Snowflake vs Teradata comparison

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Snowflake

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Executive SummaryUpdated on Apr 5, 2026

Teradata and Snowflake compete in the data warehousing category, providing robust solutions for enterprises. Snowflake appears to have the upper hand with its flexible pay-per-use pricing model and simpler cloud deployment options.

Features: Teradata offers massively parallel processing, strong redundancy, and scalability, suitable for large data volumes and advanced workload management. Snowflake provides easy scalability, separation of storage and computing, and micro-partitioning features, geared towards efficient ELT handling and user-friendliness with both structured and semi-structured data.

Room for Improvement: Teradata needs enhancements in cost-effectiveness, cloud integration, and handling unstructured data, as well as improved AI capabilities. Snowflake requires improvements in ETL functionality, better cost management tools, and enhanced native handling of unstructured data. Users also desire more advanced AI/ML integration.

Ease of Deployment and Customer Service: Teradata offers on-premises and hybrid deployment options, with high availability features. Its customer service is generally well-regarded, although some report slower response times. Snowflake excels in cloud deployment simplicity, seamless scalability, and responsive customer service, aiding in cost management and utilization strategies.

Pricing and ROI: Teradata's pricing is higher, appealing mainly to large enterprises due to its performance and scalability. Despite the cost, it delivers ROI through reduced downtime and productivity gains. Snowflake offers a flexible pay-per-use pricing model, considered expensive yet providing value through enterprise-level flexibility and ease of use, delivering positive ROI via reduced staffing needs and enhanced analytics capabilities.

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

Snowflake 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

5.9

Users find Snowflake valuable for improving productivity and data handling, with benefits in cost reduction and interface appreciation.

Sentiment score

6.9

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

No quotes available

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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

5.6

Snowflake's customer support is responsive and knowledgeable, yet some users desire quicker resolutions despite overall satisfaction.

Sentiment score

7.1

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

We sought this documentation multiple times but faced difficulty in obtaining it.

Data Integration Developer at a tech services company with 1,001-5,000 employees

I received great support in migrating data to Snowflake, with quick responses and innovative solutions.

Technology Leader at eTCaaS

I am satisfied with the work of technical support from Snowflake; they are responsive and helpful.

For more quotes and insights, download the Snowflake report

Asset Builder at Genpact - Headstrong

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

7.7

Snowflake offers scalable, flexible cloud-based computing with efficient auto-scaling, though cost-effectiveness may be a concern for some.

Sentiment score

7.5

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

Snowflake is very scalable and has a dedicated team constantly improving the product.

Technology Leader at eTCaaS

The billing doubles with size increase, but processing does not necessarily speed up accordingly.

For more quotes and insights, download the Snowflake report

Data Architect at a tech services company with 10,001+ employees

Recently, Snowflake has introduced streaming capabilities, real-time and dynamic tables, along with various connectors.

reviewer2403603

Senior Data Engineer at a tech services company with 11-50 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

8.3

Snowflake is highly dependable, delivering reliable performance with minimal downtime and effective recovery, even under heavy data loads.

Sentiment score

8.3

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

Snowflake is highly stable and performs well even with large data sets exceeding terabytes, maintaining stability throughout.

Data Integration Developer at a tech services company with 1,001-5,000 employees

Snowflake is very stable, especially when used with AWS.

Technology Leader at eTCaaS

Snowflake as a SaaS offering means that maintenance isn't an issue for me.

For more quotes and insights, download the Snowflake report

Data Architect at a tech services company 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

Snowflake users desire better geo-spatial queries, UI, integration, ML capabilities, pricing clarity, migration ease, and enhanced data management features.

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

Enhancements in user experience for data observability and quality checks would be beneficial, as these tasks currently require SQL coding, which might be challenging for some users.

Data Architect at a tech services company with 10,001+ employees

What things you are going with to ask the support and how we manage the relationship matters a lot.

For more quotes and insights, download the Snowflake report

Asset Builder at Genpact - Headstrong

If more connectors were brought in and more visibility features were added, particularly around cost tracking in the FinOps area, it would be beneficial.

reviewer2403603

Senior Data Engineer at a tech services company with 11-50 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

Snowflake's pay-as-you-go model is cost-effective and flexible, but its pricing can be complex and challenging to predict.

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

When it comes to cloud support, the setup cost is very cheap compared to other platforms, such as Oracle or PostgreSQL, which typically require higher costs.

Data Integration Developer at a tech services company with 1,001-5,000 employees

Snowflake's pricing is on the higher side.

