Ataccama DQ Analyzer vs Informatica Intelligent Data Management Cloud (IDMC) comparison

The compared Ataccama and Informatica solutions aren't in the same category. Ataccama is ranked #7 in DSS , and holds a 5.2% mindshare in the category. Informatica is ranked #2 in DMPD , with an average rating of 7.7, and holds a 15.5% mindshare. Additionally, 100% of Ataccama users are willing to recommend the solution, compared to 93% of Informatica users who would recommend it.

Ataccama DQ Analyzer

Read 4 Ataccama DQ Analyzer reviews

401 Views
31 Comparison Views

100% willing to recommend

Informatica Intelligent Dat...

Read 185 Informatica Intelligent Data Management Cloud (IDMC) reviews

261 Views
27 Comparison Views

93% willing to recommend

Ataccama DQ Analyzer

Informatica Intelligent Dat...

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Executive Summary

We performed a comparison between Ataccama DQ Analyzer and Informatica Intelligent Data Management Cloud (IDMC) based on real PeerSpot user reviews.

Find out what your peers are saying about Experian, Talend, Melissa and others in Data Scrubbing Software.

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June 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

Ataccama DQ Analyzer

Average Rating

7.8

Number of Reviews

Ranking in other categories

Data Scrubbing Software (7th)

Informatica Intelligent Dat...

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

185

Ranking in other categories

Data Integration (2nd), Data Quality (1st), Business Process Management (BPM) (11th), Business-to-Business Middleware (5th), 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)

Mindshare comparison

While both are Data Quality Tools solutions, they serve different purposes. Ataccama DQ Analyzer is designed for Data Scrubbing Software and holds a mindshare of 5.2%, down 9.0% compared to last year.
Informatica Intelligent Data Management Cloud (IDMC), on the other hand, focuses on Data Management Platforms (DMP), holds 15.5% mindshare, up 13.7% since last year.

Data Scrubbing Software

Data Management Platforms (DMP)

Featured Reviews

Chuha Adequatov

Head of Regulatory Reference Data Management Division at Altynalmas JSC

Is easy to deploy and is free, but marketing strategies need improvement

We use Ataccama DQ Analyzer to analyze data migration from one source to another. We use it to clean up the data I like that there is no need to buy a license. You can just download it and use it free. It is also easy to deploy. They could focus more on marketing the product. The current…

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Raj Sethupathi

Data Integration Consultant GCP/AWS at a consultancy with 10,001+ employees

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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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It is also easy to deploy."

"The data profile itself is excellent. You can understand the quality of the data in layman's terms."

"The way that the solution scans is very useful."

"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."

"There isn't any human touch involved. It's just an automated business process to build different applications and talking to various APIs using the client's ecosystems. We then build new functionalities out of it."

"It's helpful in integration, and it can be moved around in SharePoint. So, from the SharePoint View, data integration and reporting, it help a lot in that way."

"The solution is straightforward."

"The interface is really good."

"The user interface which is very easy to use if we have any problems to solve."

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

More Informatica Intelligent Data Management Cloud (IDMC) pros

Cons

"Although DQA can fetch data from most of the commonly used data sources, it has limited modifiers to get data, meaning that the number of technologies from which the data can be acquired is limited. For example, DQA does not support fetching data from Twitter or Facebook. Many competitors have this feature."

"They could focus more on marketing the product. The current marketing strategy is not working."

"The tool's performance is an area that should be given further consideration."

"Their UI needs improvement. Their scorecards and reporting also need improvement. Their data quality reporting, especially their dashboards and scorecards, is lackluster at best. Its reporting capabilities are limited. If you want to do anything beyond its limited reporting capabilities, then you're going to have to use an external reporting tool such as Power BI or something like that."

"Needs to implement the new workflow with simple steps and a quick visualization with a 360 view of the data."

"IEDC can improve the comparison of lineages."

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

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

"It would be great if the cloud version could match the full range of capabilities available on-premise."

"The cloud version could be better in terms of pricing."

More Informatica Intelligent Data Management Cloud (IDMC) cons

Pricing and Cost Advice

"There is no need to buy a license. You can just download it and use it for free."

"The product is not very pocket-friendly for small and medium-sized businesses, and it is understandable because of the kind of features the tool gives."

"We saw an ROI. We have been able to get data from various sources and consolidate it into a data lake, which is helping us in data analytics."

"Comparatively, their prices are a little bit too high."

"We got a 50% discount."

"It's pretty high for us. It's more on the higher side, like low to middle high."

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

"The product is highly-priced."

"It's an expensive solution."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Energy/Utilities Company

10%

Educational Organization

Insurance Company

Financial Services Firm

17%

Computer Software Company

12%

Manufacturing Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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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

Talend Data Quality vs Ataccama DQ Analyzer

Compared 57% of the time

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Compared 20% of the time

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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)

Compared 5% of the time

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

Compared 5% of the time

Reltio Cloud vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

TIBCO EBX vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 3% of the time

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Product Reports

Buyer's Guide

Data Scrubbing Software

June 2025

Download Ataccama DQ Analyzer product report

Buyer's Guide

Informatica Intelligent Data Management Cloud (IDMC)

April 2025

Informatica Intelligent Data Management Cloud (IDMC) report

Download Informatica Intelligent Data Management Cloud (IDMC) product report

Also Known As

DQ Analyzer

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

Overview

DQ Analyzer (DQA) combines advanced data profiling and analysis capabilities with a point-and-click interface that is simple enough for business managers to use without extensive training.

Ataccama

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

Sample Customers

University of Arizona

The Travel Company, Carbonite

Buyer's Guide

Data Scrubbing Software

June 2025

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