Informatica PowerCenter vs Qlik Compose comparison

Informatica and Qlik are both solutions in the Data Integration category. Informatica is ranked #4 with an average rating of 8.4, while Qlik is ranked #52. Informatica holds a 3.4% mindshare in DI, compared to Qlik’s 0.8% mindshare. Additionally, 91% of Informatica users are willing to recommend the solution, compared to 81% of Qlik users who would recommend it.

Informatica PowerCenter

Read 85 Informatica PowerCenter reviews

14,514 Views
10,886 Comparison Views

91% willing to recommend

Qlik Compose

Read 12 Qlik Compose reviews

2,621 Views
2,123 Comparison Views

81% willing to recommend

Informatica PowerCenter

Qlik Compose

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 3, 2026

Informatica PowerCenter and Qlik Compose both compete in the data integration space. While Informatica PowerCenter is known for its robust data transformation depth, Qlik Compose is appreciated for its user-friendly data modeling features.

Features: Informatica PowerCenter offers extensive data transformation capabilities, integration flexibility, and is known for its stability and scalability. Qlik Compose provides efficient data modeling, automation features, and robust data management solutions.

Room for Improvement: Informatica PowerCenter can improve its cloud integration, API support, and cost structure. In contrast, Qlik Compose could enhance its monitoring and scheduling features, visual data management, and ETL functionalities.

Ease of Deployment and Customer Service: Informatica PowerCenter is primarily on-premises, with customer support being responsive but occasionally slow through distributors. Qlik Compose offers varied deployment options but faces challenges with current deployment complexity and integration, though users benefit from substantial online resources for support.

Pricing and ROI: Informatica PowerCenter is known for its high cost, justified by substantial ROI in large enterprises. Qlik Compose offers more competitive pricing with variability based on data volume, yet users see room for improvement in deal structures for corporate clients.

To learn more, read our detailed Informatica PowerCenter vs. Qlik Compose Report (Updated: August 2026).

Buyer's Guide

Informatica PowerCenter vs. Qlik Compose

August 2026

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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

Ranking in other categories

Data Visualization (13th)

Qlik Compose

Ranking in Data Integration

52nd

Average Rating

7.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2026, in the Data Integration category, the mindshare of Informatica PowerCenter is 3.4%, down from 7.8% compared to the previous year. The mindshare of Qlik Compose is 0.8%, down from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Informatica PowerCenter	3.4%
Qlik Compose	0.8%
Other	95.8%

Data Integration

Featured Reviews

Garima Goel

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.

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Susheel A

Director - Metrics & Analytics at a computer software company with 1,001-5,000 employees

Efficient data warehouse automation with robust features, but may require enhancements in user-friendly self-service options and pricing flexibility for broader corporate appeal

It could enhance its capabilities in the realm of self-service options as currently, it is more suited for individuals with technical proficiency who can create pages using it. When it comes to end users who may lack technical expertise, they are limited to toggling between existing developments. To empower end users to make critical changes without relying heavily on technical expertise, it would be beneficial to introduce more user-friendly features for development and modification. If it could incorporate correlation analysis capabilities into its platform, especially in a user-friendly manner, it would greatly enhance the tool's overall utility and make it an even more outstanding solution. There is a room for improvement regarding stability.

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Quotes from Members

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

Pros

"It is UI friendly and has all the advantages of an ETL tool."

"Informatica PowerCenter is one of the most used platforms for data governance in the banking and insurance industry."

"The return on investment is very good, as I previously mentioned, because the development team has been reduced to half, and it has saved us around one hour per day since we switched to Informatica PowerCenter."

"The most valuable feature of Informatica PowerCenter is the flow designer functionally. It is the best out of any ETL tool. Additionally, the solution is reliable and trustable in dealing with large data sources anytime. When we're using billions of data transactions, it's smooth."

"It has good standard features for ETL development."

"The reliability of the product and the way of orchestration of different services is valuable to us."

"It's a very powerful tool you can use to load data, get data, do the drawing between the tables, and put it into the packet in a very fast way."

"The performance and design of Informatica have been very valuable, and I find the performance faster than, say, Oracle Data Integrator or DataStage."

More Informatica PowerCenter pros

"It can scale."

"I have found it to be a very good, stable, and strong product."

"The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities."

