Informatica Intelligent Data Management Cloud (IDMC) vs Oracle Data Quality comparison

Informatica and Oracle are both solutions in the Data Quality category. Informatica is ranked #1 with an average rating of 7.8, while Oracle is ranked #16. Informatica holds a 10.8% mindshare in DQ, compared to Oracle’s 2.1% mindshare. Additionally, 93% of Informatica users are willing to recommend the solution, compared to 88% of Oracle users who would recommend it.

Informatica Intelligent Dat...

Read 185 Informatica Intelligent Data Management Cloud (IDMC) reviews

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1,851 Comparison Views

93% willing to recommend

Oracle Data Quality

Read 8 Oracle Data Quality reviews

381 Views
377 Comparison Views

88% willing to recommend

Informatica Intelligent Dat...

Oracle Data Quality

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Executive SummaryUpdated on Jan 6, 2025

Oracle Data Quality and Informatica Intelligent Data Management Cloud are competitors in the data management space. Informatica IDMC is often viewed as having the edge due to its comprehensive features.

Features: Oracle Data Quality offers valuable features like reliable data profiling, robust data cleansing, and seamless integration within the Oracle ecosystem. It supports efficient data cleansing and entity matching, which is crucial for maintaining data integrity. Meanwhile, Informatica IDMC shines with its AI-driven analytics, broad data integration support, and flexible deployment options. It offers data synchronization, entity resolution capabilities, and a user-friendly interface that enhances usability across various enterprise environments.

Room for Improvement: Oracle Data Quality could enhance its feature set beyond the Oracle ecosystem, making it more versatile for diverse environments. Improved interface and deployment flexibility could also add value. Informatica IDMC can work on reducing initial setup complexity and simplifying integration with non-Informatica platforms. Addressing these areas would make the system more accessible to a broader range of customers.

Ease of Deployment and Customer Service: Oracle Data Quality benefits from straightforward deployment within Oracle's suite, supported by an extensive customer service network. Informatica IDMC stands out with flexible deployment options, including cloud and hybrid models. Their responsive customer service supports various implementation scenarios effectively, making it a strong choice for flexible deployments.

Pricing and ROI: Oracle Data Quality requires an initial investment to perform optimally within the Oracle ecosystem, with ROI linked to platform consolidation. Informatica IDMC, while initially higher in cost, offers a significant ROI through its expansive feature set and scalable deployment options. Its comprehensive capabilities often justify the pricing for enterprises focused on broad data management solutions.

To learn more, read our detailed Informatica Intelligent Data Management Cloud (IDMC) vs. Oracle Data Quality Report (Updated: September 2025).

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC) vs. Oracle Data Quality

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

Informatica Intelligent Dat...

Ranking in Data Quality

1st

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

185

Ranking in other categories

Data Integration (3rd), Business Process Management (BPM) (10th), Business-to-Business Middleware (5th), API Management (7th), Cloud Data Integration (3rd), 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)

Oracle Data Quality

Ranking in Data Quality

16th

Average Rating

8.4

Reviews Sentiment

7.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 10.8%, down from 21.9% compared to the previous year. The mindshare of Oracle Data Quality is 2.1%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Market Share Distribution
Product	Market Share (%)
Informatica Intelligent Data Management Cloud (IDMC)	10.8%
Oracle Data Quality	2.1%
Other	87.1%

Data Quality

Featured Reviews

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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Venkatraman Bhat

Deliver Head - Database and Infrastructure Cloud Services at Tech Mahindra Limited

Fast, has good extraction, validation, and transformation features, and provides good support

Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more improvement in the accuracy aspect because smaller products can offer better accuracy in terms of validation compared to Oracle Data Quality. What I'd like to see from the solution in its next release, is an increase in compliances and regulations that would allow it to cover all industries because multiple verticals demand data quality nowadays, and this improvement will be helpful as Oracle Data Quality is an in-built delivered solution.

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 valuable feature of Informatica MDM is hierarchy management. It's not something that's typically available and effective within ERPs."

"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."

