Amazon Redshift vs Teradata comparison

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Amazon Redshift

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Executive SummaryUpdated on Apr 5, 2026

Teradata and Amazon Redshift are two prominent data warehousing solutions. Amazon Redshift offers a competitive edge in pricing and support, while Teradata's comprehensive features focus on performance and scalability.

Features: Teradata is known for robust parallel processing, real-time data loading, and reliability, providing a high-performance environment for large datasets and complex queries. Amazon Redshift is highlighted for cost-effectiveness and scalability, making it ideal for cloud deployment.

Room for Improvement: Teradata faces criticisms for high costs and limited cloud flexibility, needing better integration for unstructured data. Amazon Redshift users call for improved speed in handling large datasets and enhanced real-time processing features.

Ease of Deployment and Customer Service: Teradata offers strong support across on-premises and hybrid models but lacks cloud flexibility. Amazon Redshift is praised for easy cloud deployment within AWS, although customer service responsiveness can be a concern.

Pricing and ROI: Teradata is a high-cost solution delivering substantial ROI through its performance and scalability. Amazon Redshift presents flexible, cost-effective pricing attractive for cloud solutions with strong ROI potential.

To learn more, read our detailed Amazon Redshift vs. Teradata Report (Updated: April 2026).

Amazon Redshift vs. Teradata

April 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:

ROI

Sentiment score

6.0

Some entities quickly achieved cost savings and ROI, while others face challenges with optimization and evaluating benefits.

Sentiment score

6.9

Teradata significantly boosts speed, efficiency, and ROI, with studies showing a 427% average ROI over three years.

We earned back our investment in Amazon Redshift within the first year.

For more quotes and insights, download the Amazon Redshift report

Data engineer at a tech vendor with 10,001+ employees

At least fifteen to twenty percent of our time has been saved using Teradata, which has positively affected team productivity and business outcomes.

Shugoyal Shugoyal

Senior product analyst at a financial services firm with 10,001+ employees

Independent research showed that Teradata VantageCloud users achieved an average ROI of 427% across three years with payback under a year, demonstrating the platform's ability to deliver a strong financial return.

Engineers at a consultancy with 11-50 employees

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

6.8

Amazon Redshift support is efficient yet costly, praised for documentation, but phone contact and complex issue resolution face delays.

Sentiment score

7.1

Teradata's support is praised for professionalism and responsiveness, but feedback on speed is mixed; training resources enhance service.

Whenever we need support, if there is an issue accessing stored data due to regional data center problems, the Amazon team is very helpful and provides optimal solutions quickly.

Pavan Kum

Analyst at Cepstrum(EEE Students Society), IIT Guwahati

Documentation that allows anyone with prior knowledge of Redshift or SQL to resolve technical issues.

For more quotes and insights, download the Amazon Redshift report

Data engineer at a tech vendor with 10,001+ employees

It's costly when you enable support.

RiteshPurbey

Senior Analyst at ESRI INDIA

The customer support for Teradata has been great.

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

They are responsive and knowledgeable, and the documentation is very helpful.

Engineers at a consultancy with 11-50 employees

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

7.3

Amazon Redshift is highly scalable with flexible cluster adjustments, despite some challenges at larger scales and heavy loads.

Sentiment score

7.5

Teradata offers scalable cloud and on-premise solutions with strong adaptability, overcoming hardware limitations and cost challenges efficiently.

The scalability part needs improvement as the sizing requires trial and error.

Data Analytics, Ai & Automation Lead at a venture capital & private equity firm with 10,001+ employees

We have successfully increased our storage space, which was a smooth process without server crashes before or after scaling.

For more quotes and insights, download the Amazon Redshift report

Data engineer at a tech vendor with 10,001+ employees

Whenever we need more resources, we can add that in Teradata, and when not needed, we can scale it down as well.

Shugoyal Shugoyal

Senior product analyst at a financial services firm with 10,001+ employees

This flexibility allows organizations to scale according to their needs, balancing performance, cost, and compliance requirements.

For more quotes and insights, download the Teradata report

Engineers at a consultancy with 11-50 employees

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

RajeshKumar25

Principal Consultant & Director at Quensulting

Stability Issues

Sentiment score

7.3

Opinions on Amazon Redshift's stability vary, with some praising reliability and others noting issues in large clusters or maintenance.

Sentiment score

8.3

Teradata's robust architecture ensures exceptional stability and reliability, with minimal downtime and high user ratings despite some integration challenges.

