data management capabilities

Chief Technical Lead at a consultancy with 201-500 employees

The features I find most valuable in this solution are the ability to run and handle large data sets in a very efficient way with multiple types of data, relational as SQL data. It is kind of difficult to explain, but structured data and the ability to handle large data sets are key features. The data integration capabilities in BigQuery were, in fact, an issue at the beginning. There are two types of integrations. As long as integration is within Google, it is pretty simple. When you start to try to connect external clients to that data, it becomes more complex. It is not related to BigQuery, it is related to Google security model, which is not easy to manage. I would not call it an integration issue of BigQuery, I would call it an integration issue of Google security model.

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Has improved data quality, optimized reporting processes, and enabled predictive insights across business units

Interim and Fractional CIO and CTO at a consultancy with 11-50 employees

The limitation we encountered was related to speed, prompting us to increase our AWS cloud thresholds and benchmarks on the servers, adding more throughput. We have been testing that, but speed remains one of our key issues. The integration has been awesome because of the platforms and their usage, and usability is great. The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts. If Teradata could provide a list of certified experts, that would be fantastic. I rated Teradata a nine because the main area for improvement is the bandwidth of resources that could assist us in applying to our projects, specifically more certified and expert resources. The market share of Teradata professionals is limited, creating an issue for us.

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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…

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Top Industries

By visitors reading reviews

Computer Software Company

16%

Financial Services Firm

14%

Manufacturing Company

12%

Retailer

Financial Services Firm

25%

Computer Software Company

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	9
Large Enterprise	20

By reviewers
Company Size	Count
Small Business	26
Midsize Enterprise	12
Large Enterprise	49

Questions from the Community

What do you like most about BigQuery?

The initial setup process is easy.

What is your experience regarding pricing and costs for BigQuery?

I believe the cost of BigQuery is competitive versus the alternatives in the market, but it can become expensive if the tool is not used properly. It is on a per-consumption basis, the billing, so ...

What needs improvement with BigQuery?

I have not used BigQuery for AI and machine learning projects myself. I know how to use it, and I can see where it would be useful, but so far, in my projects, I have not included a BigQuery compon...

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,...

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Compared 7% of the time

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Compared 7% of the time

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Compared 4% of the time

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Product Reports

BigQuery

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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

BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. ... You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.

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

Information Not Available

Netflix

BigQuery vs. Teradata