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Informatica PowerCenter vs Pyramid Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 1, 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

Informatica PowerCenter
Ranking in Data Visualization
11th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
83
Ranking in other categories
Data Integration (4th)
Pyramid Analytics
Ranking in Data Visualization
16th
Average Rating
7.6
Reviews Sentiment
6.4
Number of Reviews
8
Ranking in other categories
BI (Business Intelligence) Tools (23rd)
 

Mindshare comparison

As of October 2025, in the Data Visualization category, the mindshare of Informatica PowerCenter is 1.4%, down from 1.9% compared to the previous year. The mindshare of Pyramid Analytics is 1.8%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Market Share Distribution
ProductMarket Share (%)
Informatica PowerCenter1.4%
Pyramid Analytics1.8%
Other96.8%
Data Visualization
 

Featured Reviews

Garima Goel - PeerSpot reviewer
Has supported complex data pipeline creation but performance tuning and monitoring responsiveness need improvement
Sometimes, I see various performance issues with Informatica PowerCenter, including caching concerns, whether it's a joiner transformation or other transformations, so I believe the team can enhance the performance perspectives of these transformations. Additionally, sometimes the Informatica Monitor hangs or takes time to open the current run or logs, which the team can also look into. Informatica is transitioning to cloud solutions and discontinuing on-premise support after 2026, so when we discuss Informatica Cloud and its support, it becomes quite expensive for the organization compared to peers such as SnapLogic or Netezza, which offer lower pricing. Informatica Cloud Intelligence's pricing is notably high.
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.

Quotes from Members

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

Pros

"It's a very powerful tool you can use to load data, get data, do the drawing between the tables, and put into the packet in a very fast way."
"It has good standard features for ETL development."
"It has very good monitoring and process monitoring."
"Has a good visual tool for data mapping."
"In the end, you have structured, proper data for use in an integrated BI solution."
"UI-based ability to create data mapping."
"Once you figure it out, it is a powerful and simple ETL tool. Its stability has been very satisfactory."
"Reusable definition of data sources and the out-of-the-box availability of a large number maplets for common transformation functions."
"The on-premise version has quite good scalability."
"The most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries."
"It seems quite performant in analyzing multi-dimensional information sets and presenting them."
"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 features I find most valuable are 'Discover,' 'Formulate,' and 'Model.' I use them regularly to build logic and create reports for my job."
"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."
"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."
"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."
 

Cons

"The multiple interfaces in Informatica PowerCenter are not great for the user experience. Because of this, I think it can cause confusion for any beginner developer."
"While Informatica is great for data-integration, it does not have any analytics features. Thus, organizations have to always look for another product for their BI needs."
"Informatica is transitioning to cloud solutions and discontinuing on-premise support after 2026, so when we discuss Informatica Cloud and its support, it becomes quite expensive for the organization compared to peers such as SnapLogic or Netezza, which offer lower pricing."
"Some of the conversions are done inside the product. We use work tables that are created by the engine itself, but the names of the work tables are very long, and they don't have any meaning, which makes it a bit difficult to understand and follow exactly what is happening inside."
"There is some room for improvement in terms of pricing."
"PowerCenter could integrate better with cloud applications. We had to do a lot of configuration work using API integrations to connect with cloud applications. Informatica Cloud Data Integration has a generic connector that you can use directly, so it's much easier."
"The solution must improve the integration with new services."
"Informatica PowerCenter is outdated and would benefit from modernization. They should have a very good migration strategy from Informatica PowerCenter to AACF. Informatica PowerCenter there is no point in using it, you have to use a cloud version."
"I think the graphic number of charts and components could be higher, at least comparable to Brain Power BI."
"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."
"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."
"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."
"There is room for improvement in terms of documentation and examples, especially for newcomers like me who are learning both business intelligence and Pyramid."
 

Pricing and Cost Advice

"The price could be better. It's very expensive. On a scale from one to five, I would give Informatica PowerCenter's price a one."
"We are satisfied with the pricing."
"A basic setup can be from $100,000 and up annually."
"Its maintenance is expensive."
"Cost could be improved."
"The pricing is a little expensive, but in the same range as IBM and other competitors."
"Our customers pay a licensing fee yearly."
"Licensing costs are excessive and pose an obstacle to someone who lacks familiarity with the solution and wishes to have a proper understanding of it."
"The licensing cost is not excessively expensive, but it does increase with the addition of new features and modules."
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Comparison Review

it_user90069 - PeerSpot reviewer
Feb 20, 2014
Informatica PowerCenter vs. Microsoft SSIS - each technology has its advantages but also have similarities
Technology has made it easier for businesses to organize and manipulate data to get a clearer picture of what’s going on with their business. Notably, ETL tools have made managing huge amounts of data significantly easier and faster, boosting many organizations’ business intelligence operations…
 

Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
10%
Manufacturing Company
8%
Insurance Company
7%
Financial Services Firm
12%
Computer Software Company
11%
Government
10%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business15
Midsize Enterprise10
Large Enterprise72
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise1
Large Enterprise1
 

Questions from the Community

How does Azure Data Factory compare with Informatica PowerCenter?
Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...
Which is better - SSIS or Informatica PowerCenter?
SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called SSIS. The collection helps organizations boost productivity with code-free compo...
Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...
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...
 

Also Known As

PowerCenter
No data available
 

Overview

 

Sample Customers

University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
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
Find out what your peers are saying about Informatica PowerCenter vs. Pyramid Analytics and other solutions. Updated: September 2025.
870,701 professionals have used our research since 2012.