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) (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.

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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 most valuable feature of Informatica Enterprise Data Catalog is it provides clients with a full view of the enterprise data assets. For example, how many data assets they have and who owns them."

"MDM doesn't require a separate IDQ."

"I think the integration feature is probably one of the key features in Informatica MDM...Stability-wise, I rate the solution a ten out of ten."

"The solution allows the complete governance process, starting from the data quality, those definitions, and it can get the data quality in the EDC."

"The ability to clean out data and improve the data quality is the best feature."

"The mass ingestion functionality and the elasticity of the solution are great."

"The product seems stable enough."

"The serverless capability and the packaging application of the solution are valuable."

More Informatica Intelligent Data Management Cloud (IDMC) pros

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

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

"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."

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

Cons

"It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality."

"The tools required to migrate existing mappings and server rules through cloud data quality are not available."

"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."

"In terms of what could be improved, they need to create a rules repository. Business rules for the attributes that you have, keeping them in that central repository, and governance of them is something which Axon is lacking a bit. The Informatica Data Quality tool actually caters to that, so that's probably why they have not built that up in the Axon, but it is definitely something that can be built in to this product, as well."

"Enhancements on the UI front, such as multiple templates and improved grid views, would be beneficial."

"Interoperability is one area where EDC has room for improvement. It was challenging when the faculty took over the data world and had specific vendors they wanted to use, and some were not particularly open platforms."

"The error information provided is not informative, as compared to Power Center."

"We would like to have accessibility to the repository."

More Informatica Intelligent Data Management Cloud (IDMC) cons

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

"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."

"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

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

"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."

"I rate Informatica MDM's price a six on a scale of one to ten, where one is a low price, and ten is a high price."

"The platform has a premium cost. I rate the pricing as seven out of ten."

"The licensing price of the product depends on the organization's requirements."

"Informatica Axon is a costly solution. I rate Informatica Axon a four out of ten for its pricing."

"The product has a high price point."

"The price is high, but the competitors are even higher, like Collibra."

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

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

"The vendor needs to revisit their pricing strategy."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

10%

Computer Software 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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Comparisons

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

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

Compared 3% of the time

Collibra Governance 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

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Trillium Quality vs Oracle Data Quality

Compared 54% of the time

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Product Reports

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

October 2025

Informatica Intelligent Data Management Cloud (IDMC) report

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Buyer's Guide

Data Quality

October 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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