Sigma vs Teradata comparison

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Sigma

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Executive SummaryUpdated on Sep 30, 2025

Teradata and Sigma compete in the enterprise data management segment. Teradata is favored for enterprises with complex data environments due to its robust analytics engine and scalability, while Sigma leads in ease of use and speed of insights, suitable for non-technical teams.

Features: Teradata offers a powerful analytics engine, seamless integration with traditional data infrastructures, and support for large-scale complex queries. Sigma excels with dynamic data exploration, collaboration on live data, and intuitive usability, enabling rapid insights.

Room for Improvement: Teradata could enhance ease of deployment and customer service, streamline its intricate integration processes, and improve support systems. Sigma may benefit from richer advanced analytics capabilities, better performance in managing massive datasets, and more comprehensive enterprise-level features.

Ease of Deployment and Customer Service: Sigma offers straightforward cloud-native deployment and efficient customer service, facilitating quick setup and updates. Teradata provides comprehensive deployment options; however, it can require complex steps for large-scale integration and has a traditional support model.

Pricing and ROI: Teradata's pricing reflects its extensive capabilities, with higher initial and ongoing costs, justified by significant ROI for complex data handling. Sigma is seen as cost-effective, offering scalable pricing with strong ROI for businesses needing rapid insights without heavy infrastructure investment.

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

Sigma vs. Teradata

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Helped 869,566 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:

Categories and Ranking

Sigma

Ranking in BI (Business Intelligence) Tools

16th

Average Rating

7.6

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

Data Visualization (12th)

Teradata

Ranking in BI (Business Intelligence) Tools

13th

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), Marketing Management (5th), Cloud Data Warehouse (4th)

Mindshare comparison

As of October 2025, in the BI (Business Intelligence) Tools category, the mindshare of Sigma is 1.7%, up from 0.8% compared to the previous year. The mindshare of Teradata is 0.7%, 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	0.7%
Sigma	1.7%
Other	97.6%

BI (Business Intelligence) Tools

Featured Reviews

Russell Rothstein

CEO at PeerSpot

Modern dashboards and reports enhance decision-making and presentations

I would love to be able to create my own reports in Sigma, as I can do in Salesforce. Either we are not using it properly, or the software is too complicated. It would be great if there was a way for me to create reports without relying on a data analyst. I'm interested in the upcoming AI co-pilot to enable natural language generation of visualizations and reports. Also, the marketing materials did not match what I feel we've received. Regarding pricing, Sigma's pricing doesn't allow more people to have the ability to create their own reports. We have very few admin or report creator licenses, while everyone else is on a view-only mode.

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Kirk Robinson

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

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

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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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The most valuable feature of Sigma is the detailed reports."

"The tool's interface is easy to use. The functions listed as a part of the menu items are easy to use."

"Sigma is a great software for non-technical business users. If someone's familiar with pivot tables or Excel or Google Sheets, they should be able to pick up Sigma pretty quickly. There is a very low bar for onboarding."

"Sigma has excellent features, such as lookup tables where you can easily bring data that are not interrelated or at different granularity."

"The most valuable aspect for me is having real-time data."

"I find the collaborative features, such as commenting, to be very valuable."

"The most valuable feature of Sigma is the detailed reports."

"Sigma serves as the visualization and reporting front end."

"Things have started moving faster in my company, such as data retrieval happens more quickly."

"Teradata's pretty fast."

"The flexibility in design is very good."

"I like writing preformance queries for preprocessing on AWS Cloud."

"It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs."

"The solution's banking model, called FSLDM (Financial Services Logical Data Model), is sophisticated and good."

"I like this solution's ease of design and the fact that its performance is quite good. It is stable as well."

"The key advantages are Performance when processing Terabytes of data and scalability."

More Teradata pros

Cons

"The product's roadmap regarding introducing new features in the solution or new versions of the tool can be made better in the future."

"I would like to see better visualization options. That would allow me to build out more visually pleasing dashboarding in Sigma."

"Sigma could have better reports."

"The only minor area for improvement lies in handling highly complex visualizations."

"Sigma could have better reports."

"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."

"Either we are not using it properly, or the software is too complicated. It would be great if there was a way for me to create reports without relying on a data analyst."

"Sigma lacks a versioning feature to track changes. There is a need for better structuring, like a folder system, to organize diagrams efficiently."

"There are some ways that the handling of unstructured data could be improved."

"Teradata is a bit late for the cloud."

"I've been using the same UI for 20 years in Teradata. It could use some updating. Adding more stability around Teradata Studio would be outstanding. Teradata Studio is a Java-based version of their tool. It's much better now, but it still has some room for improvement."

"The only issue our company has with Teradata IntelliFlex is that it is not cost-effective because of the way the product has been designed."

"It needs a teaching web site with more training on third-party tools used for BI."

"Since I was working on the very basic, legacy systems, the memory thing was always a challenge. If Teradata is moving to the cloud, the space constraint or the memory issue that my company generally faces will eventually resolve, in time. What I'd like to see in the next release of Teradata is that it becomes full-fledged on the cloud, apart from better connectivity to various systems. For example, if I have to read or include a Python script, if I write some basic codes, I should be able to read even unstructured data. I know that it's not supported even in Snowflake, but at least semi-structured data support, if that can be a little more enhanced, that would be good."

"We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata."

"The cloud is the new challenge and the new opportunity."

More Teradata cons

Pricing and Cost Advice

"The retail price is set at one thousand dollars per creator per year."

"The product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."

"We had a lot of parties involved when purchasing from the AWS Marketplace. They are very flexible and aggressive in trying to close the deal. They are good at what they have to offer and listening to the customer. It's a two-way street."

"I rate the product price a nine on a scale of one to ten, where one is cheap and ten is expensive."

"I am using the free version of Teradata."

"Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world."

"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."

"Teradata is expensive, so it's typically marketed to big customers. However, there have been some changes, and Teradata is now offering more flexible pricing models and equipment leasing. They've added pay-as-you-go and cloud models, so it's changing, but Teradata is generally known as an expensive high-end product."

"The price of Teradata is expensive. However, what they deliver they are outstanding. If you're looking for an inexpensive solution to run a database, this isn't your tool. It's the Ferrari of databases for data warehousing."

More Teradata pricing and cost advice

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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

Financial Services Firm

14%

Computer Software Company

13%

Manufacturing Company

12%

Healthcare Company

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	3
Midsize Enterprise	3
Large Enterprise	1

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

Questions from the Community

What do you like most about Sigma?

The tool's interface is easy to use. The functions listed as a part of the menu items are easy to use.

What is your experience regarding pricing and costs for Sigma?

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. Most users have view...

What needs improvement with Sigma?

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 a...

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

SQL Server vs Teradata

Compared 7% of the time

OpenText Analytics Database (Vertica) vs Teradata

Compared 6% of the time

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Product Reports

Sigma

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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

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

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Sigma vs. Teradata