Informatica PowerCenter vs Qlik Compose comparison

Informatica and Qlik are both solutions in the Data Integration category. Informatica is ranked #3 with an average rating of 8.3, while Qlik is ranked #49. 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

13,353 Views
10,015 Comparison Views

91% willing to recommend

Qlik Compose

Read 12 Qlik Compose reviews

2,319 Views
1,948 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: June 2026).

Buyer's Guide

Informatica PowerCenter vs. Qlik Compose

June 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

3rd

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Visualization (11th)

Qlik Compose

Ranking in Data Integration

49th

Average Rating

7.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of Informatica PowerCenter is 3.4%, down from 8.6% 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

"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."

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

"Informatica PowerCenter is very good for integrating a huge amount of data in a very short duration, such as a minute. It is also very easy to use. After you provide the source and the target, mappings are automatically done, which makes it easy to use for the development team."

"The most valuable feature is the new Data Lake feature, which provides the basic capabilities needed."

"Informatica PowerCenter is a very good ETL tool."

"It is very easy to use it to develop mappings and workflows."

"In summary, this is a good tool and I definitely recommend it."

"UI-based ability to create data mapping."

More Informatica PowerCenter pros

"Qlik Compose is good enough. It is user-friendly and intuitive."

"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."

"One of the most valuable features was the ability to integrate multiple source systems that mainly used structured IDBMS versions."

"It can scale."

"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."

"It is a scalable solution."

"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."

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

More Qlik Compose pros

Cons

"I would like to see an improvement in the digital adoption. It would be nice if they could be cheaper, because the training is very expensive as they do everything online."

"GUI: Lack of clarity and consistency created problems for our staff."

"The licensing is difficult."

"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."

"The reputation of Informatica is that it is expensive."

"Its licensing can be improved. It should be features-wise and not bundle-wise."

"Integration with Artificial Intelligence would benefit this solution."

"Support could be better."

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."

"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."

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

"My issues with the solution's stability are owing to the fact that it has certain bugs causing issues in some functionalities that should be working."

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

"When processing data from certain tables with a large volume of data, we encounter significant delays. For instance, when dealing with around one million records, it typically takes three to four hours. To address this, I aim to implement performance improvements across all tables, ensuring swift processing similar to those that are currently complete within seconds. The performance issue primarily arises when we analyze the inserts and updates from the source, subsequently dropping the table. While new insertions are handled promptly, updates are processed slowly, leading to performance issues. Despite consulting our Qlik vendors, they were unable to pinpoint the exact cause of this occurrence. Consequently, I am seeking ways to optimize performance within Qlik Compose, specifically concerning updates."

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

More Qlik Compose cons

Pricing and Cost Advice

"I consider this to be an expensive product."

"The licensing fees are paid on a yearly basis."

"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."

"Licensing is a one time cost. But maintenance costs depend on what you want, how long you need it. Maintenance is a kind of insurance. With health insurance, you don't know whether you will get sick or need to go to hospital or not but you have to have insurance. It's the same thing with support. If you have that expertise in resolving issues, if you have enough experience in your IT department, I would say you don't need the support. But in practice, they recommend you go with the support. If you want support you have to pay for it."

"Our customers pay a licensing fee yearly."

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

"We are satisfied with the pricing."

"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."

More Informatica PowerCenter pricing and cost advice

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

"The price of the solution is expensive."

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

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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

16%

Manufacturing Company

Computer Software Company

Government

Financial Services Firm

13%

Government

11%

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	15
Midsize Enterprise	11
Large Enterprise	75

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

Oracle Data Integrator (ODI) vs Informatica PowerCenter

Compared 5% of the time

WhereScape RED vs Informatica PowerCenter

Compared 5% of the time

SSIS vs Informatica PowerCenter

Compared 5% 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

Qlik Talend Cloud vs Qlik Compose

Compared 8% of the time

WhereScape RED vs Qlik Compose

Compared 6% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Compose

Compared 6% of the time

SSIS vs Qlik Compose

Compared 6% of the time

More Qlik Compose Competitors

Product Reports

Buyer's Guide

Informatica PowerCenter

June 2026

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Buyer's Guide

Qlik Compose

June 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

June 2026

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