Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Compose comparison

Informatica Intelligent Data Management Cloud (IDMC) vs. Qlik Compose

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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 Intelligent Dat...

Ranking in Data Integration

1st

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

215

Ranking in other categories

Data Quality (1st), Business Process Management (BPM) (9th), Business-to-Business Middleware (4th), API Management (18th), Cloud Data Integration (4th), Data Governance (3rd), Test Data Management (4th), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (5th), Test Data Management Services (5th), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (3rd)

Qlik Compose

Ranking in Data Integration

58th

Average Rating

7.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.8%, down from 4.1% compared to the previous year. The mindshare of Qlik Compose is 0.8%, down from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Informatica Intelligent Data Management Cloud (IDMC)	3.8%
Qlik Compose	0.8%
Other	95.4%

Data Integration

Featured Reviews

Raymond Croxford

Contractor at Sanlam

Cloud data catalog has streamlined lineage and quality while leaving more automation to improve

I have not explored IDMC's automation capabilities driven by AI and metadata too much at the moment, but it is on the cards. We are basically creating the foundation, as the whole migration has taken place recently and it is still early days. I think Informatica Intelligent Data Management Cloud (IDMC) is evolving, and as the vendors move forward, they pick up new concepts from each other. I have seen that products leapfrog each other, and from my experience over the years, the big players tend to copy features or add enhancements based on industry trends. I feel whatever the tool does not have now, there is a feedback loop allowing us to request new features, and we continually ask for different ways to do things as we have a pipeline into the product management team. It is difficult to say what additional features I would prefer to see in the next release of IDMC. I would appreciate more automation on the lineage front, with more AI to seamlessly join independent sources and create seamless lineage between different technologies, such as from file into database A into a different database and landing up in a reporting system such as Cognos, Qlik, Qlik Sense, QlikView, or Power BI.

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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 serverless capability and the packaging application of the solution are valuable."

"The profiling features are much better than the on-premise version."

"What I do appreciate about the cloud is the transparent update cycles with minimal downtime, all managed within the cloud environment, which definitely provides a better user experience."

"The features I find most valuable is the synchronization, verification, functionalities and all the data integration features."

"Data integration is the most valuable feature. The ability to connect to any of the sources and enterprise applications makes our lives easier."

"The product's most valuable feature is the ability to select the data flow and lineage."

"We primarily used Cloud Data Profiling to connect with Cloud Data Governance, a tool also used by Teva. This integration allowed users to access data quality results within the data governance catalog."

"The most valuable feature is the building of mockups and tasks."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"It's a stable solution."

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

"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."

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

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

"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."

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

"It is a scalable solution."

More Qlik Compose pros

Cons

"It could be improved by including a buffer that saves data when there is a connectivity issue."

"Its look and feel needs improvement. It has a lousy look and feel. Informatica PIM is designed specifically for the retail industry. They need to make sure that it is also applicable to all the other industries and verticals."

"There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny."

"Synchronicity is an area for improvement in Informatica Intelligent Cloud Services. For example, when you want real-time or immediate response from the solution when multiple technologies are involved, the integration with Informatica Intelligent Cloud isn't seamless, whether it's the MQ, JMS, or BES service, so the connectivity should be improved a bit. The data governance is good, but what's lacking is a demo. For example, if there's a new feature in Informatica Intelligent Cloud Services, the documentation for that new feature is limited, so if Informatica could give a more complete documentation and more demos, that would be better for the users. Right now, there isn't any issue with any of the features of the solution. It's the new feature awareness or user training, and improved connectivity that I'd like to see in the next version of Informatica Intelligent Cloud Services."

"I remember when I used it, there was some limitation in one of the data quality dimensions. I was not able to perform certain tasks on the cloud version, even though I could do them on the data center version."

"Permissions, scalability, and connection with other informatic tools are the main areas that need development. Integration with other tools, such as IDQ, is challenging. The management of data discovery is highly challenging because many data points have identical definitions."

"Support response time could be better."

"The user interface could be more user friendly with a simplified mapping task."

More Informatica Intelligent Data Management Cloud (IDMC) cons

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

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

"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."

"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."

"There could be more customization options."

"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."

"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."

"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

"I have no idea what the price actually is. It is probably not going to be the cheapest, but it is a pretty stable and robust platform from the backend standpoint."

"Pricing is determined by the number of licensed users as well as the number of Core CPUs."

"The licenses attached to the solution are highly priced."

"I have heard from customers that the product comes with a huge license cost."

"The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."

"We have licenses, and we are provided with certain particular services in the solution."

"I rate the product's price a seven on a scale of one to ten, where one is the cheapest and ten is the most expensive. The product is a bit expensive."

"I rate the licensing cost of Informatica MDM a five out of ten."

More Informatica Intelligent Data Management Cloud (IDMC) 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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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Manufacturing Company

10%

Outsourcing Company

Construction Company

Financial Services Firm

12%

Comms Service Provider

10%

Construction Company

10%

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	51
Midsize Enterprise	27
Large Enterprise	155

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

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Product Reports

Informatica Intelligent Data Management Cloud (IDMC)

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Informatica Intelligent Data Management Cloud (IDMC) report

Qlik Compose

Download Qlik Compose product report

Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking

Compose, Attunity Compose

Overview

Informatica Intelligent Data Management Cloud (IDMC) offers seamless integration of master data management, data quality, and data integration with a cloud-native architecture supporting multiple data management styles, optimizing data governance through metadata management.

IDMC enhances data synchronization and mapping tasks, utilizing a broad range of connectors to interact efficiently with data sources. Its precise address validation via AddressDoctor and intuitive navigation bolster user empowerment, delivering agility, scalability, and security in data governance. Despite its strengths, areas like ease of use, SAP integration, and reporting could benefit from enhancements. Connectivity issues and workflow complexities are noted, needing improvements in performance, support, and licensing cost. Users demand expanded ETL capabilities, real-time processing, and broader data source support to address growing data needs.

What are the key features of IDMC?

Integration Capabilities: Ensures seamless connectivity between on-premise and cloud environments.
Master Data Management: Centralizes and streamlines data processes for enhanced quality.
Data Quality: Employs tools for cleansing and standardizing data accuracy.
Address Validation: Features AddressDoctor for precise address verification.
Real-Time Processing: Supports real-time data handling for critical operations.
Connectivity Options: Offers a wide array of connectors for easy data source interaction.

What benefits and ROI should users consider?

Scalability: Cloud-native design boosts system agility, adapting to data volume changes.
Security: Enhances data protection with robust encryption and compliance measures.
Efficiency: Automates processes to reduce manual effort and errors.
Flexibility: Supports diverse data management styles, offering adaptability to business changes.
Governance: Empowers effective data governance through comprehensive metadata management.

In industries such as banking, healthcare, and telecom, IDMC is implemented for data integration, cloud migration, and enhancing data quality. Its capabilities are crucial for metadata management, lineage tracking, and real-time processing, ensuring high data quality and streamlined operations.

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

The Travel Company, Carbonite

Poly-Wood

Informatica Intelligent Data Management Cloud (IDMC) vs. Qlik Compose