"I like modeling and code generation. It has become a pretty handy tool because of its short ideation to delivery time. From the time you decide you are modeling a data warehouse, and once you finish the modeling, it generates all the code, generates all the tables. All you have to do is tick a few things, and you can produce a fully functional warehouse. I also like that they have added all the features I have asked for over four years."

"The technical support is very good. I rate the technical support a ten out of ten."

"As long as you pick the solution that best fits with your requirements, you won't find that performance is a problem. It's good."

"There were many valuable features, such as extracting any data to put in the cloud. For example, Qlik was able to gather data from SAP and extract SAP data from the platforms."

"One of the most valuable features of this tool is its automation capabilities, allowing us to design the warehouse in an automated manner. Additionally, we can generate Data Lifecycle Policies (DLP) reports and efficiently implement updates and best practices based on proven design patterns."

More Qlik Compose pros

Cons

"Informatica, in my opinion, is very rigid and not very flexible, whereas platforms like Alteryx or Matillion are very flexible and agile."

"The only problem is that it is moderately expensive, which is essential to emphasize."

"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."

"Informatica PowerCenter could improve on the documentation for the implementation. The documents provided are not very good for a new user."

"The initial setup was complex. There were many performance problems and some migrations took a long time to be implemented."

"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."

"PowerCenter could be improved by having more big data components. Normally, we prefer Informatica as a relational database, but nowadays, companies are trying to understand and use big data components. I think it would be useful if we had more chances to create a hub ecosystem because customers try to use some data integration tasks by SQL, Spark and Spark codes, and Scala, but at the end of the day, the company will understand that we need to trace all the steps. An ETL tool is a must for that company, if we're talking about the regulated industries like finance, telcos, etc. If Informatica's biggest ecosystems feature were okay, I would prefer to use it."

"Integrated Reporting service should be more smoothly transitioned from view to function to be in sync with the main design."

More Informatica PowerCenter cons

"It would be better if the first level of technical support were a bit more technically knowledgeable to solve the problem. I think they could also improve the injection of custom scripts. It is pretty difficult to add additional scripts. If the modeling doesn't give you what you want, and you want to change the script generated by the modeling, it is a bit more challenging than in most other products. It is very good with standard form type systems, but if you get a more complicated data paradigm, it tends to struggle with transforming that into a model."

"It could enhance its capabilities in the realm of self-service options as currently, it is more suited for individuals with technical proficiency who can create pages using it."

"I'd like to have access to more developer training materials."

"There is some scope for improvement around the documentation, and a better UI would definitely help."

"I believe that visual data flow management and the transformation function should be improved."

"There could be more customization options."

"For more complex work, we are not using Qlik Compose because it cannot handle very high volumes at the moment. It needs the same batching capabilities that other ETL tools have. We can't batch the data into small chunks when transforming large amounts of data. It tries to do everything in one shot and that's where it fails."

"The solution has room for improvement in the ETL. They have an ETL, but when it comes to the monitoring portion, Qlik Compose doesn't provide a feature for monitoring."

More Qlik Compose cons

Pricing and Cost Advice

"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."

"It is for big enterprises. We have leveraged Informatica for big enterprises but not for small and medium enterprises because it is a very costly product as compared to other products. We propose this solution only for enterprise customers. For small to medium enterprises, we would propose the Microsoft solution. Its licensing is currently bundle-wise. It should be features-wise and not bundle-wise."

"We have found the pricing very cost-effective. The licensing is CPU and data source-based."

"We are using an annual license for Informatica PowerCenter."

"The price of Informatica PowerCenter is expensive, but it does give value."

"Our client has purchased the license, and we are using it."

"We are satisfied with the pricing."

"The license model is CPU based."

More Informatica PowerCenter pricing and cost advice

"On a scale of one to ten, where one is cheap, and ten is very expensive, I rate the solution a six."

"The price of the solution is expensive."

"While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us."

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Comparison Review

it_user90069

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…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

Government

Insurance Company

Financial Services Firm

13%

Comms Service Provider

10%

Construction Company

10%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	14
Midsize Enterprise	11
Large Enterprise	76

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	3
Large Enterprise	6

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...

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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...

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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...

See all answers

Which ETL tool would you recommend to populate data from OLTP to OLAP?

There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cu...

