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 #15. Informatica holds a 16.6% mindshare in DQ, compared to Oracle’s 1.5% 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

22,748 Views
2,047 Comparison Views

93% willing to recommend

Oracle Data Quality

Read 8 Oracle Data Quality reviews

325 Views
319 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: July 2025).

Buyer's Guide

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

July 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 (4th), Business Process Management (BPM) (9th), 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 (2nd), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)

Oracle Data Quality

Ranking in Data Quality

15th

Average Rating

8.4

Reviews Sentiment

7.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 16.6%, down from 23.2% compared to the previous year. The mindshare of Oracle Data Quality is 1.5%, down from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality

Featured Reviews

Saikat Ghosh

Consulting Principal & Founder at Digital Data Consultancy

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.

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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

"Replication allows us to fully replicate all objects from Shop Floor Data Collection (SFDC) to in-house/on-premises database in one job."

"The product seems stable enough."

"It is a highly scalable solution."

"It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy."

"The product is scalable and excellent for enterprise-level organizations."

"We can see all our information on a single screen."

"It is quite easy to use and flexible."

"It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades."

More Informatica Intelligent Data Management Cloud (IDMC) pros

"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."

"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."

Cons

"Informatica Enterprise Data Catalog could improve by having a much better user interface. It is not user-friendly."

"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."

"There are also some technical issues sometimes with integrations because clients have a lot of different types of data sources."

"It needs to be a little more intuitive but it’s really not bad."

"There could be a lot more application integration."

"User/group administration could use improvement."

"There is room for improvement at the highest level in terms of useability and connectors for various types of new applications. The row processing performance could be better because you experience some latency dealing with high volumes of data. Most organizations will be dealing with multiple cloud applications, so you could see performance issues moving from one system to another."

"The ability of the product to leverage the power of big data could 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."

"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."

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

Pricing and Cost Advice

"Its pricing model can be improved."

"It's a very expensive solution"

"The product is highly-priced."

"It is cost effective and an easily accessible tool."

"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."

"The price of Informatica Cloud Data Integration could be reduced."

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

"The price is very high and has become a big concern for our customers who require the solution in order for their business to function smoothly."

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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865,164 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

11%

Manufacturing Company

10%

Insurance Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

How does Azure Data Factory compare with Informatica Cloud Data Integration?

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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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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)

August 2025

Informatica Intelligent Data Management Cloud (IDMC) report

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Buyer's Guide

Data Quality

July 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) 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

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

July 2025

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