Technology Leader at eTCaaS

Snowflake lacks transparency in estimating resource usage.

For more quotes and insights, download the Snowflake report

Data Architect at a tech services company with 10,001+ 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

Snowflake offers scalable, efficient data management with seamless integration, enhancing productivity and reducing costs through easy use and strong security.

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

We had a comparison with Databricks and Snowflake a few months back, and this auto-scaling takes an edge within Snowflake; that's what our observation reflects.

Asset Builder at Genpact - Headstrong

I have used the Snowflake Zero-Copy Cloning feature in the past while prototyping data in lower environments. This feature is helpful as it saves a lot of time during the data replication process.

reviewer2403603

Senior Data Engineer at a tech services company with 11-50 employees

Snowflake has contributed to significant cost savings.

For more quotes and insights, download the Snowflake report

Data Integration Developer at a tech services company with 1,001-5,000 employees

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

Snowflake

Ranking in Data Warehouse

1st

Ranking in Cloud Data Warehouse

1st

Ranking in Database Management Systems (DBMS)

7th

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

105

Ranking in other categories

AI Synthetic Data (1st), AI Software Development (11th)

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 Snowflake is 9.3%, down from 13.8% 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 (%)
Snowflake	9.3%
Teradata	8.8%
Other	81.9%

Data Warehouse

Featured Reviews

Have prioritized security while managing multi-agent data migration and cloud adoption

Asset Builder at Genpact - Headstrong

We utilize Time Travel with Snowflake because this is a very useful feature. Everyone finds it crucial because in conventional data platforms, it's very difficult to handle these kinds of things. This feature is essential, though I don't have the use cases currently; it is just there for implementation. Regarding Snowflake's automated scaling and suspension features, this auto-scaling is very significant. We had a comparison with Databricks and Snowflake a few months back, and this auto-scaling takes an edge within Snowflake; that's what our observation reflects.

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

Healthcare 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	30
Midsize Enterprise	20
Large Enterprise	59

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

Questions from the Community

What is your experience regarding pricing and costs for Snowflake?

For pricing, setup cost, and licensing, everything is managed smoothly. Regarding licensing, it is inexpensive. The setup cost is low, mainly due to AWS Marketplace; we only need to pay for serverl...

What needs improvement with Snowflake?

Snowflake is already quite improved, but they have recently introduced AI features. AI integration would be beneficial for direct data capturing from systems such as SAP and Salesforce to Snowflake...

What is your primary use case for Snowflake?

Snowflake is primarily used to handle the data warehousing part, for creating data modeling, and also keeping the raw data and creating reporting data so that it is further used for data analytics....

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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Product Reports

Snowflake

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Also Known As

Snowflake Computing, Snowflake Data Cloud

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

Overview

Snowflake provides a modern data warehousing solution with features designed for seamless integration, scalability, and consumption-based pricing. It handles large datasets efficiently, making it a market leader for businesses migrating to the cloud.

Snowflake offers a flexible architecture that separates storage and compute resources, supporting efficient ETL jobs. Known for scalability and ease of use, it features built-in time zone conversion and robust data sharing capabilities. Its enhanced security, performance, and ability to handle semi-structured data are notable. Users suggest improvements in UI, pricing, on-premises integration, and data science functions, while calling for better transaction performance and machine learning capabilities. Users benefit from effective SQL querying, real-time analytics, and sharing options, supporting comprehensive data analysis with tools like Tableau and Power BI.

What are Snowflake's Key Features?

Scalability: Easily adjusts to handle growing data volumes.
Seamless Integration: Works with a wide range of platforms.
Consumption-Based Costs: Pay only for what you use.
Time Travel: Access historical data effortlessly.
Data Sharing: Secure and efficient sharing of datasets.
Time Zone Conversion: Built-in feature for global operations.
Security: Robust measures to protect sensitive information.
Compute and Storage Separation: Independent scaling for optimal performance.

What Benefits Should You Look for?

Cost Efficiency: Optimized pricing models for minimal waste.
Enhanced Performance: Fast queries and processing times.
Flexibility: Handles both structured and semi-structured data.
Analytics Capabilities: Supports advanced data analysis and reporting.

In industries like finance, healthcare, and retail, Snowflake's flexible data warehousing and analytics capabilities facilitate cloud migration, streamline data storage, and allow organizations to consolidate data from multiple sources for advanced insights and AI-driven strategies. Its integration with analytics tools supports comprehensive data analysis and reporting tasks.

Snowflake Computing

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

Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops

Netflix

Snowflake vs. Teradata