IBM Cloud Pak for Integration vs Informatica Intelligent Data Management Cloud (IDMC) comparison

IBM and Informatica are both solutions in the API Management category. IBM is ranked #28 with an average rating of 8.5, while Informatica is ranked #7 with an average rating of 7.8. IBM holds a 0.5% mindshare in APIM, compared to Informatica’s 0.5% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 93% of Informatica users who would recommend it.

IBM Cloud Pak for Integration

Read 5 IBM Cloud Pak for Integration reviews

1,159 Views
556 Comparison Views

100% willing to recommend

Informatica Intelligent Dat...

Read 185 Informatica Intelligent Data Management Cloud (IDMC) reviews

20,563 Views
411 Comparison Views

93% willing to recommend

IBM Cloud Pak for Integration

Informatica Intelligent Dat...

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 3, 2024

Informatica Intelligent Data Management Cloud and IBM Cloud Pak for Integration are competing products within the data management and integration sector. While IDMC excels in terms of user satisfaction with pricing, IBM Cloud Pak is notable for its advanced features, making it a significant contender despite its higher cost.

Features: IDMC is lauded for its scalable data integration, seamless cloud adoption, and robust data governance. IBM Cloud Pak features comprehensive hybrid cloud integration, AI-driven automation, and extensive multi-cloud capabilities. IDMC is preferred for its straightforward solutions, whereas IBM offers more complex features.

Room for Improvement: IDMC could enhance its multi-cloud capabilities, add advanced AI functionalities, and expand its integration features. IBM Cloud Pak may improve by simplifying its setup processes, reducing its cost barrier, and enhancing user experience in some areas.

Ease of Deployment and Customer Service: IDMC supports rapid cloud-based deployment with seamless integration and effective support. IBM Cloud Pak requires a more complex setup, ideal for enterprises needing intricate integrations, but is backed by comprehensive customer service.

Pricing and ROI: IDMC offers a cost-effective setup with a strong ROI, particularly for small to medium businesses. In contrast, IBM Cloud Pak requires a higher initial investment but may yield substantial ROI for larger enterprises due to its extensive capabilities. This pricing distinction positions IDMC as more accessible for cost-conscious buyers, while IBM suits well-resourced organizations prioritizing comprehensive integration.

To learn more, read our detailed IBM Cloud Pak for Integration vs. Informatica Intelligent Data Management Cloud (IDMC) Report (Updated: September 2025).

Buyer's Guide

IBM Cloud Pak for Integration vs. Informatica Intelligent Data Management Cloud (IDMC)

September 2025

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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

IBM Cloud Pak for Integration

Ranking in API Management

28th

Ranking in Cloud Data Integration

16th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Informatica Intelligent Dat...

Ranking in API Management

7th

Ranking in Cloud Data Integration

3rd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

185

Ranking in other categories

Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (10th), Business-to-Business Middleware (5th), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (1st), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)

Mindshare comparison

As of October 2025, in the API Management category, the mindshare of IBM Cloud Pak for Integration is 0.5%, up from 0.5% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 0.5%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

API Management Market Share Distribution
Product	Market Share (%)
Informatica Intelligent Data Management Cloud (IDMC)	0.5%
IBM Cloud Pak for Integration	0.5%
Other	99.0%

API Management

Featured Reviews

Neelima Golla

Senior Software Engineer at NessPRO Italy

A hybrid integration platform that applies the functionality of closed-loop AI automation

I recommend using it because, in today's context, the cloud plays a significant role. Within the same user interface, you can develop applications and manage multiple applications, making it a more user-friendly option. Moreover, you can explore various other technologies while deploying on the cloud, broadening your knowledge of cloud technologies. In my case, the transition led to my learning of Kubernetes, enabling multi-scaling and expanding my technical skills. It was a valuable experience, and I had the opportunity to learn many new things during the migration process. I can easily rate it an eight or nine out of ten.

Read full review

SaurabhGaonshindhe

Principle Cloud Engineer at Sector 125

Modular structure and AI features stream new reporting processes

One of my clients has a requirement; they want to integrate metadata into the process, which means, for example, if I just want to implement a new field into my database, that field needs to be reflected throughout, let's say, 200 mappings. This highlights the need for a data-driven approach. My experience with technical support from Informatica is quite interesting; I would rate it as nine out of ten for Informatica PowerCenter kind of products or the Informatica integration products, because my team can do some hands-on using their free licenses or one-month kind of products. However, for products Master Data Management or related to MDM or Data Governance, there is no way by which we can directly practice, and my team struggles at that point.

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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 most valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."

"The most preferable aspect would be the elimination of the command, which was a significant improvement. In the past, it was a challenge, but now we can proceed smoothly with the implementation of our policies and everything is managed through JCP. It's still among the positive aspects, and it's a valuable feature."

"It is a stable solution."

"Cloud Pak for Integration is definitely scalable. That is the most important criteria."

"Redirection is a key feature. It helps in managing multiple microservices by centralizing control and access."

"On a scale of 1-10, I rate Informatica Intelligent Data Management Cloud (IDMC) a 10 out of 10."

"The staging and hierarchical features are the most valuable."

"It has flexibility in extending the data model."

"Performance and flexibility-wise, they're very user-friendly."

"The Mapping Configuration and PowerCenter wizards are valuable. We use them to run our business logic."

"I think the integration feature is probably one of the key features in Informatica MDM...Stability-wise, I rate the solution a ten out of ten."

"We use parts and standardization for most of our testing. We purchase the US Postal Service address database, which is updated periodically. Many useful tools, such as Google Maps, can detect and mark new businesses or changes in business locations. Informatica captures and updates this information. Some periodic maintenance is involved, but setting it up is not overly complicated."

