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 7.7, while Oracle is ranked #15. Informatica holds a 20.6% mindshare in DQ, compared to Oracle’s 1.6% 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 182 Informatica Intelligent Data Management Cloud (IDMC) reviews

2,677 Views
1,853 Comparison Views

93% willing to recommend

Oracle Data Quality

Read 8 Oracle Data Quality reviews

343 Views
147 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: April 2025).

Buyer's Guide

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

April 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

7.8

Reviews Sentiment

6.8

Number of Reviews

182

Ranking in other categories

Data Integration (3rd), Business Process Management (BPM) (13th), Business-to-Business Middleware (4th), API Management (8th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (1st), 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 April 2025, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 20.6%, down from 25.5% compared to the previous year. The mindshare of Oracle Data Quality is 1.6%, down from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality

Featured Reviews

Raj Sethupathi

Data Integration Consultant GCP/AWS at Infogrators Inc

Offers profiling and address standardization but can be complicated

Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.

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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 features are the structure masking and platform masking."

"Whether we need data cleansing or data mastering, we get it all in one platform."

"The solution's most valuable features are its data quality, match-merge engine, and CLAIRE AI engine, which helps with AI automation."

"The most valuable features of Informatica MDM are it is cloud-enabled and has all the elements that are supposed to have in terms of MDM as a solution. All the features that are there. It is very well-integrated with any of the SAP and non-SAP applications. It is quite user-friendly. The user experience that you receive in Informatica MDM is quite good."

"The program is stable and scalable."

"The solution has the best feature for parameterization."

"The scalability is very high."

"Offers data lineage feature"

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."

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

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

Cons

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

"The customer servive and support could be faster. There is a slow turnaround."

"The integration with other data management tools can be enhanced. For instance, there is no integration with tools like Collibra or Hubview."

"Pre-sales technical support is much better than post-sales technical support."

"I would like to have the solution in one product and technical support needs to be better."

"The cost of Informatica MDM is expensive and has room for improvement."

"The regions in which the data resides are still limited. This could be an issue in terms of the data residency laws of some of the countries. They should get more regions."

"There could be a lot more application integration."

More Informatica Intelligent Data Management Cloud (IDMC) cons

"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."

"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."

Pricing and Cost Advice

"Informatica is very expensive."

"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."

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

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

"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."

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

"It is an expensive solution. I would say it is the most expensive solution in the market."

"A yearly subscription is paid based on the number of people using the solution. Price-wise, it falls under the medium range since it is neither very costly nor too cheap."

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

17%

Computer Software Company

12%

Manufacturing Company

10%

Insurance Company

Financial Services Firm

20%

Manufacturing Company

11%

Computer Software Company

University

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?

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 5% of the time

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TIBCO EBX vs Informatica Intelligent Data Management Cloud (IDMC)

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Product Reports

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Informatica Intelligent Data Management Cloud (IDMC)

April 2025

Informatica Intelligent Data Management Cloud (IDMC) report

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Data Quality

April 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

April 2025

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