Ataccama ONE Platform vs Informatica Cloud Data Quality comparison

Ataccama and Informatica are both solutions in the Data Quality category. Ataccama is ranked #4 with an average rating of 8.0, while Informatica is ranked #3 with an average rating of 7.9. Ataccama holds a 9.8% mindshare in DQ, compared to Informatica’s 6.6% mindshare. Additionally, 100% of Ataccama users are willing to recommend the solution, compared to 75% of Informatica users who would recommend it.

Ataccama ONE Platform

Read 10 Ataccama ONE Platform reviews

2,497 Views
949 Comparison Views

100% willing to recommend

Informatica Cloud Data Quality

Read 17 Informatica Cloud Data Quality reviews

951 Views
941 Comparison Views

75% willing to recommend

Ataccama ONE Platform

Informatica Cloud Data Quality

Comparison Buyer's Guide

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Executive SummaryUpdated on Aug 13, 2025

Informatica Cloud Data Quality and Ataccama ONE Platform compete in the data quality solutions category. While Informatica is known for its integration capabilities, Ataccama stands out with its user-friendly interface and AI support, giving it an edge in usability.

Features: Informatica Cloud Data Quality provides robust Master Data Management, real-time data quality monitoring, and seamless integration with various modules like CDI and CDP. Ataccama ONE Platform offers flexibility in data transformations, AI-driven profiling, and smooth integration with tools such as Collibra, making it versatile.

Room for Improvement: Informatica could enhance spatial data handling, workflow automation, and integration with older technology. Ataccama could improve its documentation, simplify non-standard data source integration, and reduce coding requirements for setup.

Ease of Deployment and Customer Service: Informatica supports versatile deployment across clouds and benefits from strong customer support, though continuity can be improved. Ataccama, typically used on-premises, has supportive customer service but presents learning curves in cloud environments.

Pricing and ROI: Informatica is seen as more expensive with various subscription tiers, while Ataccama is cost-effective and often free. Both offer good ROI, with Ataccama's pricing particularly appealing to budget-conscious organizations.

To learn more, read our detailed Ataccama ONE Platform vs. Informatica Cloud Data Quality Report (Updated: July 2025).

Buyer's Guide

Ataccama ONE Platform vs. Informatica Cloud 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

Ataccama ONE Platform

Ranking in Data Quality

4th

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Scrubbing Software (2nd), Master Data Management (MDM) Software (4th), Data Governance (11th)

Informatica Cloud Data Quality

Ranking in Data Quality

3rd

Average Rating

8.0

Reviews Sentiment

5.9

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 Ataccama ONE Platform is 9.8%, up from 6.7% compared to the previous year. The mindshare of Informatica Cloud Data Quality is 6.6%, down from 9.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality

Featured Reviews

JohnZacharkan

Senior Architect at SourcEdge

Enhanced data quality with machine learning support in diverse environments

We used Ataccama ONE to read data from the mainframe for a data quality perspective. There's a significant lack in that area with tools being able to interface with mainframe. MetLife has a diverse environment, including DB2, Oracle, SQL Server, legacy, and vSAN files. Being able to work in these various environments and put them to a single data quality tool was very appealing. Additionally, Ataccama supported AI and machine learning, which was one of the features I liked. Furthermore, we were able to interface bidirectionally with Collibra for data governance, catching data quality issues before propagating through the system.

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Mehmet SukruKaya

Senior Data Analytics Manager at Esan

Improved data quality significantly enhances project efficiency and effectiveness

I am not utilizing the data quality rules management part yet. We had a bad experience before Informatica Cloud Data Quality. We started a data analytics project that took more than three months of wasted time because we couldn't use the data to create the optimization model. If we have an application like Informatica Cloud Data Quality or a data quality platform, we can finish the project in less than three months. This is the on-prem data that we ingested. We don't use any cloud data that we have. For now, we are just using the on-prem data, and we don't have any integration from the data outside of the on-prem. I would recommend it to other users. On a scale of 1-10, I rate this solution a 9.

