Try our new research platform with insights from 80,000+ expert users

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 19.2% mindshare in DQ, compared to Oracle’s 1.8% 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 183 Informatica Intelligent Data Management Cloud (IDMC) reviews
  • 2,513 Views
  • 1,751 Comparison Views
93% willing to recommend
Oracle Data Quality
Read 8 Oracle Data Quality reviews
  • 332 Views
  • 133 Comparison Views
88% willing to recommend
 

Comparison Buyer's Guide

Download the report
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.

DOWNLOAD THE COMPLETE REPORT
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
Download the complete report
Helped 851,371 peers since 2012

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
183
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) (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
8
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2025, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 19.2%, down from 25.3% compared to the previous year. The mindshare of Oracle Data Quality is 1.8%, down from 2.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

Raj Sethupathi - PeerSpot reviewer
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.
Read full review
Venkatraman Bhat - PeerSpot reviewer
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 way that the solution scans is very useful."
"The solution has the best feature for parameterization."
"It's got a reputation in the industry as one of the best solutions for master data management. So, it's what we see in the Gartner top right quadrant as the best product in that space."
"The solution is stable."
"The Provisioning tool is something that is really handy for everyone. It is my pick as the best feature."
"I like that Informatica MDM has robust matching technology. Informatica MDM is also porting the external Java applications for validations. I can consider that a must-have. It is also exposed to Rest API calls, and we can engage in real-time integrations with any third-party systems."
"It is one of the best tools available for data integration."
"Whether we need data cleansing or data mastering, we get it all in one platform."
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."
"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."
 

Cons

"The cloud version could be better in terms of pricing."
"The initial setup was not very straightforward. Not complex, but not very simple either."
"Informatica Axon's response times and certain aspects of the admin panel could be enhanced for better usability."
"If I want to scan the metadata from the data lineage or the Python code, such areas can get tedious in the tool."
"One area where Informatica Cloud Data Integration could improve is in providing more accelerators for certain functionalities."
"They have to improve their relationship discovery tool. They say that they have AI inside, but this AI did not automatically find relationships or suggested relationships between entities."
"The main issue probably has nothing to do with end users, but installation can definitely be simplified."
"There's no direct way to connect to Amazon APIs from Informatica Cloud."
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."
"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."
"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."
 

Pricing and Cost Advice

"You pay for this solution based on IPUs, Informatica Processing Units. This depends on how much data you process and how much memory you consume from the cloud provider, and you pay as you go."
"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 have heard from customers that the product comes with a huge license cost."
"Informatica Axon is expensive."
"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."
"Informatica MDM's pricetag should come down. They have to cut some costs."
"The product is highly-priced."
"We are quite happy with the licensing model."
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."
report
See which vendors are best for you
Use our free recommendation engine to learn which Data Quality solutions are best for your needs.
See recommendations
851,371 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
9%
Insurance Company
6%
Financial Services Firm
20%
Manufacturing Company
11%
Computer Software Company
9%
University
7%
 

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...
See all answers
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...
See all answers
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 ...
See all answers
Ask a question
Earn 20 points
 

Comparisons

Azure Data Factory vs Informatica Intelligent Data Management Cloud (IDMC) Logo
Azure Data Factory vs Informatica Intelligent Data Management Cloud (IDMC)
Compared 5% of the time
Informatica PowerCenter vs Informatica Intelligent Data Management Cloud (IDMC) Logo
Informatica PowerCenter vs Informatica Intelligent Data Management Cloud (IDMC)
Compared 5% of the time
Microsoft Purview Data Governance vs Informatica Intelligent Data Management Cloud (IDMC) Logo
Microsoft Purview Data Governance vs Informatica Intelligent Data Management Cloud (IDMC)
Compared 5% of the time
Reltio Cloud vs Informatica Intelligent Data Management Cloud (IDMC) Logo
Reltio Cloud vs Informatica Intelligent Data Management Cloud (IDMC)
Compared 4% of the time
TIBCO EBX vs Informatica Intelligent Data Management Cloud (IDMC) Logo
TIBCO EBX vs Informatica Intelligent Data Management Cloud (IDMC)
Compared 4% of the time
More Informatica Intelligent Data Management Cloud (IDMC) Competitors
No data available
 

Product Reports

Buyer's Guide
Informatica Intelligent Data Management Cloud (IDMC)
April 2025
Informatica Intelligent Data Management Cloud (IDMC) reportDownload Informatica Intelligent Data Management Cloud (IDMC) product report
Buyer's Guide
Data Quality
April 2025
Oracle Data Quality reportDownload Oracle Data Quality product report
 

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
Free Report: Informatica Intelligent Data Management Cloud (IDMC) vs. Oracle Data Quality
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. Oracle Data Quality and other solutions. Updated: April 2025.
DOWNLOAD NOW
851,371 professionals have used our research since 2012.
See our Informatica Intelligent Data Management Cloud (IDMC) vs. Oracle Data Quality report.
See our list of best Data Quality vendors.

We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.