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Teradata vs Workday Prism Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 27, 2025

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

Teradata
Ranking in BI (Business Intelligence) Tools
9th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
76
Ranking in other categories
Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (15th), Relational Databases Tools (8th), Data Warehouse (3rd), Marketing Management (6th), Cloud Data Warehouse (4th)
Workday Prism Analytics
Ranking in BI (Business Intelligence) Tools
17th
Average Rating
8.6
Reviews Sentiment
7.6
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the BI (Business Intelligence) Tools category, the mindshare of Teradata is 0.9%, up from 0.3% compared to the previous year. The mindshare of Workday Prism Analytics is 1.8%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools
 

Featured Reviews

RajeshKumar25 - PeerSpot reviewer
Harnessing advanced parallelism for top performance while embracing cloud trends
Teradata is primarily used for data warehousing across all customers. My clients have built-in applications that use Teradata, and their use varies from customer to customer, depending on the industry and database size. The primary function is as an OLAP analytical ecosystem Scalability is…
Sarvesh Kumar Jha - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"The initial setup was straightforward."
"The most valuable features are the Shared-nothing architecture and data protection functionality."
"Teradata's capabilities enhance data management efficiency, support scalability, and contribute to faster query performance."
"It effectively has allowed us to remove over 20 portion copies of the data sets on other DB platforms for real-time operational reporting purposes."
"I like writing preformance queries for preprocessing on AWS Cloud."
"The product is reliable."
"The ease of deployment is useful so clients are up and running quickly in comparison to other products."
"I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable."
"I really like the flexibility the solution provides in terms of data transformation."
"Feature-wise, I feel that the solution's stability is good."
"The product is easier to use compared to other applications."
"The customer service and support are pretty good."
"The solution is stable and reliable, with minimal issues affecting its performance."
 

Cons

"Teradata's UI could be more user-friendly."
"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."
"Stability-wise, we have had some issues with automation and the ability to handle large datasets."
"It would help to make scaling easier with a reduced cost. ​"
"Teradata can improve the way it handles big data and unstructured data."
"It could use some more advanced analytics relating to structured and semi-structured data."
"Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve."
"The initial setup is complex because there are a lot of factors that come into play, including the amount of software and applications that require access."
"When you create certain objects, a lot of the time, the fields are text. They’re not numeric, date, or any other field type"
"It is not a very scalable product."
"The visualization techniques must be upgraded."
"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."
 

Pricing and Cost Advice

"It is still a very expensive solution. While I very much like the pure technological supremacy of the software itself, I believe Teradata as a company needs to become more affordable. They are already losing the market to more flexible or cheaper competitors."
"Teradata used to be expensive, but they have been lowering their prices."
"Teradata pricing is fine, and it's competitive with all the legacy models. On a scale of one to five, with one being the worst and five being the best, I'm giving Teradata a three, because it can be a little expensive, when compared to other solutions."
"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."
"Teradata is a very expensive solution."
"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."
"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."
"Make sure you have the in-house skills to design and support the solution, as relying on external sources is extremely costly and tends to lock you into specific platforms, tools, and paradigms."
"The solution is very expensive."
"Based on whatever I have heard, Workday Prism Analytics is considered an expensive tool."
"I do not know of the licensing cost, but there are additional costs like 5,00,000 for recruitment modules."
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Comparison Review

it_user232068 - PeerSpot reviewer
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…
 

Top Industries

By visitors reading reviews
Financial Services Firm
26%
Computer Software Company
10%
Manufacturing Company
7%
Healthcare Company
6%
Financial Services Firm
12%
Healthcare Company
8%
Insurance Company
8%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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,...
What is your experience regarding pricing and costs for Workday Prism Analytics?
Based on whatever I have heard, Workday Prism Analytics is considered an expensive tool. In fact, that has been one of the hindrance factors for Workday in making Prism Analytics more sellable.
What needs improvement with Workday Prism Analytics?
I think there are still some gaps in the solution. There is not much flexibility in how we can add external data within Workday Prisma Analytics. For now, Workday has enabled the SFTP server and Am...
What is your primary use case for Workday Prism Analytics?
As a consultant, I use Prism Analytics to implement my client systems. I first have design sessions with them, where we discuss their business gaps and then understand how Workday Prism Analytics c...
 

Also Known As

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture
Prism Analytics
 

Overview

 

Sample Customers

Netflix
Denny's
Find out what your peers are saying about Teradata vs. Workday Prism Analytics and other solutions. Updated: July 2025.
865,384 professionals have used our research since 2012.