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 #6 in DSS , and holds a 5.7% mindshare in the category. Informatica is ranked #1 in DMPD , with an average rating of 7.7, and holds a 16.7% 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

410 Views
226 Comparison Views

100% willing to recommend

Informatica Intelligent Dat...

Read 182 Informatica Intelligent Data Management Cloud (IDMC) reviews

297 Views
161 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, Kroll-Software and others in Data Scrubbing Software.

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March 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 (6th)

Informatica Intelligent Dat...

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

182

Ranking in other categories

Data Integration (3rd), Data Quality (1st), 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)

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 5.7%, down 9.9% compared to last year.
Informatica Intelligent Data Management Cloud (IDMC), on the other hand, focuses on Data Management Platforms (DMP), holds 16.7% mindshare, up 14.1% 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 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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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."

"It gives you accountability to centralize your data and have it available to different applications."

"Seeing the data in the mapping itself is really nice."

"I think that it's a good solution...It is stable because we have the experience to deploy this solution."

"The features for data quality, data cataloging, and UI are excellent."

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

"The features I find most valuable is the synchronization, verification, functionalities and all the data integration features."

"The most valuable feature of Informatica Axon is features, interfaces, and data mapping. It represents clusters nicely."

"The product is stable."

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."

"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."

"It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen."

"Its features for partitioning and optimization could be better."

"The UI is terrible and not user-friendly."

"A general improvement in icons and the virtual interface would be good."

"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."

"If I compare it with other MDM solutions in the market, one thing that can definitely be improved is automation to help with the configuration. Currently, when we are creating any staging of base object tables, all the columns have to be configured manually in the Informatica Hub Console. A lot of tables and different kinds of business columns have to be configured manually. There should be an automated process for this, especially in the Dev environment. When people are creating tables and columns from scratch, if there is a backend automated process for that, it would be really helpful. In Stibo, a similar feature is there wherein you can tag attributes to certain objects. It would be helpful if Informatica also provides a similar option. It would reduce the manual effort. It could be that such a feature is already there, but I am not aware of it."

"The cloud version of the Informatica, it's a very substandard product. They might say it's enterprise-ready but it's not at all ready. They need to add more features, such as improved data replication features. If you look at other tools, such as Matillion they are now cloud-native and flexible. Additionally, Informatica Cloud Data Integration should have a good migration strategy from Informatica PowerCenter to Informatica Cloud Data Integration."

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 has a high price point."

"Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company."

"We are quite happy with the licensing model."

"I rate the product's pricing a nine on a scale of one to ten, where one is low price, and ten is high price."

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

"We got a 50% discount."

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

"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

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Energy/Utilities Company

10%

Manufacturing Company

Educational Organization

Financial Services Firm

17%

Computer Software Company

12%

Manufacturing Company

10%

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 73% of the time

Alteryx vs Ataccama DQ Analyzer

Compared 27% of the time

More Ataccama DQ Analyzer Competitors

Informatica PowerCenter vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 6% of the time

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

Compared 6% of the time

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)

Compared 4% of the time

TIBCO EBX vs Informatica Intelligent Data Management Cloud (IDMC)

Compared 4% of the time

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Product Reports

Buyer's Guide

Data Scrubbing Software

March 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

March 2025

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