"This is where I think MDM shines - with its strong fuzzy matching algorithm. This is the essence of Informatica MDM. Based on these results, I can write our match conditions and then perform the corresponding data management activities."

More Informatica Intelligent Data Management Cloud (IDMC) pros

Cons

"The initial setup is not easy."

"Enterprise bots are needed to balance products like Kafka and Confluent."

"Setting up Cloud Pak for Integration is relatively complex. It's not as easy because it has not yet been fully integrated. You still have some products that are still not containerized, so you still have to run them on a dedicated VM."

"The pricing can be improved."

"Its queuing and messaging features need improvement."

"They could provide more robust performance for data integration processes. It would help in improving the data quality more efficiently."

"Cost-wise, it could be better."

"Informatica's support understands the solution, but they lack the experience we need for our use case. That was one thing that we prioritized when we started searching for this kind of solution."

"There's no direct way to connect to Amazon APIs from Informatica Cloud."

"There are a small number of UI bugs that occur on occasion."

"The current features are a bit complicated, and we need to write big scripts and test."

"The integration could be a bit better. The process is something new."

"The model is somewhat flexible. There are certain aspects of the model that are not as flexible as we would like. It doesn't do certain things to a great level of depth. So, in situations where we want to drill in to do something specific, we have to essentially copy that data into our own structures in order to add that additional layer of flexibility."

More Informatica Intelligent Data Management Cloud (IDMC) cons

Pricing and Cost Advice

"It is an expensive solution."

"The solution's pricing model is very flexible."

"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."

"Its pricing model can be improved."

"Informatica is very expensive."

"It's a costly solution"

"The platform has a premium cost. I rate the pricing as seven out of ten."

"You can purchase licenses for this solution at different intervals. For example, annually or every three years. They recently changed their terms for licensing and now it is more flexible."

"It is cost effective and an easily accessible tool."

"Informatica Cloud Data Integration is famously known for its high price. The vendor targets large enterprises, and not medium or small companies. These large companies, and organizations, handle large amounts of data. If you go into any large bank, such as American or Canadian banks, these banks use this solution because it is more reliable, secure, and has more functionality."

More Informatica Intelligent Data Management Cloud (IDMC) pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Government

10%

Insurance Company

Computer Software Company

Financial Services Firm

16%

Manufacturing Company

10%

Computer Software Company

10%

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	42
Midsize Enterprise	24
Large Enterprise	134

Questions from the Community

What do you like most about IBM Cloud Pak for Integration?

The most preferable aspect would be the elimination of the command, which was a significant improvement. In the past, it was a challenge, but now we can proceed smoothly with the implementation of ...

See all answers

What needs improvement with IBM Cloud Pak for Integration?

Enterprise bots are needed to balance products like Kafka and Confluent.

See all answers

What is your primary use case for IBM Cloud Pak for Integration?

It manages APIs and integrates microservices at the enterprise level. It offers a range of capabilities for handling APIs, microservices, and various integration needs. The platform supports thousa...

See all answers

How does Azure Data Factory compare with Informatica Cloud Data Integration?

Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...

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

What are the biggest benefits of using Informatica Cloud Data Integration?

When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...

See all answers

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Compared 10% of the time

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Compared 7% of the time

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Informatica PowerCenter vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 5% of the time

Microsoft Purview Data Governance vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

Collibra Governance vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

Azure Data Factory vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

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Compared 3% of the time

More Informatica Intelligent Data Management Cloud (IDMC) Competitors

Product Reports

Buyer's Guide

API Management

August 2025

Download IBM Cloud Pak for Integration product report

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

September 2025

Informatica Intelligent Data Management Cloud (IDMC) report

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Also Known As

No data available

ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration

Overview

IBM Cloud Pak for Integration gives you complete, flexible integration using capabilities you need to move at today's speed of business, including the tools to help you achieve your application modernization goals as part of your journey to the cloud.

IBM

Informatica Intelligent Data Management Cloud (IDMC) integrates data quality, governance, and integration with flexible architecture. It supports multiple domains and a data models repository, delivering AI-enhanced data management across cloud-native platforms.

IDMC provides seamless integration and governance capabilities that support diverse data environments. Its comprehensive suite includes customizable workflows, data profiling, and metadata management. AI features, a data marketplace, and performance scalability enhance data management. While its interface poses challenges, its robust matching and cloud-native integration facilities are essential for complex data ecosystems. Users employ IDMC for connecting systems, ensuring data quality, and supporting data compliance but seek better pre-built rules, services, and improved connectivity, especially with platforms like Salesforce. Licensing, cost, and added AI functionalities are areas for potential refinement.

What are the key features of IDMC?

Data Quality and Integration: Seamless integration ensures data accuracy across platforms.
Metadata Management: Comprehensive metadata management supports data governance.
AI Capabilities: AI features enhance automation and decision-making processes.
Data Marketplace: Facilitates easy access to data across the organization.
Performance Scalability: Scales performance efficiently to meet growing data demands.

What benefits should be expected from IDMC?

Enhanced Data Management: Offers robust tools for data governance and quality.
Improved Integration: Connects disparate systems seamlessly, reducing data silos.
Cost Efficiency: Streamlines data processes, potentially reducing operational costs.
Data Compliance: Supports compliance with data privacy regulations.
Agility and Scalability: Adapts quickly to changing data environments.

IDMC is implemented across industries for data integration, metadata management, and governance. Organizations use it to connect systems, migrate data to cloud environments, and maintain data quality. They manage master data and automate business processes, facilitating data lineage and ensuring compliance with privacy regulations.

Informatica

Sample Customers

CVS Health Corporation

The Travel Company, Carbonite

Buyer's Guide

IBM Cloud Pak for Integration vs. Informatica Intelligent Data Management Cloud (IDMC)

September 2025

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