See all answers

Comparisons

Informatica Intelligent Data Management Cloud (IDMC) vs Informatica PowerCenter

Compared 7% of the time

WhereScape RED vs Informatica PowerCenter

Compared 5% of the time

Oracle Data Integrator (ODI) vs Informatica PowerCenter

Compared 5% of the time

SSIS vs Informatica PowerCenter

Compared 4% of the time

SAS Data Management vs Informatica PowerCenter

Compared 4% of the time

More Informatica PowerCenter Competitors

Qlik Replicate vs Qlik Compose

Compared 10% of the time

AWS Database Migration Service vs Qlik Compose

Compared 9% of the time

SSIS vs Qlik Compose

Compared 8% of the time

Qlik Talend Cloud vs Qlik Compose

Compared 8% of the time

WhereScape RED vs Qlik Compose

Compared 6% of the time

More Qlik Compose Competitors

Product Reports

Buyer's Guide

Informatica PowerCenter

August 2026

Download Informatica PowerCenter product report

Buyer's Guide

Qlik Compose

July 2026

Download Qlik Compose product report

Also Known As

PowerCenter

Compose, Attunity Compose

Overview

Informatica PowerCenter is known for its robust data integration, scalability, and user-friendly interfaces. It simplifies data processing with real-time capabilities, handling large datasets efficiently. Its adaptability with diverse sources makes it suitable for complex data environments.

Informatica PowerCenter offers extensive transformation options with features like flow designer, mapping, and error handling, enhancing development efficiency. Its GUI interface allows seamless integration across different platforms, making it suitable for managing extensive datasets. Traceability and support cater to evolving data requirements, while adaptability with multiple sources aids in driving strategic data outputs. Some areas for improvement include a more robust cloud strategy, better documentation, and improved API integrations. Enhanced automation and setup processes could further refine the experience.

What are the key features of Informatica PowerCenter?

Data Integration: Facilitates robust data handling across numerous platforms.
Real-Time Processing: Manages data workflows efficiently in real-time.
Transformation Options: Provides extensive options for data mapping and manipulation.
Error Handling: Enhances development through efficient error management.
Scalability: Supports growing data needs with adaptability across diverse systems.

What benefits should users look for?

Scalability: Supports growth with efficient data management and integration.
Efficiency: Offers user-friendly interfaces for streamlined workflows.
Support: Provides traceability and comprehensive support for large data handling.
Adaptability: Integrates seamlessly with various data platforms, enhancing flexibility.
Future-Preparedness: Ready for transition to cloud environments for better scalability.

Informatica PowerCenter plays a vital role in data integration and ETL processes for building data warehouses. Industries like banking, insurance, and healthcare utilize it for extracting, transforming, and loading data into target systems, supporting analytics, reporting, and compliance. Companies often transition to cloud environments for enhanced scalability and efficiency.

Informatica

Qlik Compose enhances data management with ETL capabilities, data integration with CDC, and real-time replication. Its intuitive interface enables easy data modeling and automation, supporting various database integrations.

Qlik Compose is designed for efficient data preparation, migration, and warehouse generation. It incorporates ETL functionalities and data integration with CDC, allowing users to effortlessly create data marts without code. Its automation features facilitate warehouse design while graphical representations and connectivity options increase versatility across multiple sources. Users value its stability, scalability, and the support provided, although improvements in ETL functionalities, performance for large datasets, and NoSQL integration are needed. The solution is widely used in business intelligence with tools like Qlik Replicate for real-time data replication and requires direct SQL for complex transformations.

What are the key features of Qlik Compose?

ETL Capabilities: Simplifies data extraction, transformation, and loading
Data Integration with CDC: Enables real-time data replication
Intuitive Interface: Facilitates easy data modeling and automation
Drag-and-Drop Functionality: Streamlines data task management
Auto-Mapping: Enhances integration of multiple data sources
No-Code Data Marts Creation: Reduces dependency on technical skills

What benefits should users consider in the reviews?

Stability and Scalability: Reliable functioning for growing data needs
Technical Support: Availability of assistance for troubleshooting
Real-Time Replication Capabilities: Efficient data processing and analytics
Low-Code Development: Simplifies complex data handling processes

In industries, Qlik Compose is implemented for enhancing data preparation, migration, and warehousing. It is used in small projects or straightforward data integration tasks and supports business intelligence efforts by offering low-code capabilities, enabling companies to deliver tailored analytics solutions efficiently.

Qlik

Sample Customers

University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank

Poly-Wood

Buyer's Guide

Informatica PowerCenter vs. Qlik Compose

August 2026

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