Sigma vs Workday Prism Analytics comparison

Why PeerSpot?

Sigma Computing and Workday are both solutions in the BI (Business Intelligence) Tools category. Sigma Computing is ranked #16 with an average rating of 7.2, while Workday is ranked #34. Sigma Computing holds a 1.3% mindshare in BIT, compared to Workday’s 0.9% mindshare. Additionally, 100% of Sigma Computing users are willing to recommend the solution, compared to 100% of Workday users who would recommend it.

Sigma

Read 12 Sigma reviews

4,757 Views
3,758 Comparison Views

100% willing to recommend

Workday Prism Analytics

Read 5 Workday Prism Analytics reviews

2,955 Views
2,512 Comparison Views

100% willing to recommend

Sigma

Workday Prism Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 1, 2025

Workday Prism Analytics and Sigma compete in the analytics and business intelligence space. Workday has the upper hand in real-time data processing and integration, while Sigma excels in user-friendly interfaces and flexible reporting.

Features: Workday Prism Analytics offers robust data integration, real-time insights, and secure merging of external and internal data. Sigma provides a spreadsheet-like interface, direct cloud data access without moving it, and real-time collaboration capabilities.

Ease of Deployment and Customer Service: Workday Prism Analytics integrates with the Workday environment, requiring time but ensuring a seamless experience. Sigma emphasizes rapid deployment with easy onboarding. Workday offers comprehensive support within its ecosystem, whereas Sigma's support team is responsive and focuses on agile problem-solving.

Pricing and ROI: Workday Prism Analytics entails a higher initial setup cost but can deliver substantial ROI for enterprises using Workday. Sigma presents a more accessible pricing strategy with lower initial costs, focusing on quick ROI and flexible scalability.

To learn more, read our detailed Sigma vs. Workday Prism Analytics Report (Updated: September 2026).

Buyer's Guide

Sigma vs. Workday Prism Analytics

September 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:

Categories and Ranking

Sigma

Ranking in BI (Business Intelligence) Tools

16th

Average Rating

7.8

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Visualization (14th)

Workday Prism Analytics

Ranking in BI (Business Intelligence) Tools

34th

Average Rating

8.6

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2026, in the BI (Business Intelligence) Tools category, the mindshare of Sigma is 1.3%, down from 1.7% compared to the previous year. The mindshare of Workday Prism Analytics is 0.9%, down from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Sigma	1.3%
Workday Prism Analytics	0.9%
Other	97.8%

BI (Business Intelligence) Tools

Featured Reviews

Lh Hawes

Business Intelligence and Analytics Intern at Workato

Empowering sales teams has become effortless as collaborative dashboards compare rep performance

I cannot remember specifics, but there were one or two times when I wanted to build something in a dashboard but Sigma would not let me compute the math in the way that I wanted to compute it. It felt like it was a little bit limited in ability because there were very specific functions and specific mathematical computations that Sigma allows you to do, and if you want to do something outside of that, it did not seem like it was possible. There was one time where even with a Sigma support agent, we could not figure out the most effective way to accomplish the task and run a query that we wanted to. Expanding features and abilities and functions within Sigma could be one way to improve Sigma.

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Sarvesh Kumar Jha

Senior Technology Consultant at PricewaterhouseCoopers

Provides great flexibility in terms of data transformation

I really like the flexibility the solution provides in terms of data transformation. Workday introduced Prism Analytics mainly because many clients wanted to merge data from different systems and then work with it to get some insights out of it. For that, they previously used tools like Power BI. Workday Prism Analytics gives you the power to do all the data transformations within Workday itself without taking out crucial data to a third system. I really like the way Workday has enabled Prism Analytics to be that one solution where you can bring everything. It also provides you the flexibility that things like the security model of Workday are still in place. You don't have to redo your security configuration if you do the data transformation outside Workday.

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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

"Having those dashboards set up in Sigma has made things easier for me and my team because it's just going into one report."

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

"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."

"Sigma's customer support is excellent, and that is actually one of the other reasons why we ended up going with Sigma, as we are able to hit the question mark and ask for support and get real live people that are very knowledgeable."

"Sigma has positively impacted my organization by creating a culture that we are trying to add to all processes, simplifying our processes and improving our analysis effort."

"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."

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

"Sigma is valuable because you can do pretty much anything you need to do within Sigma."

More Sigma pros

"The customer service and support are pretty good."

"I really like the flexibility the solution provides in terms of data transformation."

"The product is easier to use compared to other applications."

"The solution is stable and reliable, with minimal issues affecting its performance."

"Feature-wise, I feel that the solution's stability is good."

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."

"It felt like it was a little bit limited in ability because there were very specific functions and specific mathematical computations that Sigma allows you to do, and if you want to do something outside of that, it did not seem like it was possible."

"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."

"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."

"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 can be improved in terms of speed; it would be great if it could process the data even faster."

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

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

More Sigma cons

"It is not a very scalable product."

"When you create certain objects, a lot of the time, the fields are text. They’re not numeric, date, or any other field type"

"One area for improvement in the solution is the ability to manually update individual rows or columns of data once it has been uploaded."

