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 #50. Informatica holds a 3.5% mindshare in DI, compared to Qlik’s 0.9% 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

12,512 Views
9,384 Comparison Views

91% willing to recommend

Qlik Compose

Read 12 Qlik Compose reviews

2,138 Views
1,817 Comparison Views

81% willing to recommend

Informatica PowerCenter

Qlik Compose

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

Informatica PowerCenter and Qlik Compose are competitive products in the data integration and management category. Qlik Compose often seems superior due to its modern features and perceived value for the price.

Features: Informatica PowerCenter offers advanced data transformation, extensive integration capabilities, and scalability, making it suitable for complex enterprise environments. Qlik Compose facilitates automation, provides an intuitive approach for ETL processes, and offers data modeling and code generation features.

Room for Improvement: Informatica PowerCenter could enhance user-friendliness, simplify deployment, and reduce complexity in maintenance. Qlik Compose could improve data integration completeness, documentation quality, and extend support for legacy systems.

Ease of Deployment and Customer Service: Informatica PowerCenter involves a complex deployment process and requires significant technical expertise, but its support is comprehensive. Qlik Compose offers a straightforward deployment model, focusing on simplicity and efficiency, with support services that complement its easy integration setup.

Pricing and ROI: Informatica PowerCenter involves a higher initial cost with potential substantial ROI for intricate transformations, while Qlik Compose offers a cost-effective option with lower initial costs and quicker ROI due to its efficient processes.

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

Buyer's Guide

Informatica PowerCenter vs. Qlik Compose

April 2026

Download the complete report

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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 (13th)

Qlik Compose

Ranking in Data Integration

50th

Average Rating

7.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2026, in the Data Integration category, the mindshare of Informatica PowerCenter is 3.5%, down from 9.1% compared to the previous year. The mindshare of Qlik Compose is 0.9%, 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	3.5%
Qlik Compose	0.9%
Other	95.6%

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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Sahil Taneja

Principal Consultant/Manager at Tenzing

Easy matching and reconciliation of data

The initial setup was easy for the data warehousing concept. But for a person who is new to ETL and warehousing concepts, it may take some time. If someone is familiar with these concepts, they could understand and learn the tool quickly. However, compared to other tools, the UI is complex. It would be helpful to have a better UI and documentation for new users. As of now, there is a challenge in learning the Compose tool for new users altogether. Qlik Compose was deployed on-premises. But the servers, like the SQL servers were maintained on the cloud—the managed instances.

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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 partitioning and optimization to help enhance our development is a very valuable aspect of Informatica PowerCenter."

"What I like most about Informatica PowerCenter is that it's the best tool in the market for data integration."

"The technical design developed in Excel can be directly imported into Powercenter using Powercenter Repository Manager and the corresponding mapping is automatically created."

"Informatica PowerCenter is worth the money to use for its benefits."

"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."

"Good product if you are trying implement data quality, data integration, and data management projects."

"Informatica PowerCenter has been implementing mapping design, data flow, and workflow execution for years."

"Easy, scalable, robust platform to integrate heterogeneous source platform's data into the unified data warehouse."

More Informatica PowerCenter pros

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

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

"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."

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

"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."

"It's a stable solution."

"It can scale."

More Qlik Compose pros

Cons

"With all these no code/low code platforms, Informatica still forces us to use the ANSI format of SQL for joins, especially left outer join."

"It works stably but needs a dedicated professional admin in the project team."

"The pricing could be improved."

"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."

"This solution needs the functionality to do batch processing of data. It also lacks connectivity to NoSQL, unstructured data sources."

"The real-time database connectivity when getting the real-time data using the VPN is an area that needs improvement."

"They should release new versions for the solution's on-premises setup."

"Areas for improvement in Informatica PowerCenter include scalability and high availability or the clustering configuration because that's still very basic."

More Informatica PowerCenter cons

"There should be proper documentation available for the implementation process."

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

"There could be more customization options."

"Qlik's ETL and data transformation could be better."

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

"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."

"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."

"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."

More Qlik Compose cons

Pricing and Cost Advice

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

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

"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 solution is in the middle price range compared to other solutions."

"I rate the solution's pricing a four out of ten. The price is very high, and it doesn't understand the market now."

"I am not sure about the most recent price, but I think it should be $100,000 or more."

"I consider this to be an expensive product."

"Its maintenance is expensive."

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."

"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."

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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

17%

Manufacturing Company

Computer Software Company

Government

Financial Services Firm

12%

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	74

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...

See all answers

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...

See all answers

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 6% of the time

Oracle Data Integrator (ODI) 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 11% of the time

Qlik Talend Cloud vs Qlik Compose

Compared 9% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Compose

Compared 8% of the time

WhereScape RED vs Qlik Compose

Compared 7% of the time

dbt vs Qlik Compose

Compared 3% of the time

More Qlik Compose Competitors

Product Reports

Buyer's Guide

Informatica PowerCenter

May 2026

Download Informatica PowerCenter product report

Buyer's Guide

Qlik Compose

April 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

April 2026

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