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Pyramid Analytics vs Teradata comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 30, 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

Pyramid Analytics
Ranking in BI (Business Intelligence) Tools
23rd
Average Rating
7.6
Reviews Sentiment
6.4
Number of Reviews
8
Ranking in other categories
Data Visualization (16th)
Teradata
Ranking in BI (Business Intelligence) Tools
13th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
77
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 Pyramid Analytics is 0.9%, up from 0.7% 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
ProductMarket Share (%)
Teradata0.7%
Pyramid Analytics0.9%
Other98.4%
BI (Business Intelligence) Tools
 

Featured Reviews

Shyam Pendyala - PeerSpot reviewer
A comprehensive and user-friendly business intelligence for enhanced data insight
When developing multidimensional IMDS models in Pyramid Analytics, there is a need for better features to maintain and analyze data. The application currently lacks the ability to easily track the original physical table and field names, making it challenging to relate them to business names. It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields. Such features would simplify documentation, facilitate understanding of how calculations depend on physical fields and aid in explaining the development process to others. Having this lineage and easy-to-generate data dictionary would greatly enhance the usability of Pyramid Analytics for developers.
Kirk Robinson - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"Pyramid has a wide level of uses, as it's a complete ETL process and has a good level of connecting to a lot of data sources."
"The most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries."
"I think the most valuable Pyramid Analytics feature is the solution's ability to drill down and dice in the loop. I think it is better than InExcel or Power BI."
"The on-premise version has quite good scalability."
"It proved to be a very powerful and useful tool due to its breakdown capabilities, easy reporting features, flexibility in building custom calculations, and the ability to integrate them into reports."
"It seems quite performant in analyzing multi-dimensional information sets and presenting them."
"It offers a wide range of analytics options including statistics and visualizations, as well as prediction capabilities, allowing users to make forecasts based on the latest data."
"The features I find most valuable are 'Discover,' 'Formulate,' and 'Model.' I use them regularly to build logic and create reports for my job."
"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."
"Teradata has good performance, the response times are very fast. Overall the solution is easy to use. When we do the transformation, we have all of our staging and aggregation data available."
"In Data Lab, you can schedule any testing you want to do in production. You can take a small subset of data from production, copy it there, and run all your tests. It reduces your testing costs because it's all in the lab."
"It is a solid database a lot of different tools to move data."
"​Parallel processing features have helped to easily dump any size of data and retrieve data with great performance."
"The functionality of the solution is excellent."
"The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems."
"Teradata can be deployed on-premise, on the cloud, or in a virtual machine, which means customers can move without having to create their architecture all over again."
 

Cons

"There is room for improvement in terms of documentation and examples, especially for newcomers like me who are learning both business intelligence and Pyramid."
"There is room for improvement in terms of the user interface, particularly when it comes to modifying connections between filters and visual components in a dashboard."
"Pyramid Analytics could improve by speeding up data refresh, especially for large datasets."
"Even though the solution has a functionality for every step, it's not so well- defined. That needs to be improved."
"It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields."
"The general amount of negative comments that I am hearing from my team makes me very wary."
"I find that this is quite a heavy, time-consuming tool for developers."
"I think the graphic number of charts and components could be higher, at least comparable to Brain Power BI."
"I would like more security and speed."
"Apart from Control-M, it would be nice if it could integrate with other tools."
"The setup is not straightforward."
"Teradata is a bit late for the cloud."
"If I want to implement an upgrade, I'd like to see how it will be different. Ideally, Data Lab should help me test production items and also do future things. Future releases should be downloadable and testable in Data Lab."
"Teradata's UI could be improved."
"​Their level of technical support is adequate. It could be better.​"
"It could be a bit more user-friendly."
 

Pricing and Cost Advice

"The licensing cost is not excessively expensive, but it does increase with the addition of new features and modules."
"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."
"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."
"The initial cost may seem high, but the TCO is low."
"​When looking into implementing this product, pricing is the main issue followed by technical expertise​."
"Teradata used to be expensive, but they have been lowering their prices."
"The price of the solution could be reduced, it is expensive."
"I rate the product price a nine on a scale of one to ten, where one is cheap and ten is expensive."
"It's a very expensive product."
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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
12%
Computer Software Company
11%
Government
10%
Manufacturing Company
9%
Financial Services Firm
25%
Computer Software Company
9%
Manufacturing Company
8%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise1
Large Enterprise1
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise12
Large Enterprise49
 

Questions from the Community

What do you like most about Pyramid Analytics?
The most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries.
What is your experience regarding pricing and costs for Pyramid Analytics?
I find the price of Pyramid Analytics to be quite reasonable, especially when compared to other tools in the industry. It is a cost-effective choice, particularly for mid-sized or larger companies ...
What needs improvement with Pyramid Analytics?
Pyramid Analytics could improve by speeding up data refresh, especially for large datasets. While it is currently an in-memory tool, efforts are underway to enhance direct connections to source sys...
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,...
 

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

 

Sample Customers

US Department of Veterans Affair, Volkswagen, Siemens, Blackboard, Hallmark, Orange, CDW, LA Fitness, Atelier GS, Memorial Healthcare, Acadia Insurance, BancoBic, Advanced Learning, Microsoft, Drake University
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