Amazon Redshift is a stable product, and I would rate it nine or ten out of ten for stability.

For more quotes and insights, download the Amazon Redshift report

Data Analytics, Ai & Automation Lead at a venture capital & private equity firm with 10,001+ employees

Its massively parallel process architecture allows the platform to distribute workload efficiently, enabling organizations to run heavy analytic queries without compromising speed or stability.

Engineers at a consultancy with 11-50 employees

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

For more quotes and insights, download the Teradata report

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.

RajeshKumar25

Principal Consultant & Director at Quensulting

Room For Improvement

Amazon Redshift users face challenges with performance, integration, cost, and features, preferring improved solutions like Snowflake's offerings.

Teradata requires improvements in transaction processing, scalability, UI, cost-effectiveness, analytics features, integration capabilities, and security measures.

They should bring the entire ETL data management process into Amazon Redshift.

Data Analytics, Ai & Automation Lead at a venture capital & private equity firm with 10,001+ employees

Integration with AI could be a good improvement.

Pavan Kum

Analyst at Cepstrum(EEE Students Society), IIT Guwahati

Integration with AI features could elevate its capabilities and popularity.

For more quotes and insights, download the Amazon Redshift report

Data engineer at a tech vendor with 10,001+ employees

I want to highlight two features for improvement: first, storing data in various formats without requiring a tabular structure, accommodating unstructured data; and second, adding AI ML features to better integrate Gen AI, LLM concepts, and user-friendly experiences such as text-to-SQL capabilities.

Ganesh Verma

Data Engineer at Tredence Inc.

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

The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts.

For more quotes and insights, download the Teradata report

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

Setup Cost

Amazon Redshift offers mid-to-high pricing, seen as reasonable due to its scalability and potential cost-effectiveness compared to competitors.

Teradata offers high-value analytics with flexible pricing, excelling in performance and ROI, ideal for large enterprises and data-intensive sectors.

The cost of technical support is high.

RiteshPurbey

Senior Analyst at ESRI INDIA

It's a pretty good price and reasonable for the product quality.

For more quotes and insights, download the Amazon Redshift report

Data Analytics, Ai & Automation Lead at a venture capital & private equity firm with 10,001+ employees

The pricing of Amazon Redshift is expensive.

reviewer1099677

Co-Founder, Director at a tech consulting company with 51-200 employees

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.

RajeshKumar25

Principal Consultant & Director at Quensulting

Role-based access control (RBAC), strong audit and compliance features, high availability, fault tolerance, and encrypted data at rest and in-transit are key features.

For more quotes and insights, download the Teradata report

Engineers at a consultancy with 11-50 employees

Valuable Features

Amazon Redshift offers scalability, fast queries, AWS integration, flexibility, security, cost-effectiveness, easy setup, and compatibility for complex data management.

Teradata excels in parallel processing, scalability, and performance, offering robust data management, security, and integration for efficient data warehousing.

Amazon Redshift's performance optimization and scalability are quite helpful, providing functionalities such as scaling up and down.

For more quotes and insights, download the Amazon Redshift report

Data Analytics, Ai & Automation Lead at a venture capital & private equity firm with 10,001+ employees

Scalability is also a strong point; I can scale it however I want without any limitations.

reviewer1099677

Co-Founder, Director at a tech consulting company with 51-200 employees

The specific features of Amazon Redshift that are beneficial for handling large data sets include fast retrieval due to cloud services and scalability, which allows us to retrieve data quickly.

Pavan Kum

Analyst at Cepstrum(EEE Students Society), IIT Guwahati

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

Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments.

For more quotes and insights, download the Teradata report

Engineers at a consultancy with 11-50 employees

It facilitates data integration, where we integrate and analyze data from various sources, making it a powerful and high-quality reliable solution for the company.

reviewer2783274

Senior Data Engineer at a media company with 1,001-5,000 employees

Categories and Ranking

Amazon Redshift

Ranking in Data Warehouse

6th

Ranking in Cloud Data Warehouse

6th

Ranking in Database Management Systems (DBMS)

8th

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Data Warehouse

3rd

Ranking in Cloud Data Warehouse

2nd

Ranking in Database Management Systems (DBMS)

4th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (14th), Data Integration (12th), Relational Databases Tools (5th), BI (Business Intelligence) Tools (7th), Marketing Management (6th)