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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 desktop version of the solution was particularly valuable to me, primarily for creating components. We opted for the data quality aspect to assess the quality of our data warehouse. The functionalities available allowed us to not only check data quality but also serve as an ETL tool. This versatility enabled data transformation and storage in various formats, including files on platforms like SharePoint or local online directories. The flexibility of the tool catered to the specific needs of those building components, contributing to our desired outcomes."

"The ease of use of the user console is valuable."

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

"It is also easy to deploy."

"The drag-and-drop feature is incredibly flexible and straightforward."

"The notable aspect lies in the workflow structure, where building the workflow aligns significantly with data governance."

"Customer service was excellent, and I would give it a ten out of ten."

"The product’s important feature is data profiling and quality check."

"I was responsible for installing Informatica Cloud Data Quality on Google infrastructure, which was straightforward."

"Stability-wise, I rate the solution a ten out of ten."

"The profiling features are much better than the on-premise version."

"Initial setup was fairly easy."

"The quality of the data improves with Informatica Cloud Data Quality."

"An advantage is its seamless integration with other Informatica capabilities, making data quality a deeply embedded part of the solution."

"The most valuable feature is the rule specification."

"The reusability factors are nice. The Cloud Data Quality is much better. A major flaw in the previous version was integration with the catalog, which is now seamless."

More Informatica Cloud Data Quality pros

Cons

"Data movement is a pain."

"Speaking specifically about the version we use, version 12.3, I'm unsure if this has been addressed in subsequent versions. One improvement I'd like to see pertains to the language used in certain components, especially in data quality checks. The language complexity posed a challenge for beginners. Although we had on-site assistance from Ataccama, making it manageable for us, some individuals found it difficult to comprehend, necessitating additional support. The provision of a comprehensive guide for on-premise installation can also be enhanced. The lack of detailed information on the solution's workings and the overwhelming nature of notifications, with extensive content, were areas of concern. Streamlining the notification content in newer versions would significantly expedite issue resolution."

"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."

"The interfacing to tools such as Collibra was somewhat cumbersome and required more thought."

"There is a notable challenge in having to provide detailed filters before the site recognizes the search criteria."

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

"It is complicated to fetch 20-25 reports when we profile the data."

"I believe it would be beneficial if it could enhance its flexibility to connect with a wider range of downstream systems beyond just Excel and Postgres."

"You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC)."

"In the on-premises version, features like web service consumer and web service provider are available, but these functionalities are currently unavailable in the cloud edition."

"The downside of Informatica Cloud Data Quality is that it requires a developer to write rules and maintain the systems. This creates a significant cost and time burden."

"Informatica Cloud Data Quality could improve by adding more algorithms for matching and mastering. We currently only have five or six. Additionally, the parallelism in data is better in other solutions, such as IBM."

"Improving the UI to be more business user-friendly would also be beneficial."

"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."

"Logical views are a little bit behind in comparison to the on-premise version."

"The high price of the product is an area of concern where improvements are required."

More Informatica Cloud Data Quality cons

Pricing and Cost Advice

"Despite not being extremely low-cost, the pricing appears reasonable, making it a profitable and viable choice for companies that prioritize data security and adhere to specific policies."

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

"The product is reasonably priced."

"Our licensing model wasn't user-specific; instead, we paid fees for the engine and maintenance. As we didn't have a support contract, maintenance fees were likely nonexistent. Regarding the upgrade, we had an account for the initial two or three years, and considering the features provided by the solution, the pricing was reasonable."

"Informatica Cloud Data Quality is a costly solution."

"The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."

"We pay for a yearly subscription."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Manufacturing Company

10%

Computer Software Company

Insurance Company

Financial Services Firm

11%

Computer Software Company

11%

Manufacturing Company

11%

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Ataccama ONE Platform?

The notable aspect lies in the workflow structure, where building the workflow aligns significantly with data governance.

See all answers

What needs improvement with Ataccama ONE Platform?

The interfacing to tools such as Collibra was somewhat cumbersome and required more thought. While it was possible to configure these interfaces, they required some coding. It would be beneficial i...

See all answers

What is your primary use case for Ataccama ONE Platform?

Some of the use cases for Ataccama ONE included data quality, identifying and mapping to Collibra, which was their data governance tool. It was critical for them to interface directly with that too...

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What do you like most about Informatica Cloud Data Quality?

