Sigma vs Teradata comparison

Read 83 Teradata reviews

10,773 Views
1,077 Comparison Views

88% willing to recommend

Sigma

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jan 4, 2026

Teradata and Sigma compete in the data management and analytics category. Teradata has the upper hand with its advanced analytics and scalability for large enterprise needs, while Sigma excels in user-friendly design and real-time data handling.

Features: Teradata offers parallel processing, query optimization, and robust analytics capabilities. Its adaptability and efficient management of large data volumes are notable, making it ideal for complex data environments. Sigma shines with its ease of creating pivot tables, real-time data processing, and seamless integration capabilities, especially for interactive dashboards and reports.

Room for Improvement: Teradata users seek better adaptation to cloud environments, reduced costs, and enhanced performance scaling. There is also a demand for improved unstructured data handling and cloud integration. Sigma needs enhanced visualization options, faster performance, and a more intuitive interface. Its high cost for creator licenses is a barrier to wider reporting capabilities.

Ease of Deployment and Customer Service: Teradata provides diverse deployment options, including on-premises and hybrid cloud, though on-premises setups can be complex. Its professional customer service is well-regarded, with suggestions for improved response times. Sigma, mainly cloud-based, offers easier deployment and high customer satisfaction, contrasting with Teradata's depth of documentation and resources. Both have strong technical support, but Sigma's simplicity marks a difference.

Pricing and ROI: Teradata is powerful but costly, suitable for larger enterprises due to its performance benefits and operational efficiencies. Sigma's high pricing for creator licenses limits access but delivers ROI through enhanced reporting efficiency. Teradata's expenses are justified by its capabilities in extensive setups, whereas Sigma provides a cost-effective solution for easy data visualization and reporting needs.

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

Sigma vs. Teradata

Download the complete report

Helped 880,954 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

7.1

Sigma reduces manual spreadsheet maintenance, offers instant insights, and boosts efficiency, justifying higher costs over Tableau for users.

Sentiment score

6.9

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

It's essential for everything data-related within our company.

For more quotes and insights, download the Sigma report

CEO at PeerSpot

I have seen a return on investment with Sigma; we already said that it saves about a quarter, it gets me to answers about 25% faster.

Fivel Glasser

Customer Success Manager at a tech company with 51-200 employees

I have definitely seen a return on investment through time saving because once the dashboards are built, they are built.

Trent Conley

Head of Marketing at a tech company with 51-200 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

Sigma's support is efficient and reliable, offering quick assistance, but improvements in visualization and data modeling are needed.

Sentiment score

7.1

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

As Sigma is a cloud platform, you do not need to do all that maintenance work.

For more quotes and insights, download the Sigma report

Lead Analytics Consultant at a outsourcing company with 51-200 employees

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

5.2

Sigma's scalability and free unlimited viewer access enhance data sharing, while easy permissions and live data access set it apart.

Sentiment score

7.5

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

Permissions are easily set, so you only get to see what you need to see and you can share what needs to be shared.

Trent Conley

Head of Marketing at a tech company with 51-200 employees

For more quotes and insights, download the Sigma report

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

Sigma is consistently reliable with stable performance, no reported issues, or disruptions, ensuring error-free projects across teams.

Sentiment score

8.3

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

We did not face typical errors during our project with Sigma.

For more quotes and insights, download the Sigma report

Lead Analytics Consultant at a outsourcing company with 51-200 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

Sigma's limited visuals, complex workflows, and steep learning curve hinder usability compared to competitors like Power BI.

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

The main improvement needed is in data modeling capabilities.

Lead Analytics Consultant at a outsourcing company with 51-200 employees

Sigma lacks a versioning feature to track changes.

reviewer2346903

Technical Lead at a tech vendor with 10,001+ employees

It would be great if there was a way for me to create reports without relying on a data analyst.

For more quotes and insights, download the Sigma report

CEO at PeerSpot

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

Enterprise buyers find Sigma licensing costly, with high platform and creator fees, leading to a preference for view-only licenses.

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

The pricing of Sigma is a concern, as it restricts our ability to provide more users with report-creating capabilities due to the high cost of admin or report creator licenses.