"There is not much flexibility in how we can add external data within Workday Prisma Analytics."

"The visualization techniques must be upgraded."

Pricing and Cost Advice

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

"The solution is very expensive."

"I do not know of the licensing cost, but there are additional costs like 5,00,000 for recruitment modules."

"Based on whatever I have heard, Workday Prism Analytics is considered an expensive tool."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Manufacturing Company

10%

Outsourcing Company

Healthcare Company

Financial Services Firm

11%

Healthcare Company

Construction Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	3
Large Enterprise	2

No data available

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.

See all answers

What needs improvement with Sigma?

I think Sigma can be improved by continuing to do what they are doing in leaning into AI and leaning into the Snowflake integration with AI. All of the conversational features that they have recent...

See all answers

What is your primary use case for Sigma?

My main use case for Sigma is for enterprise dashboards, which is originally why I brought it in, and self-service analytics. A quick and specific example of how I used Sigma for enterprise dashboa...

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Compared 16% of the time

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Compared 7% of the time

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Compared 5% of the time

SAP Business Data Cloud vs Workday Prism Analytics

Compared 5% of the time

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Product Reports

Buyer's Guide

Sigma

September 2026

Download Sigma product report

Buyer's Guide

BI (Business Intelligence) Tools

October 2026

Download Workday Prism Analytics product report

Also Known As

No data available

Prism Analytics

Overview

Sigma enhances data tasks with an Excel-like interface, encouraging collaboration and non-technical user engagement. Its strengths include handling vast datasets and facilitating real-time data exploration, appealing to industries aiming for data-driven decision-making.

Sigma stands out with its capabilities for real-time collaboration and ease of use due to its Excel-inspired interface. It supports engagement with large datasets and prioritizes strong data governance. Key features include live queries on cloud databases and seamless integration with Snowflake. Its AI capabilities and self-service access help users perform detailed reporting and pivot table creation from extensive datasets, significantly affecting organizational efficiency and decision-making processes.

What are Sigma's most important features?

Excel-like Interface: Facilitates ease of data interaction for non-technical users.
Real-time Collaboration: Enables users to work together simultaneously.
Large Dataset Handling: Efficiently manages extensive data volumes.
Live Cloud Data Queries: Access real-time data directly from the cloud.
Integration with Snowflake: Provides unified data views and seamless data access.
AI Capabilities: Enhances data processing and analysis efficiency.

What benefits or ROI should users look for?

Ease of Use: Simplifies data tasks for non-technical users.
Improved Efficiency: Enhances decision-making capabilities through comprehensive reporting.
Self-service Data Access: Allows independence in generating reports and data analysis.
Real-time Insights: Offers immediate data exploration and insights.
Data Governance: Ensures robust management of data security and integrity.

Sigma is predominantly used for creating dashboards, reporting, and data visualization. It assists in real-time data exploration and ad hoc analysis, connecting seamlessly with Snowflake for consistent data views. Sales teams use it for performance comparison dashboards, while marketing teams apply it for data migration assessments. Organizations leverage its comprehensive reporting and analytics for informed decision-making.

Sigma Computing

Workday Prism Analytics is a robust analytics platform offering seamless integration with Workday, allowing secure data blending from external sources such as CSV files for insightful reporting.

Workday Prism Analytics enhances data manipulation and transformation capabilities, enabling complex calculations for accurate reporting without reliance on third-party solutions. Its security configurations allow merging from different systems safely within Workday. The platform’s flexibility supports comprehensive datasets and data-driven decision-making, especially in HR and recruitment analytics. However, challenges include improving data visualization, schema printing, and external data addition. Users seek improved field types beyond text-based options and optimized methods for manual data updates. Scalability and performance with large datasets need attention to bolster efficient data analysis.

What are the key features of Workday Prism Analytics?

Stability and Intuitive Use: Offers a user-friendly interface with reliable performance.
Integration with Workday: Enables seamless data blending and manipulation within Workday ecosystem.
Data Transformation: Allows flexible and secure data merging from different systems.
Complex Calculation Support: Facilitates comprehensive reporting capabilities.

What are the expected benefits for users of Workday Prism Analytics?

Comprehensive Reporting: Eliminates need for third-party reporting solutions, providing accurate insights.
Data-Driven Decisions: Enhances decision-making through detailed data analysis.
Security Maintenance: Ensures essential security configurations during data integration.
Enhanced HR and Recruitment Analytics: Enables effective analytics for HR processes and recruitment activities.

Industries implement Workday Prism Analytics for HR and data analytics, focusing on extracting data for analysis and custom reporting. Common use includes generating KPIs and bridging gaps in client systems, such as integrating data from SAP, facilitating HR processes, recruitment, and creating reports not possible within Workday. Consultants often handle technical aspects and training, ensuring optimal use in generating insights and supporting data-driven strategies.

Workday

Sample Customers

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

Denny's

Buyer's Guide

Sigma vs. Workday Prism Analytics

September 2026

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