BigQuery vs Teradata comparison

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BigQuery

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Executive SummaryUpdated on Apr 20, 2025

Teradata and BigQuery are both major players in the data warehousing market. Teradata has an edge with its powerful MPP architecture and exceptional performance, while BigQuery is preferred for its cost-effectiveness and seamless cloud integration.

Features: Teradata features a robust MPP architecture, outstanding query execution speed, and comprehensive analytics capabilities. It excels at handling large datasets and offers flexible deployment options across various environments. BigQuery is known for its serverless setup, scalability, and easy integration with other cloud services. It benefits from a user-friendly interface and extensive real-time data processing abilities.

Room for Improvement: Teradata could benefit from enhanced transaction processing, more flexible cloud offerings, and better pricing options to remain competitive. Users also desire simplified handling of unstructured data and reduced complexity. BigQuery faces challenges with large data query performance, handling of special characters, and pricing structures. Users also seek improved integration tools and better compliance with local data regulations.

Ease of Deployment and Customer Service: Teradata provides flexible deployment options, including on-premises and hybrid solutions, which cater to enterprises needing customized setups. Its customer service is generally positive, though users wish for quicker response times. BigQuery, with its straightforward cloud-based deployment, is favored by those seeking hassle-free setups. While support is reliable, users seek more guidance on direct cloud integrations and more local data residency choices.

Pricing and ROI: Teradata is regarded as a premium product, often viewed as expensive but justified by its capabilities and strong ROI. Large enterprises benefit from its comprehensive services and advanced analytics options. BigQuery offers a more flexible pricing structure that's cost-effective for smaller projects and cloud-focused businesses. Its pay-as-you-go model is praised for affordability but requires careful monitoring to manage costs efficiently.

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

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BigQuery vs. Teradata

June 2025

Helped 856,873 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:

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 analytics speed over 100%, enhancing customer service and satisfaction, with high ROI and user approval.

No quotes available

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No quotes available

For more quotes and insights, download the Teradata report

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 praised for expertise but criticized for delays, with ratings ranging from 6 to 10 out of 10.

rating the customer support at ten points out of ten

Sr. Team Lead - IT at InfoStretch

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

For more quotes and insights, download the BigQuery report

Chief Technical Lead at Human Code

The technical support from Teradata is quite advanced.

Principal Consultant & Director at Quensulting

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

For more quotes and insights, download the Teradata report

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

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 is praised for its scalability, speed, and flexibility, despite some complexity and cost challenges in cloud environments.

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

For more quotes and insights, download the BigQuery report

Chief Technical Lead at Human Code

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

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

8.4

Teradata excels in stability with minimal downtime, robust architecture, 99.9% uptime, and reliable performance, despite minor large dataset 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 users seek better transaction processing, enhanced scalability, modern interface, cloud focus, advanced analytics, and improved support and documentation.

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

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

Sr. Team Lead - IT at InfoStretch

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

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Chief Technical Lead at Human Code

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

For more quotes and insights, download the Teradata report

Team Leader for Data Base Administrators at a government with 1,001-5,000 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 cost is justified by its superior performance, competitive total ownership costs, and flexible pricing models.

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

Chief Technical Lead at Human Code

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

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

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

For more quotes and insights, download the Teradata report

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

Valuable Features

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

Teradata offers efficient, scalable data management with fast query performance, robust security, automation, and cloud flexibility for businesses.

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 Human Code

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

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 (5th), Backup and Recovery (20th), Data Integration (15th), Relational Databases Tools (8th), Data Warehouse (3rd), BI (Business Intelligence) Tools (9th), Marketing Management (6th)

Mindshare comparison

As of June 2025, in the Cloud Data Warehouse category, the mindshare of BigQuery is 6.8%, down from 8.3% compared to the previous year. The mindshare of Teradata is 9.1%, down from 9.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse

Featured Reviews

Handles large data sets efficiently and offers flexible data management capabilities

Chief Technical Lead at Human Code

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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Harnessing advanced parallelism for top performance while embracing cloud trends

Principal Consultant & Director at Quensulting

Teradata is primarily used for data warehousing across all customers. My clients have built-in applications that use Teradata, and their use varies from customer to customer, depending on the industry and database size. The primary function is as an OLAP analytical ecosystem Scalability is…

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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

17%

Financial Services Firm

16%

Manufacturing Company

11%

Retailer

Financial Services Firm

27%

Computer Software Company

11%

Healthcare Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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,...

Oracle Autonomous Data Warehouse vs BigQuery

Comparisons

Snowflake vs BigQuery

Compared 18% of the time

Compared 17% of the time

Vertica vs BigQuery

Compared 15% of the time

Apache Hadoop vs BigQuery

Compared 8% of the time

Oracle Exadata vs BigQuery

Compared 8% of the time

More BigQuery Competitors

Oracle Exadata vs Teradata

Compared 13% of the time

SQL Server vs Teradata

Compared 10% of the time

Snowflake vs Teradata

Compared 7% of the time

IBM Db2 Database vs Teradata

Compared 6% of the time

Oracle Database vs Teradata

Compared 4% of the time

More Teradata Competitors

Product Reports

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BigQuery

June 2025

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May 2025

Also Known As

No data available

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture

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 scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.

As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability, allowing seamless expansion as data grows. Teradata's SQL engine is compatible with a wide range of data types, ensuring flexibility in data analysis. With advanced security measures, it protects sensitive data across various environments, providing peace of mind to users handling critical information.

What are the most important features of Teradata?

Linear Scalability: Easily expands data processing capabilities to handle increasing data loads without performance degradation.
Advanced Analytics: Supports complex analytical operations integrating machine learning and AI for predictive insights.
SQL Compatibility: Offers a comprehensive SQL interface that supports complex queries across diverse data types.
Data Security: Implements rigorous security protocols to protect data integrity and confidentiality.

What benefits and ROI should users look for?

Improved Decision-Making: Derive actionable insights quickly for strategic business decisions.
Cost Efficiency: Optimized resource usage reduces operational costs associated with data processing.
Increased Productivity: Streamlined data operations save time, allowing teams to focus on analysis.
Enhanced Scalability: Seamless growth without significant additional investment as data volumes increase.

Teradata is widely used in industries like finance, telecommunications, and healthcare, where data-driven decisions are critical. Companies leverage its robust analytics capabilities to enhance customer experiences, streamline operations, and ensure compliance with regulatory requirements. In these sectors, quick access to data insights can significantly impact competitive advantage.

Sample Customers

Information Not Available

Netflix