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

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

"It is a stable solution."

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

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

"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."

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

"I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."

"Informatica MDM stands out as a tool that can give you the flexibility needed for doing channel-specific data quality or business validation."

"The governance process was fully manual before, but Axon helped us configure those processes, giving us more visibility, transparency, and control over the data."

"The solution's most valuable features are its data quality, match-merge engine, and CLAIRE AI engine, which helps with AI automation."

"The most valuable features of Informatica MDM are its reliability, match functions, and integration capabilities. The out-of-box functionality of deduplication and built-in data models ensure faster implementation."

"The advanced features like task flow and conditional integration are particularly useful."

"The tool manually checks on applying business rules and helps to implement them."

More Informatica Intelligent Data Management Cloud (IDMC) pros

Cons

"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."

"Its queuing and messaging features need improvement."

"The initial setup is not easy."

"The pricing can be improved."

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

"The main issue preventing Brazilian companies from migrating to Informatica Cloud Data Integration from on-prem is the price."

"The UI is terrible and not user-friendly."

"The setup is complex."

"In terms of cost effectiveness, Informatica Intelligent Data Management Cloud (IDMC) is more than 20% costly compared to the industry."

"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."

"Informatica should simplify the rules for setting classifications and user access management permissions. It's too complex to define, configure, and make work."

"It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality."

"Though EDC has maximum coverage, a few things were not available to scan, but I think EDC is evolving to address this issue."

More Informatica Intelligent Data Management Cloud (IDMC) cons

Pricing and Cost Advice

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

"It is an expensive solution."

"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."

"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."

"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."

"It's an expensive solution."

"Informatica MDM's pricing is not cheap but comparable to other vendors."

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

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

"We got a 50% discount."

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

Comparisons

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Compared 39% of the time

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Compared 13% of the time

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Compared 11% of the time

webMethods.io vs IBM Cloud Pak for Integration

Compared 10% of the time

IBM DataPower Gateway vs IBM Cloud Pak for Integration

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

Reltio Cloud vs Informatica Intelligent Data Management Cloud (IDMC)

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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