The profiling features are much better than the on-premise version.

See all answers

What needs improvement with Informatica Cloud Data Quality?

I think it would be very useful to have the same features on the data center version available on the cloud version. I remember when I used it, there was some limitation in one of the data quality ...

See all answers

What is your primary use case for Informatica Cloud Data Quality?

I worked on a project where we had to use these tools to execute the data quality requirements from assessment perspectives to scorecards and similar tasks. I haven't used any other tools, so I can...

See all answers

Comparisons

Informatica Intelligent Data Management Cloud (IDMC) vs Ataccama ONE Platform

Compared 17% of the time

Microsoft Purview Data Governance vs Ataccama ONE Platform

Compared 17% of the time

Collibra Governance vs Ataccama ONE Platform

Compared 13% of the time

Talend Data Quality vs Ataccama ONE Platform

Compared 8% of the time

FinScore Data Quality vs Ataccama ONE Platform

Compared 3% of the time

More Ataccama ONE Platform Competitors

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

Compared 62% of the time

IBM Infosphere Information Analyzer vs Informatica Cloud Data Quality

Compared 12% of the time

SAP Data Quality Management vs Informatica Cloud Data Quality

Compared 9% of the time

More Informatica Cloud Data Quality Competitors

Product Reports

Buyer's Guide

Ataccama ONE Platform

August 2025

Download Ataccama ONE Platform product report

Buyer's Guide

Informatica Cloud Data Quality

August 2025

Download Informatica Cloud Data Quality product report

Also Known As

Ataccama DQ Analyzer

Cloud Data Quality Radar

Overview

Ataccama ONE Platform provides a comprehensive solution for profiling, cleansing, and integrating data with a user-friendly drag-and-drop interface, enhancing data quality and governance.

Ataccama ONE Platform enhances data profiling and cleansing with easy configuration and robust integration, such as with Collibra. Users value its drag-and-drop capabilities, supporting mainframe, AI, and machine learning. The platform improves data security through profiling and masking while offering extensive integration options. Some areas needing improvement include large database handling and batch management. Additional support for social media data sources, better documentation, and clearer language would be beneficial. Enhanced interfaces, particularly with Collibra, and refined notification systems are desired. This platform suits users seeking improvements in data quality, governance classification, and data migration, connecting with sources like Microsoft SQL, Oracle, and Teradata.

What are the key features of Ataccama ONE Platform?

Data Profiling and Cleansing: Enhances data quality with easy configuration.
Flexible Integration: Seamless integration with platforms like Collibra.
Drag-and-Drop Interface: Provides ease in workflow management.
Support for AI and Machine Learning: Offers advanced analytical capabilities.
Data Security: Ensures protection with profiling and masking features.

What benefits and ROI can users expect?

Improved Data Quality: Enhances data accuracy and reliability.
Enhanced Governance: Facilitates better metadata classification and compliance.
Increased Efficiency: Streamlines data integration and transformation processes.
Advanced Analytics: Leverages AI for insightful data analysis.

In industries like finance and healthcare, Ataccama ONE Platform facilitates data quality management and ensures compliance by connecting with data sources such as Microsoft SQL and Oracle. These industries utilize it for data migration tasks, ensuring data integrity through mapping and transformation processes.

Ataccama

Informatica Cloud Data Quality Radar is a cloud application that quickly identifies, fixes, and monitors data quality problems in your business applications—wherever they are, in the cloud or on-premise.

This easy-to-use, browser-based tool empowers line-of-business managers to take ownership of the data quality process so business can maximize the return on trusted data. Informatica Cloud Data Quality Radar enables you to quickly assess the strengths and weaknesses in your data, to track improvements in the data over time, and to calculate data quality scores for objects and field entities with the flexibility to filter and drill down on specific records for better detection of problems.

Informatica

Sample Customers

Société Générale, First Data, Raiffeisenbank International, T-Mobile, Avast, RSA, Toronto Public Library

Freddie Mac, Rabobank

Buyer's Guide

Ataccama ONE Platform vs. Informatica Cloud Data Quality

July 2025

Free Report: Ataccama ONE Platform vs. Informatica Cloud Data Quality

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