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Informatica PowerCenter vs Upsolver comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Informatica PowerCenter
Ranking in Data Integration
2nd
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
80
Ranking in other categories
Data Visualization (9th)
Upsolver
Ranking in Data Integration
39th
Average Rating
8.6
Reviews Sentiment
7.6
Number of Reviews
2
Ranking in other categories
Streaming Analytics (18th)
 

Mindshare comparison

As of January 2025, in the Data Integration category, the mindshare of Informatica PowerCenter is 11.0%, up from 10.3% compared to the previous year. The mindshare of Upsolver is 0.0%, down from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Lars Borchers - PeerSpot reviewer
A stable and reliable product that provides a variety of features for data integration
The solution is not for newcomers. It has an old touch. The solution must improve the integration with new services. It was part of the program at Informatica when they moved to their cloud platform. It is integrated. However, from an on-premise perspective, we need to buy licenses for PowerExchange. If we want a native driver to access a special service, we need to extend our license to those services. It is expensive. I don't like that it's not all included in the solution.
Kireet Kokala - PeerSpot reviewer
Provides ETL tools with stability at a competitive price
It was easy to use and set up, with a nearly no-code interface that relied mostly on drag-and-drop functionality. Some customization was available, and I attended developer training that allowed me to explore it in more depth. At the time of my evaluation, features like iceberg tables were not present on the platform but are now included based on your current website. It was easier to use than the competition. I liked the real-time ingestion and transformation features. The wizard-based guidance was particularly notable.

Quotes from Members

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

Pros

"The most complex task, in this case, was to read and transform BLOB data, and Java transformation in Informatica Power Center was a great solution."
"If the systems get migrated or upgraded, the amount of resources required are very minimal. We can change the connections and establish a new connection. It's very helpful."
"The technical support is excellent."
"It's very easy to use it to develop mappings and workflows."
"The most valuable feature of Informatica PowerCenter is data transformation and user-friendliness."
"We use Informatica PowerCenter to transfer the transitional database to and from the data warehouse. This is very efficient as it enables us to quickly find our data reports and the data, so we can build AI models."
"In the end, you have structured, proper data for use in an integrated BI solution."
"Error handling capability is quite good in Informatica PowerCenter because it provides a very detailed session log, which is really helpful to identify errors."
"It was easy to use and set up, with a nearly no-code interface that relied mostly on drag-and-drop functionality."
"The most prominent feature of Upsolver is its function as an ETL tool, allowing data to be moved across platforms and different data technologies."
"Customer service is excellent, and I would rate it between eight point five to nine out of ten."
 

Cons

"This product is going to decommission in the next couple of years."
"Requires an established data center because there is no option for software as a service."
"The solution does not scale."
"Integration with Artificial Intelligence would benefit this solution."
"We had to take on a large volume of data from the legacy Sybase system. This was taking a very long time, i.e., more than a day. We were trying to improve it with partitions to gpload, but we were told that we can't go more than four partitions."
"Areas for improvement in Informatica PowerCenter include scalability and high availability or the clustering configuration because that's still very basic. The elasticity or scaling of the platform needs a lot of improvement. For example, when it comes to DR handling or building an active-active or active-passive cluster, Informatica PowerCenter is still not that powerful. Automation also needs improvement in the solution. Improving automation leads to some improvement in the stability of Informatica PowerCenter and other aspects related to it. What I'd like to see in the next release of Informatica PowerCenter is real-time capability because the solution is mainly for patches, and to have real-time integration, you need to count on some additional components from Informatica. I would expect more integration and a complete platform in terms of real-time capability or patching with minimal interventions or minimal components to be aligned together."
"I would like to see improvements made to the custom transformations. It should be more open for users that want to write their own code and use cases."
"If we could have the option of performance improvement within Informatica, and if it could have more features, that would be ideal."
"There is room for improvement in query tuning."
"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."
"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."
 

Pricing and Cost Advice

"We have found the pricing very cost-effective. The licensing is CPU and data source-based."
"Its licensing is expensive in terms of scaling."
"Pricing for Informatica PowerCenter isn't cheap, but if I compare it with IBM, it's as expensive as IBM, however, Informatica PowerCenter is more innovative, especially when compared to a giant company such as IBM that has thousands of products. Informatica PowerCenter is limited only to data management, but it has new features that come out every quarter. Points for ease of use and flexibility go to Informatica PowerCenter, but price-wise, IBM and Informatica are equal because they're both expensive."
"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."
"According to what I've heard and read on various blogs, it's quite expensive when compared to similar competitive products."
"The pricing for Informatica PowerCenter is expensive. Some clients have simple needs and only want to integrate and store data. Some clients have small needs, while some clients have bigger needs and focus more on performance and time. The licensing cost for Informatica PowerCenter isn't good. In my project, if I remember correctly, the company pays €20,000 per year for the Informatica PowerCenter license. I'm not aware of additional costs that you need to pay for some features of the solution. On a scale of one to five, I'm rating its price a three."
"Compared to other tools, I think PowerCenter is a bit expensive. When I compare it to Oracle, if you want to use Oracle databases, you can easily get an ODI tool, so it's easier to handle. Informatica is a standalone tool—it's an independent company—and there are no databases around them, so it's quite expensive to use. Generally, large companies use PowerCenter because of the price. If companies want to expand their usage areas, they try to consider if it's easy to implement and easy to understand the pricing. I think the pricing is a barrier for Informatica."
"I rate the solution's pricing a four out of ten. The price is very high, and it doesn't understand the market now."
"Upsolver is affordable at approximately $225 per terabyte per year."
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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
19%
Computer Software Company
12%
Manufacturing Company
8%
Government
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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?
It was competitively priced and within the customer's budget.
What needs improvement with Upsolver?
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 aggregat...
What is your primary use case for Upsolver?
When I test-drove Upsolver for a consulting company, I used it in POC to stream and ingest data. The goal was to move data from a source, possibly SQL Server, into a destination like Snowflake or R...
 

Also Known As

PowerCenter
No data available
 

Overview

 

Sample Customers

University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
Information Not Available
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