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Denodo vs Informatica Intelligent Data Management Cloud (IDMC) vs Informatica PowerCenter comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

ROI

Sentiment score
6.8
Denodo improved efficiency, ROI, decision-making, reduced churn, and increased loyalty, significantly enhancing data processing and systems replacement.
Sentiment score
7.1
Organizations benefit from improved data quality, time savings, and ROI with Informatica Cloud, enhancing processes and security.
Sentiment score
8.1
Informatica PowerCenter is valued for its flexibility, stability, and effectiveness in handling diverse and complex data for reports.
 

Customer Service

Sentiment score
7.2
Denodo's support is praised for responsiveness and expertise but criticized for slow bug fixes and lack of proactive engagement.
Sentiment score
6.9
Informatica's customer service is effective, praised for responsiveness but criticized for occasional delays and inconsistency.
Sentiment score
6.9
Customer service and technical support receive mixed reviews, highlighting varying levels of responsiveness, resource availability, and user experiences.
They have a good methodology for learning how to use the tool.
Denodo's customer support team is very competent and responsive.
If we raise a ticket, it can be resolved or addressed within a reasonable time frame, so support is good.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
The response time is pretty good because we have someone in-house, who is an expert from Informatica, in our team who can help us with any sort of queries usually.
If they are unsure how to resolve an issue, they keep customers informed, providing updates about progress and ensuring communication with the product team to deliver accurate responses.
I like the technical support provided by Informatica.
 

Scalability Issues

Sentiment score
7.5
Denodo is scalable and integrates widely but may require additional management for performance and cost efficiency.
Sentiment score
7.3
Informatica IDMC is highly scalable and adaptable, though optimal design and documentation are crucial for large-scale operations.
Sentiment score
6.8
Informatica PowerCenter excels in scalability and versatility for data management, though costs and setup complexity are concerns.
For huge data requests, it cannot scale automatically; admin action is required.
While the solution scales well on a single machine, I have doubts about its scalability when deployed as part of a Java component cluster.
Its complexity in configuring and the requirement to install different connectors for different sources affects its scalability.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
For scalability, I would rate Informatica PowerCenter between eight to nine.
 

Stability Issues

Sentiment score
6.9
Denodo offers robust stability with minor bugs; high reliability improves in the latest version despite complex scenario challenges.
Sentiment score
7.7
Informatica Intelligent Data Management Cloud is generally stable, with newer versions being more reliable and support enhancing consistency.
Sentiment score
7.8
Informatica PowerCenter is highly rated for stability, with few issues, mostly resolved by hotfixes, ensuring reliable performance.
I would rate it nine out of ten because it is very reliable, always performing as expected.
If JVM does not function properly, it may cause Denodo to fail to connect to different sources.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
Informatica PowerCenter is stable and can scale well.
 

Room For Improvement

The system needs comprehensive improvements in functionality, integration, support, UI, scalability, security, documentation, and external tool compatibility.
IDMC requires UI improvements, better system connectivity, performance enhancements, cost reduction, AI features, and improved support and observability.
Informatica PowerCenter users seek improved affordability, a modern interface, better integration, and scalability for enhanced efficiency and user-friendliness.
Ensuring data caching is up to date is critical.
Denodo needs better communication on how the product can be deployed for specific solutions.
The system has dependencies on other environments, like JVM, which can affect its performance.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
I also want to see integration with other Informatica products, such as IICS, to leverage the metadata from EDC.
The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview.
With Informatica PowerCenter, I am looking for an AI interface that looks at the underlying data model of the databases and the metadata of the tables, allowing the developer to provide instructions on what data sources to connect to and how to apply or create Transformations.
Utilizing more stored procedures from Oracle databases in an easy way would significantly boost performance.
 

Setup Cost

Denodo pricing is costly, designed for large enterprises, with complex licensing and costs varying by customer needs.
Informatica IDMC's pricing is seen as high, with nuanced licensing, leading to user concerns compared to competitors.
Informatica PowerCenter, although costly, is valued by large enterprises for its comprehensive features and effective complex data handling.
Denodo is considered pricey, limiting its use to large enterprises or government organizations that can afford its comprehensive setup.
Denodo's pricing is not affordable for small companies and is more suitable for medium to large enterprises.
It ranges from a quarter million to a couple of million a year.
The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview.
I think the costs are reasonable for the kinds of features that Informatica Intelligent Data Management Cloud (IDMC) has.
I find that the pricing and licensing for Informatica PowerCenter align with its quality.
The price of Informatica PowerCenter is high, especially for small and medium-sized businesses.
 

