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 #27 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 0.4% 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

1,293 Views
621 Comparison Views

100% willing to recommend

Informatica Intelligent Dat...

Read 185 Informatica Intelligent Data Management Cloud (IDMC) reviews

22,748 Views
455 Comparison Views

93% willing to recommend

IBM Cloud Pak for Integration

Informatica Intelligent Dat...

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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: July 2025).

Buyer's Guide

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

July 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

27th

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 (4th), Data Quality (1st), Business Process Management (BPM) (9th), 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 (2nd), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)

Mindshare comparison

As of August 2025, in the API Management category, the mindshare of IBM Cloud Pak for Integration is 0.5%, down from 0.5% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 0.4%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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.

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Saikat Ghosh

Consulting Principal & Founder at Digital Data Consultancy

Match and merge functionality is still the best but cloud version needs more functionality

There are various areas for improvement in IDMC. Enhancements on basic data management functionality and the UI front, such as multiple templates and improved grid views, would be beneficial. Bulk data management features could be improved from the UI perspective to get to the level of the on prem versions of Informatica MDM. The tool needs to mature but missing small but important features, like restricted dynamic attributes functionality, data inheritance rules in master hierachies, identifiers not being passed in jobs is a drawback.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"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."

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

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

"It is a stable solution."

"The most valuable features of the solution are pushdown, optimization, and partitioning, which can be used for frequent data loading, especially when we have a huge data volume in our company."

"The program is stable and scalable."

"The tool's most valuable feature is bulk upload. We upload files in CSV or Excel format."

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

"The solution has the best feature for parameterization."

"The solution is applicable for both technical and business users."

"The solution provides increased efficiency while still being user-friendly and easy to operate."

"It comes with lot of features and is a one-stop-shop solution for integration, data modeling, and data governance. Everything can be built under one particular umbrella. If any issues come up, then there won't be any blame game saying that it could be an integration issue or an MDM hub issue because it's wholly owned by Informatica. That's the biggest advantage of Informatica MDM over that of any other tools that are available on the market."

More Informatica Intelligent Data Management Cloud (IDMC) pros

Cons

"Its queuing and messaging features need improvement."

"The initial setup is not easy."

"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."

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

"The pricing can be improved."

"Informatica MDM has a complex user interface, which could be improved."

"The tool could be improved in terms of ease of use, particularly for those without technical expertise. Understanding and extracting data from the table-based structure requires some SQL knowledge and technical skills. Additionally, while Informatica MDM has moved towards a cloud-based MDM with a UI similar to Reltio, I haven't used it, so I can't comment on its effectiveness."

"There could be a lot more application integration."

"The ability of the product to leverage the power of big data could be improved."

"Certain shortcomings in the product's UI make it an area where improvements are required."

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

"The on-prem version's functionalities may not be available on the cloud version."

"Needs to implement the new workflow with simple steps and a quick visualization with a 360 view of the data."

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."

"I'm not sure about the most recent pricing trends, but I don't believe it's significantly different from PowerCenter. I believe it is nearly the same."

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

"It's pretty high for us. It's more on the higher side, like low to middle high."

"You pay for this solution based on IPUs, Informatica Processing Units. This depends on how much data you process and how much memory you consume from the cloud provider, and you pay as you go."

"The price is comparable."

"Informatica MDM recently changed its pricing model. It's usage-based but I don't have much insight into the current pricing."

"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing nine and a half out of ten."

"It's offers value for money. They're more competitive with respect to pricing and offerings."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Government

10%

Computer Software Company

Insurance Company

Financial Services Firm

16%

Computer Software Company

11%

Manufacturing Company

10%

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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 13% of the time

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Compared 8% of the time

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Compared 8% of the time

MuleSoft API Manager vs IBM Cloud Pak for Integration

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Informatica PowerCenter vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% 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 3% of the time

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

Compared 3% 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

July 2025

Download IBM Cloud Pak for Integration product report

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

August 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) is a robust platform used by banks, financial institutions, and health sector organizations for data management, governance, and compliance.

IDMC provides comprehensive tools for data discovery, profiling, masking, and transformation. It supports Salesforce integration, real-time data streaming, and scalable data management solutions. Health organizations manage national product catalogs while financial entities focus on data protection and regulatory compliance. Its intuitive interface, flexible features, and robust tools make it valuable across sectors, though enhancements in data integration and human workflow are being sought.

What are the most important features?

Data discovery: Facilitates identifying and understanding data sources.
Data profiling: Analyzes old databases for data quality.
Data and platform masking: Ensures data protection.
Salesforce integration: Seamless connectivity with Salesforce.
Mastering data: Centralizing and standardizing data.
UI intuitiveness: User-friendly interface.
Feature map flexibility: Adapts to user needs.
Business glossary creation: Defines business terms.
Data lineage: Tracks data flow and transformations.
Automation: Streamlines data processes.
Enterprise data cataloging: Organizes extensive data assets.
Scalability: Supports expanding data requirements.
Easy setup: Quick deployment process.
Bulk upload: Efficiently handles large data volumes.
Customizable data management: Tailors data solutions.
Real-time data streaming: Manages live data streams.
Integration with Hadoop and NoSQL: Connects with big data platforms.

What benefits and ROI should be considered?

Regulatory compliance: Ensures adherence to regulations.
Data protection: Safeguards sensitive information.
Enhanced data quality: Improves accuracy and reliability.
Centralized data: Consolidates data for better management.
Process automation: Reduces manual tasks and errors.

Banks and financial institutions use IDMC for data masking, transformation, and compliance, while health sector organizations leverage it for national product catalogs. Industry applications focus on automating business processes, centralizing data, and managing data catalogs to meet regulatory demands and ensure data protection.

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)

July 2025

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