Informatica Intelligent Data Management Cloud (IDMC) vs Pentaho Data Catalog comparison

Informatica and Hitachi Vantara are both solutions in the Metadata Management category. Informatica is ranked #2 with an average rating of 8.0, while Hitachi Vantara is ranked #16. Informatica holds a 15.2% mindshare in MM, compared to Hitachi Vantara’s 1.5% mindshare. Additionally, 92% of Informatica users are willing to recommend the solution, compared to 100% of Hitachi Vantara users who would recommend it.

Informatica Intelligent Dat...

Read 214 Informatica Intelligent Data Management Cloud (IDMC) reviews

22,811 Views
2,281 Comparison Views

92% willing to recommend

Pentaho Data Catalog

Read 1 Pentaho Data Catalog review

252 Views
252 Comparison Views

100% willing to recommend

Informatica Intelligent Dat...

Pentaho Data Catalog

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 11, 2025

Informatica Intelligent Data Management Cloud and Pentaho Data Catalog are competitive solutions in data management and integration. Informatica provides superior integration features, while Pentaho excels with data cataloging and modeling.

Features: Informatica IDMC offers advanced data integration, automation capabilities, and AI-driven insights. Pentaho Data Catalog provides comprehensive data governance, visualization tools, and deep analytical capabilities.

Ease of Deployment and Customer Service: Informatica IDMC offers a cloud-first deployment model with extensive support options. Pentaho offers flexible deployment, including on-premises options, with reliable customer support.

Pricing and ROI: Informatica IDMC involves higher initial setup costs but promises significant ROI through enhanced data processing efficiencies. Pentaho offers a more cost-effective setup with quick, value-driven results, focusing on comprehensive analytics.

To learn more, read our detailed Metadata Management Report (Updated: January 2026).

Buyer's Guide

Metadata Management

January 2026

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Helped 881,733 peers since 2012

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 Metadata Management

2nd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

214

Ranking in other categories

Data Integration (2nd), Data Quality (1st), Business Process Management (BPM) (6th), Business-to-Business Middleware (2nd), API Management (6th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Integration Platform as a Service (iPaaS) (3rd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)

Pentaho Data Catalog

Ranking in Metadata Management

16th

Average Rating

9.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Metadata Management category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 15.2%, down from 24.4% compared to the previous year. The mindshare of Pentaho Data Catalog is 1.5%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Metadata Management Market Share Distribution
Product	Market Share (%)
Informatica Intelligent Data Management Cloud (IDMC)	15.2%
Pentaho Data Catalog	1.5%
Other	83.3%

Metadata Management

Featured Reviews

Divya-Raj

Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte

Handles large data volumes effectively and offers competitive pricing

There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.

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Lisa Williams

Manager, Office of Enterprise Data Management at State of Arizona

Helps make metadata available from our transactional databases, data warehouse, document management system, and GIS

As I've said, we've tagged a lot of fields that are related to specific processes, like the driller's log or, for example, if you want to get a license to be a well driller. Now, what I'm having to do for the consultants is create an Excel spreadsheet that has the name of the tag and a description of it. I'm now creating a data silo. What would be helpful is a place, inside Lumada Data Catalog, where you can describe the tags that you're using. Otherwise, anybody coming into the system, or seeing the tag from the outside in one of the reports, is going to say, "What is that tag really referring to?" and has to know where my spreadsheet is.

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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 solution is applicable for both technical and business users."

"Informatica Cloud Data Integration is stable."

"It is a highly scalable solution."

"The profiling feature in Informatica Data Quality is incredibly effective for data governance."

"I give the stability a ten out of ten."

"The program is stable and scalable."

"It has become an easy way to exchange information through any cloud application."

"I was responsible for installing Informatica Cloud Data Quality on Google infrastructure, which was straightforward."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"The ability to easily and quickly ingest new data sources is the most valuable feature... I'm not an especially technical IT person, but my data governance lead and I are able to ingest the data, quickly profile it, and do data identification and tagging."

Cons

"I need to have some insight into the tool's cloud capabilities."

"Some functionalities can be a challenge in the cloud."

"Informatica's issue is the licensing. Right now, there are a lot of new gen MDMs that are offering a lot in a single licensing model."

"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."

"Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data."

"We'd like to see the microservices, which don't run yet because the solution is not yet fully cloud-based."

"The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future."

"I would also like to have profiling functionalities and quality transformations in the cloud."

More Informatica Intelligent Data Management Cloud (IDMC) cons

"We've tagged a lot of fields that are related to specific processes... What would be helpful is a place, inside Lumada Data Catalog, where you can describe the tags that you're using. Otherwise, anybody coming into the system, or seeing the tag from the outside in one of the reports, is going to say, "What is that tag really referring to?" and has to know where my spreadsheet is."

Pricing and Cost Advice

"We pay for a yearly subscription."

"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."

"It's a very expensive solution"

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

"We saw an ROI. We have been able to get data from various sources and consolidate it into a data lake, which is helping us in data analytics."

"Informatica is very expensive."

"Informatica MDM is a costly solution because it comes as a bundle. They are also globally positioning themselves and are definitely working on very upgraded technologies. If someone wanted to do it on the cloud, they have a lot of flexibility because they upgrade themselves according to the current needs. It definitely comes with a lot of features and that's the reason why it's costly. The licensing cost should be approximately one million dollars. It's about four to five times that of other vendors."

"Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."

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

"We can afford it. We got a three-year contract... If it were to go up and price a lot, I don't know if I would be able to keep it."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

10%

Computer Software Company

Retailer

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	51
Midsize Enterprise	27
Large Enterprise	153

No data available

Questions from the Community

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...

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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...

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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 ...

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Comparisons

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Compared 2% of the time

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Compared 36% of the time

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More Pentaho Data Catalog Competitors

Product Reports

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

January 2026

Informatica Intelligent Data Management Cloud (IDMC) report

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Buyer's Guide

Metadata Management

January 2026

Download Pentaho Data Catalog product report

Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking

Hitachi Lumada DataOps - Data Catalog

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

Data intelligence delivered across all structured and unstructured data. A data culture fostered by trusted & actionable data with observability, lineage, quality and reliability.

Hitachi Vantara

Sample Customers

The Travel Company, Carbonite

Information Not Available

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