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 #24 with an average rating of 8.5, while Informatica is ranked #8 with an average rating of 7.7. IBM holds a 0.5% mindshare in APIM, compared to Informatica’s 0.3% 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

710 Views
532 Comparison Views

100% willing to recommend

Informatica Intelligent Dat...

Read 183 Informatica Intelligent Data Management Cloud (IDMC) reviews

279 Views
225 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: April 2025).

Buyer's Guide

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

April 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

24th

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

8th

Ranking in Cloud Data Integration

3rd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

183

Ranking in other categories

Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (13th), Business-to-Business Middleware (4th), 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 May 2025, in the API Management category, the mindshare of IBM Cloud Pak for Integration is 0.5%, down from 0.6% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 0.3%, 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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Raj Sethupathi

Data Integration Consultant GCP/AWS at Infogrators Inc

Offers profiling and address standardization but can be complicated

Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.

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

"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."

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

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

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

"It is a stable solution."

"The product is stable."

"The scalability is very high."

"The metadata management of Informatica is great."

"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."

"It has flexibility in extending the data model."

"Informatica Persistent Data Masking can mask production data for different users, ensuring that only authorized individuals can access sensitive information."

"The features that I have found most valuable are, first of all, that it comes as part of this whole bundle of Informatica tools. So if you've been implementing Informatica MDM across a business, you'd often find it comes with it. It's been thrown in as a sweetener. The adoption of it is often the challenge because as part of your MDM project, governance is seen as something beyond the MDM and is often restrictive. So this tool actually, for the first time, when you talk to data governance teams, gives a holistic view of what a data governance team can do with this tool."

"The solution has the best feature for parameterization."

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."

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

"The pricing can be improved."

"The initial setup is not easy."

"Its queuing and messaging features need improvement."

"The scalability is tough."

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

"The UI is extremely complex"

"The pricing model is problematic."

"The main issue probably has nothing to do with end users, but installation can definitely be simplified."

"If I want to scan the metadata from the data lineage or the Python code, such areas can get tedious in the tool."

"The on-prem solution is harder to learn than the cloud-based versions."

"The price modeling could be more flexible."

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."

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

"It is expensive. That's probably the biggest drawback. The business has heartache paying the license, but that's mainly because they don't realize what value it brings. The key thing about the MDM solution is that it is in the backend, and no one sees what it is actually doing. You don't know it is a problem until it is not there."

"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."

"It is an expensive solution. I would say it is the most expensive solution in the market."

"Comparatively, their prices are a little bit too high."

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

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

"I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price."

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%

Computer Software Company

12%

Insurance Company

Government

Financial Services Firm

17%

Computer Software Company

12%

Manufacturing Company

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 45% of the time

IBM API Connect vs IBM Cloud Pak for Integration

Compared 14% of the time

IBM DataPower Gateway vs IBM Cloud Pak for Integration

Compared 7% of the time

IBM InfoSphere DataStage vs IBM Cloud Pak for Integration

Compared 7% of the time

AWS Glue vs IBM Cloud Pak for Integration

Compared 6% of the time

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Informatica PowerCenter vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 5% of the time

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

Compared 5% of the time

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

Compared 5% of the time

Reltio Cloud vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

TIBCO EBX vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

More Informatica Intelligent Data Management Cloud (IDMC) Competitors

Product Reports

Buyer's Guide

API Management

May 2025

Download IBM Cloud Pak for Integration product report

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

April 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)

April 2025

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

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