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Informatica PowerCenter vs Upsolver comparison

 

Comparison Buyer's Guide

Executive Summary

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 Integration
4th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
84
Ranking in other categories
Data Visualization (12th)
Upsolver
Ranking in Data Integration
37th
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
3
Ranking in other categories
Streaming Analytics (21st)
 

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of Informatica PowerCenter is 3.2%, down from 9.6% compared to the previous year. The mindshare of Upsolver is 0.7%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Informatica PowerCenter3.2%
Upsolver0.7%
Other96.1%
Data Integration
 

Featured Reviews

Garima Goel - PeerSpot reviewer
Associate Principal Engineer at Nagarro
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.
reviewer2784462 - PeerSpot reviewer
Software Engineer at a tech vendor with 10,001+ employees
Streaming pipelines have become simpler and onboarding new data sources is now much faster
One of the best features Upsolver offers is the automatic schema evolution. Another good feature is SQL-based streaming transformations. Complex streaming transformations such as cleansing, deduplication, and enrichment were implemented using SQL and drastically reduced the need for custom Spark code. My experience with the SQL-based streaming transformations in Upsolver is that it had a significant positive impact on the overall data engineering workflow. By replacing custom Spark streaming jobs with declarative SQL logic, I simplified development, review, and deployment processes. Data transformations such as parsing, filtering, enrichment, and deduplication could be implemented and modified quickly without rebuilding or redeploying complex code-based pipelines. Upsolver has impacted my organization positively because it brings many benefits. The first one is faster onboarding of new data sources. Another one is more reliable streaming pipelines. Another one is near-real-time data availability, which is very important for us. It also reduced operational effort for data engineering teams. A specific outcome that highlights these benefits is that the time to onboard new sources is reduced from weeks to days. Custom Spark code reduction reached 50 to 40 percent. Pipeline failures are reduced by 70 to 80 percent. Data latency is improved from hours to minutes.

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 features are the monitoring tools and the reporting manager."
"Deployment was simple and straightforward."
"The most valuable features are the metadata repository and the data warehouse application console."
"I would recommend that others considering the solution go ahead and use it for any batch and high volume loads with complex transactions."
"It has a Data Catalog that uses the Model repository."
"It's very easy to use it to develop mappings and workflows."
"The partitioning and optimization to help enhance our development is a very valuable aspect of Informatica PowerCenter."
"It's a complete package, which is why we use this solution."
"It was easy to use and set up, with a nearly no-code interface that relied mostly on drag-and-drop functionality."
"A specific outcome that highlights these benefits is that the time to onboard new sources is reduced from weeks to days, custom Spark code reduction reached 50 to 40 percent, pipeline failures are reduced by 70 to 80 percent, and data latency is improved from hours to minutes."
"Customer service is excellent, and I would rate it between eight point five to nine out of ten."
"The most prominent feature of Upsolver is its function as an ETL tool, allowing data to be moved across platforms and different data technologies."
 

Cons

"Its interface can be modernized. It is an old product. I have been working with it for 14 years, and it still looks the same. It hasn't been modernized much. It also needs to handle more modern formats, such as JSON files. It works with the old text files and databases, but it does not always work with the newer, modern stuff. You need to make your own programs to support that kind of stuff. Support is also a kind of difficult with Informatica. They don't do direct support and rely on using their distributors around the globe for support, which means that you kind of have to go through this layer of different companies before you get help."
"The price of the product is an area of concern where improvements are required, considering the fact that the present licensing charges of the tool are expensive."
"The documentation could be improved."
"There are three areas where they can make a significant improvement: Live feeds, where if a database object changes then object definitions should automatically get refreshed as well."
"The solution could have better documentation on basic steps or blocks that specify what to do."
"Informatica PowerCenter can be improved by integrating features that allow scheduling a workflow more easily on the main window itself, and also, I miss the ability to connect to several repositories at the same time; if that's possible, it would be very handy."
"We need another tool for monitoring. It would be easier if all the features were consolidated into one tool."
"The reputation of Informatica is that it is expensive."
"Upsolver excels in ETL and data aggregation, while ThoughtSpot is strong in natural language processing for querying datasets. Combining these tools can be very effective: Upsolver handles aggregation and ETL, and ThoughtSpot allows for natural language queries. There’s potential for highlighting these integrations in the future."
"On the stability side, I would rate it seven out of ten. Using multiple cloud providers and data engineering technologies creates complexity, and managing different plugins is not always easy, but they are working on it."
"I think that Upsolver can be improved in orchestration because it is not a full orchestration tool."
"There is room for improvement in query tuning."
 

Pricing and Cost Advice

"The solution is in the middle price range compared to other solutions."
"Price-wise, it's more expensive than SSIS, but it's a better tool, so it has more features. Licensing is on a yearly basis."
"Since the solution's cost is higher, I rate the pricing as a five out of ten."
"The price is mostly reasonable."
"The license model is CPU based."
"We are using an annual license for Informatica PowerCenter."
"We have a site license, but we do pay by the division."
"I consider this to be an expensive product."
"Upsolver is affordable at approximately $225 per terabyte per year."
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Comparison Review

it_user90069 - PeerSpot reviewer
BI Expert at a healthcare company with 1,001-5,000 employees
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
17%
Computer Software Company
8%
Manufacturing Company
8%
Government
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business15
Midsize Enterprise11
Large Enterprise73
No data available
 

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 is your experience regarding pricing and costs for Upsolver?
My experience with pricing, setup cost, and licensing was a very good experience, but it is not a direct experience because it was not my responsibility. It was in charge of the customer. However, ...
What needs improvement with Upsolver?
I think that Upsolver can be improved in orchestration because it is not a full orchestration tool. I believe it could be better in this regard. The cost needs attention at a very large scale. I th...
What is your primary use case for Upsolver?
My main use case for Upsolver is during an IT consulting project for a large enterprise running a cloud-native data platform on AWS. I used Upsolver to ingest and process high-volume stream data fr...
 

Also Known As

PowerCenter
No data available
 

Overview

 

Sample Customers

University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
Information Not Available
Find out what your peers are saying about Informatica PowerCenter vs. Upsolver and other solutions. Updated: March 2026.
884,873 professionals have used our research since 2012.