Valuable Features

Denodo is praised for data virtualization, efficiently integrating and managing diverse sources with strong security, introspection, and visualization.
Informatica IDMC is a robust cloud platform offering seamless data integration, real-time streaming, and comprehensive data management features.
Informatica PowerCenter provides robust, scalable ETL solutions with user-friendly design, supporting extensive databases and seamless data integration.
Denodo's ability to connect to multiple data sources and perform extract-transform-load (ETL) operations on the fly is noteworthy.
The most valuable feature of Denodo is its uniformity of self-site data access types, which allows it to connect to almost any storage technology and feed it transparently.
Denodo supports SQL base, so if you want to join two tables or two views, you can use SQL, which is an advantage as most developers or business people know SQL.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
Informatica Intelligent Data Management Cloud (IDMC) can connect to pretty much any application, including Oracle Analytics and Power BI, and it works quite seamlessly.
In on-premise, we call it EDC for metadata management, while in cloud-based technologies, it is known as the Metadata Command Center, which serves the same purpose as EDC concerning CDGC.
The system supports real-time integration, which is essential for many of my tasks.
The functions in Informatica PowerCenter that I have found most valuable are the way it manages the volume of data, the push down optimization, and the performance aspects of it, mostly related to parallelism techniques.
 

Mindshare comparison

As of July 2025, in the Data Integration category, the mindshare of Denodo is 1.9%, down from 2.0% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 4.2%, down from 6.7% compared to the previous year. The mindshare of Informatica PowerCenter is 8.5%, down from 11.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Atanu Chatterjee - PeerSpot reviewer
Data virtualization and integration enabled while caching and scalability room for improvement
In terms of improvements for Denodo, regarding performance, in cases where there are multiple virtualizations—such as reading from one Denodo view that is virtualized, and from that view there's also virtualization, and another team is reading from that view—if multiple virtualizations happen with no caching in between, it becomes slow. This occurs because it is cascading; whenever at the top level someone is reading data, that request is getting cascaded to the nth level, causing issues, especially in cases such as Power BI reports. We need to consider implementing some persistent layer in between. The scaling process should improve because many things are getting automated. The scale-out part needs to be automated, though I am uncertain whether Denodo has already implemented that feature.
Saikat Ghosh - PeerSpot reviewer
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.
Deepak Shiv - PeerSpot reviewer
Provides multiple transformations in one toolset and helpful when extracting data from multiple sources
Error handling capability is quite good in Informatica PowerCenter because it provides a very detailed session log, which is really helpful to identify errors. In addition, there are KB articles published by Informatica that are really helpful. So, error handling and the KB articles provided by Informatica are very helpful. Even if you face any issues or errors, we can usually resolve them. If the error cannot be solved with Informatica PowerCenter, we can raise a case with Informatica, and their support team will help us address that issue. If it cannot be solved with that particular version, they will consider it and try to solve it with the next patch or hotfix. AI Initiatives: Our company also has organizational AI or machine learning initiatives. However, Informatica PowerCenter doesn't fit into AI-related things because it's an on-premise tool. It doesn't have a significant role in the field. It is just a small ETL on-premises tool. So basically, in the AI field, Informatica PowerCenter is not going to be that impactful. Informatica has launched IICS and IDMC (Informatica Data Management Cloud and Informatica Cloud), where their AI comes into the picture. But for Informatica PowerCenter, AI does not come into the picture at all.
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Comparison Review

it_user90069 - PeerSpot reviewer
Feb 20, 2014
Informatica PowerCenter vs. Microsoft SSIS - each technology has its advantages but also have similarities
Technology has made it easier for businesses to organize and manipulate data to get a clearer picture of what’s going on with their business. Notably, ETL tools have made managing huge amounts of data significantly easier and faster, boosting many organizations’ business intelligence operations…
 

Top Industries

By visitors reading reviews
Financial Services Firm
23%
Manufacturing Company
10%
Computer Software Company
9%
Government
7%
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
9%
Insurance Company
6%
Financial Services Firm
19%
Computer Software Company
12%
Manufacturing Company
7%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Does Denodo provide useful data virtualization education? Is it useful to attend their training?
If you are a Denodo user, it makes sense to undergo their training. Different types of professionals can benefit fro...
In experience, what might Denodo be lacking or need improvement on?
I like Denodo a lot. It offers quick and easy web service deployment within minutes. There are not any flaws that I ...
Which industries can benefit from Denodo the most?
Denodo is suitable for pretty much all sectors that deal with: Big data Cloud solutions Data governance Logical data...
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 transfor...
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...
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 r...
How does Azure Data Factory compare with Informatica PowerCenter?
Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stabil...
Which is better - SSIS or Informatica PowerCenter?
SSIS PowerPack is a group of drag and drop connectors for Microsoft SQL Server Integration Services, commonly called ...
How do you evaluate the pricing model of Informatica PowerCenter?
The pricing model of Informatica PowerCenter is suitable for big companies and enterprises. This is an amazing produc...
 

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
PowerCenter
 

Overview

 

Sample Customers

Autodesk, VHA, AAA, Sumitomo Mitsui Trust Bank, Caterpillar, European Chemical Agency, Seagate, Nationwide, Time Warner Cable, Pantex, Inditex, BNSF Railways, Vodafone, CIT Group, Jazztel, Wolters Kluwer, Telefonica, TransAlta
The Travel Company, Carbonite
University of Texas MD Anderson Cancer Center, LexisNexis, Rabobank
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration. Updated: July 2025.
862,077 professionals have used our research since 2012.