Mindshare comparison

As of May 2026, in the Data Warehouse category, the mindshare of Amazon Redshift is 4.6%, down from 7.9% compared to the previous year. The mindshare of Teradata is 8.8%, down from 15.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Teradata	8.8%
Amazon Redshift	4.6%
Other	86.6%

Data Warehouse

Featured Reviews

Optimized restaurant analytics has driven faster insights and streamlined daily reporting

Data engineer at a tech vendor with 10,001+ employees

Amazon Redshift offers massive parallel processing capability, allowing it to handle millions of records, along with integration with other AWS features such as S3 and QuickSight. The column-level storage supports high performance and easy data retrieval compared to other tools. The integration with S3 has helped my team immensely since S3 is our starting source, and the direct integration with Amazon Redshift simplifies the transformation and loading process. Columnar storage has benefited our performance significantly, allowing us to extract specific rows from tables with years of data much faster than other tools with row-level storage. Amazon Redshift has positively impacted our organization by significantly improving query performance and speed. Features such as easy integration with S3 allow us to process millions of records efficiently, ultimately saving us nearly one hour per day for our project.

Read full review

Delivers consistent performance and enables advanced analytics across complex data environments

Engineers at a consultancy with 11-50 employees

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

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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

20%

Manufacturing Company

Computer Software Company

Construction Company

Financial Services Firm

20%

Manufacturing Company

Comms Service Provider

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	27
Midsize Enterprise	21
Large Enterprise	29

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	13
Large Enterprise	52

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?

Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...

What is your experience regarding pricing and costs for Amazon Redshift?

My experience with pricing and setup cost is satisfactory, as we have been loyal clients of Amazon since the beginning of our organization. However, I am not aware of the exact costs associated wit...

What needs improvement with Amazon Redshift?

Amazon Redshift could improve by enhancing its UI to be more user-friendly for non-technical users and by offering better cost management, as similar tools tend to be less expensive. Additionally, ...

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,...

Snowflake vs Amazon Redshift

Comparisons

Compared 14% of the time

Microsoft Azure Synapse Analytics vs Amazon Redshift

Compared 6% of the time

Amazon EMR vs Amazon Redshift

Compared 5% of the time

AWS Lake Formation vs Amazon Redshift

Compared 5% of the time

IBM Db2 Warehouse on Cloud vs Amazon Redshift

Compared 5% of the time

More Amazon Redshift Competitors

Snowflake vs Teradata

Compared 4% of the time

Oracle Database vs Teradata

Compared 4% of the time

SQL Server vs Teradata

Compared 3% of the time

Oracle Exadata vs Teradata

Compared 3% of the time

BigQuery vs Teradata

Compared 2% of the time

More Teradata Competitors

Product Reports

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Amazon Redshift

May 2026

Download Teradata product report

April 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

Amazon Redshift is a dynamic data warehousing and analytics platform offering scalability and seamless AWS integration for high-performance query processing and diverse data management.

Amazon Redshift provides robust data integration capabilities with AWS services like S3 and QuickSight, enabling efficient data warehousing and analytics. It is known for fast query performance due to its columnar storage and can handle diverse file formats. With a user-friendly SQL interface, Redshift supports data compression and offers a strong cost-performance ratio. Its secure VPC configurations and compatibility with data science tools enhance its functionality, although there is room for improving snapshot restoration, dynamic scaling, and processing large datasets.

What are the key features of Amazon Redshift?

Scalability: Allows growth with business needs, accommodating increasing data volumes.
Massive Parallel Processing: Speeds up query performance through parallel data processing.
Seamless AWS Integration: Connects smoothly with services like S3 and QuickSight for enhanced functionality.
Columnar Storage: Enhances query performance by storing data in columns.
User-friendly SQL Interface: Simplifies data query and manipulation.
Data Compression: Efficiently compresses data to reduce storage costs.

What benefits should users look for in reviews?

Cost-Performance Ratio: Offers competitive pricing with high processing efficiency.
Fast Query Performance: Delivers quick data retrieval and processing speeds.
Security Features: Ensures data security through VPC configurations.
Integration Flexibility: Easily integrates with data science tools and BI platforms.

In industries, Amazon Redshift is essential for managing extensive datasets for business intelligence, operational insights, and reporting. It supports data integration from ERPs and S3, handles SQL queries for comprehensive analysis, and facilitates data storage and transformation. Companies use it for predictive modeling and connect with BI tools like Tableau and Power BI to derive actionable insights.

Amazon Web Services (AWS)

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

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449

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