"Axon does one interesting thing that I don't think other tools do as well. It lets you rate data and incorporates Informatica's data quality feature into it. There are little indications and graphics that show you how good the data quality is, and you can drill into it to see where potential issues lie."

"It's a stable product without any bugs or glitches."

"On a scale of 1-10, I rate Informatica Intelligent Data Management Cloud (IDMC) a 10 out of 10."

"The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application."

"The solution is stable."

"It is a very stable solution. I rate its stability a ten out of ten...It is a scalable solution...Informatica Axon's technical support is good."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"Once it is set up, it is easy to use and maintain."

"With Oracle Data Quality, the most valuable feature is entity matching."

"The features I like most about Oracle Data Quality include extraction, transformation, and validation, which makes it a multipurpose product such as Oracle GoldenGate and Oracle Data Integrator. I also like that Oracle Data Quality is very fast, so you can use it for a large volume of data within a short period. You have to do the validation very quickly, so the solution helps in that area of data quality. Another feature of Oracle Data Quality that I like is the MDM (Master Data Management) where you'll have a single source of protection, and this makes the solution perfect and helpful to my company."

"I have found the most valuable features to be data cleansing and deduplication."

Cons

"I would like to see more API integration to have the capability to build a report using other third party reporting tools to streamline the operation."

"Metadata querying is right now not there in Informatica Cloud Data Integration."

"Its pricing model can be improved. The response time from technical support can also be improved."

"Its look and feel needs improvement. It has a lousy look and feel. Informatica PIM is designed specifically for the retail industry. They need to make sure that it is also applicable to all the other industries and verticals."

"With the solution, we had some issues, and we have every day, and we used to open a ticket. Sometimes, there are data issues and transformation issues."

"Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."

"Informatica MDM could improve the interdependency with integration. The solution sometimes becomes a bit difficult to change considering a lot of interdependency with the integration. There can be some improvement in the workflows and they can introduce more artificial intelligence."

"Data integration should be improved."

More Informatica Intelligent Data Management Cloud (IDMC) cons

"Oracle is currently not that intuitive. We need to use programmers to write code for a lot of the procedures. We need to have them write CL SQL code and write a CL script."

"If the length of time required for deployment was reduced then it would be very helpful."

"Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more improvement in the accuracy aspect because smaller products can offer better accuracy in terms of validation compared to Oracle Data Quality. What I'd like to see from the solution in its next release, is an increase in compliances and regulations that would allow it to cover all industries because multiple verticals demand data quality nowadays, and this improvement will be helpful as Oracle Data Quality is an in-built delivered solution."

"Oracle Data Quality should integrate with data warehousing solutions such as Azure and CWS Office. For example, having the ability to integrate with tools, such as Azure Synapse and SQL data warehousing would be a great benefit."

Pricing and Cost Advice

"You can purchase licenses for this solution at different intervals. For example, annually or every three years. They recently changed their terms for licensing and now it is more flexible."

"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."

"I rate the licensing cost of Informatica MDM a five out of ten."

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

"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."

"We switched to Informatica PIM because it was cheaper than the Oracle solution. It is cheaper initially, but they will bundle it later. This is what happens in the industry."

"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."

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

"The vendor needs to revisit their pricing strategy."

"The price of this solution is comparable to other similar solutions."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

10%

Manufacturing Company

10%

Insurance Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	42
Midsize Enterprise	24
Large Enterprise	134

By reviewers
Company Size	Count
Midsize Enterprise	2
Large Enterprise	7

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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Product Reports

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

September 2025

Informatica Intelligent Data Management Cloud (IDMC) report

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Buyer's Guide

Data Quality

August 2025

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Also Known As

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

Datanomic

Overview

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

Oracle Enterprise Data Quality delivers a complete, best-of-breed approach to party and product data, resulting in trustworthy master data that integrates with applications to improve business insight.

Oracle

Sample Customers

The Travel Company, Carbonite

Roka Bioscience, Statistics Centre _ Abu Dhabi , Raymond James Financial inc., CaixaBank, Industrial Bank of Korea, Posco, NHS Business Services Authority, RWE Power, LIFE Financial Group,

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC) vs. Oracle Data Quality

September 2025

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