For more quotes and insights, download the Sigma report

CEO at PeerSpot

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

Sigma excels with pivot tables, data integration, collaboration, and visual appeal, enhancing teamwork and decision-making efficiency.

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

The use of Sigma in decision-making, presentations to customers, and reporting to investors showcases its value in handling data-related tasks.

For more quotes and insights, download the Sigma report

CEO at PeerSpot

Sigma has positively affected my organization by saving us time in accessing information, which ultimately gets us to complete projects faster.

Fivel Glasser

Customer Success Manager at a tech company with 51-200 employees

Sigma has positively impacted my organization because I think it has been a huge impact, and we use it for all our reporting and our dashboards for tracking.

Trent Conley

Head of Marketing at a tech company with 51-200 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

Sigma

Ranking in BI (Business Intelligence) Tools

15th

Average Rating

7.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Visualization (11th)

Teradata

Ranking in BI (Business Intelligence) Tools

8th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (15th), Data Integration (15th), Relational Databases Tools (6th), Data Warehouse (3rd), Marketing Management (5th), Cloud Data Warehouse (3rd), Database Management Systems (DBMS) (3rd)

Mindshare comparison

As of January 2026, in the BI (Business Intelligence) Tools category, the mindshare of Sigma is 1.6%, up from 1.0% compared to the previous year. The mindshare of Teradata is 0.9%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Market Share Distribution
Product	Market Share (%)
Teradata	0.9%
Sigma	1.6%
Other	97.5%

BI (Business Intelligence) Tools

Featured Reviews

Great collaboration with intuitive interface and dynamic visualization capabilities

Lead Analytics Consultant at a outsourcing company with 51-200 employees

As we are exploring multiple features in Sigma, I think Sigma can add more functionality. As Power BI gives multiple modeling options in its interface with the query editor, those features can be added in Sigma for intuitiveness or for making the data very clean. From the dashboarding perspective, it performs well. However, from the modeling perspective, it requires more capabilities that can be added in Sigma. The main improvement needed is in data modeling capabilities. If they add those features in the near future, it would be very helpful for us to implement the same or do the data cleansing part in the Sigma tool itself.

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

See which vendors are best for you

Use our free recommendation engine to learn which BI (Business Intelligence) Tools solutions are best for your needs.

See recommendations

880,954 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%

Computer Software Company

11%

Manufacturing Company

10%

Healthcare Company

Financial Services Firm

23%

Manufacturing Company

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	3
Large Enterprise	2

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 Sigma?

I do not know much about my experience with pricing, setup cost, and licensing because I am not heavily involved in that.

What needs improvement with Sigma?

I think Sigma can be improved because, for the last ten months since I first started here, this is my first time ever using it, and I think there is a steep learning curve. It is not as intuitive a...

What is your primary use case for Sigma?

My main use case for Sigma is that there are a bunch of reports, and many of our main reports are built on Sigma. I use it as a dashboard, review the reports, filter through there, and use it to he...

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,...

Microsoft Power BI vs Sigma

Comparisons

Hex vs Sigma

Compared 27% of the time

Omni vs Sigma

Compared 23% of the time

Apache Superset vs Sigma

Compared 10% of the time

Compared 9% of the time

Amazon QuickSight vs Sigma

Compared 7% of the time

More Sigma Competitors

Oracle Exadata vs Teradata

Compared 7% of the time

Snowflake vs Teradata

Compared 6% of the time

Oracle Database vs Teradata

Compared 5% of the time

SQL Server vs Teradata

Compared 5% of the time

IBM Db2 Database vs Teradata

Compared 5% of the time

More Teradata Competitors

Product Reports

Sigma

Download Sigma 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

Sigma is the next-generation of analytics for cloud data warehouses with a familiar spreadsheet-like interface that gives business experts the power to ask any question of their data no matter the query.

Sigma 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

Snowflake, Fivetran ,Autodesk, Flowspace, Super League Gaming, Zumper, Clover, Volta, Olivela

Netflix

Sigma vs. Teradata