Ataccama ONE Platform vs Talend Data Quality comparison

Ataccama and Talend are both solutions in the Data Quality category. Ataccama is ranked #4 with an average rating of 8.0, while Talend is ranked #6 with an average rating of 8.0. Ataccama holds a 8.3% mindshare in DQ, compared to Talend’s 4.4% mindshare. Additionally, 100% of Ataccama users are willing to recommend the solution, compared to 89% of Talend users who would recommend it.

Ataccama ONE Platform

Read 6 Ataccama ONE Platform reviews

1,989 Views
597 Comparison Views

100% willing to recommend

Talend Data Quality

Read 20 Talend Data Quality reviews

1,330 Views
678 Comparison Views

89% willing to recommend

Ataccama ONE Platform

Talend Data Quality

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Executive SummaryUpdated on Jan 6, 2025

Talend Data Quality and Ataccama ONE Platform compete in data management. While Talend is cost-effective with strong support, Ataccama's feature-rich offerings give it an advantage.

Features: Talend Data Quality features data profiling, cleansing, and monitoring with a focus on integration simplicity. Ataccama ONE provides machine learning functionalities, data governance tools, and a comprehensive data management solution.

Room for Improvement: Talend Data Quality could enhance advanced analytics and broader machine learning capabilities. It may benefit from more extensive data governance features and a richer set of pre-built connectors. Ataccama ONE could improve on its ease of deployment and reduce resource intensity. There could be enhancements in its user interface and simplification of setup for less complex environments.

Ease of Deployment and Customer Service: Talend Data Quality is recognized for straightforward deployment and accessible support. Ataccama ONE offers a modular deployment option with a more intricate setup, requiring additional resources but is supported by effective customer service for complex deployments.

Pricing and ROI: Talend Data Quality is known for lower initial setup costs, appealing to budget-constrained businesses and offering favorable ROI. Ataccama ONE justifies its higher initial investment with a substantial ROI through its comprehensive feature set, beneficial for organizations focused on robust data management.

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

Buyer's Guide

Ataccama ONE Platform vs. Talend 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

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

Talend Data Quality

Ranking in Data Quality

6th

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Scrubbing Software (2nd)

Mindshare comparison

As of July 2025, in the Data Quality category, the mindshare of Ataccama ONE Platform is 8.3%, up from 3.1% compared to the previous year. The mindshare of Talend Data Quality is 4.4%, up from 4.2% 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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WesamHabboub

Chief Consultant at Insight360

Stands out for its user-friendly interface, robust community support, competitive pricing and strategic approach to improving data accuracy

Its greatest asset lies in its user-friendly interface, specifically within the Talend Open Studio, known for its ease of use and familiarity among users. The robust community support proves invaluable when encountering challenges, providing a reliable resource for issue resolution. Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users. The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work. This functionality enables a streamlined process for identifying, assigning, and subsequently addressing data quality issues.

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

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

"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."

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

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

"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."

"It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the software development life cycle, before you project anything into the production environment, you have to test it in the test environment to make sure that when the data goes into production, it works, but these are all production files. For example, we acquired a new company or a new state for which we're going to do the entire back office, which is related to claims processing, payments, and member enrollment every year. If you get the production data and process it again, it becomes a compliance issue. Therefore, for any migrations that are happening, we have developed a new capability called pattern masking. This feature looks at those files, masks that information, and processes it through the system. With this, there is no PHI and PII element, and there is data integrity across different systems. It has seamless integration with different databases. It has components using which you can easily integrate with different databases on the cloud or on-premise. It is a drag and drop kind of tool. Instead of writing a lot of Java code or SQL queries, you can just drag and drop things. It is all very pictorial. It easily tells you where the job is failing. So, you can just go quickly and figure out why it is happening and then fix it."

"It has definitely streamlined certain processes."

"We are able to get emails from URLs very easily using this function when others fail."

"Provides a flexible development environment to the coder."

"The jobs are visual and this has improved collaboration between colleagues. It’s much easier to understand a visual job than a piece of Java code."

"tLogRows are also great for finding bad data."

"We have used value frequency and patterns. We have been it impressed with these functions as they have helped us in making decisions in transformation work."

More Talend Data Quality pros

Cons

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

"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."

"Data movement is a pain."

"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."

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

"There are more functions in a non-streamlined manner, which could be refined to arrive at a better off-the-shelf functions."

"In redundancy analysis, the query is failing to bring non-matched records. This query is an internal script. There is no way (that I know of) to fix this syntax error for future runs."

"SQL for displaying underlying data in non-match results does not work."

"NullPointerExceptions are going to be the death of me and are a big reason for our transition away from Talend. One day, it is fine with a 1000 blank rows, then the next day, it will find one blank cell and it breaks down."

"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."

"When we upgraded to Version 6.4.1, we tried using a GIT repository instead of a SVN repository. After a few incidents where things disappeared and changes were not saved, we decided to go back to a SVN repository."

"There are too many functions which could be streamlined."

"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components. This would make things even easier."

More Talend 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."

"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."

"The product is reasonably priced."

"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."

"It's a subscription-based platform, we renew it every year."

"It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the same for the whole big data solution, which comes with Talend DI, Talend DQ, and TDM."

"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."

"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

11%

Manufacturing Company

Insurance Company

Computer Software Company

13%

Financial Services Firm

11%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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...

See all answers

What do you like most about Talend Data Quality?

The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.

See all answers

What is your experience regarding pricing and costs for Talend Data Quality?

There are many data quality tools available, but some can be expensive. Talend Data Quality stands out because it is often provided for free if you already have Talend Data Integration, which means...

See all answers

What needs improvement with Talend Data Quality?

Talend suite might have a missing product, particularly in the commercial master aspect. This would contribute to completing the overall picture, though the focus isn't necessarily on economic cons...

See all answers

Comparisons

Microsoft Purview Data Governance vs Ataccama ONE Platform

Compared 22% of the time

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

Compared 19% of the time

Collibra Governance vs Ataccama ONE Platform

Compared 16% of the time

Profisee vs Ataccama ONE Platform

Compared 7% of the time

IBM Infosphere Information Analyzer vs Ataccama ONE Platform

Compared 4% of the time

More Ataccama ONE Platform Competitors

Ataccama DQ Analyzer vs Talend Data Quality

Compared 31% of the time

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

Compared 24% of the time

Precisely Trillium vs Talend Data Quality

Compared 15% of the time

Melissa Data Quality vs Talend Data Quality

Compared 11% of the time

More Talend Data Quality Competitors

Product Reports

Buyer's Guide

Ataccama ONE Platform

July 2025

Download Ataccama ONE Platform product report

Buyer's Guide

Talend Data Quality

July 2025

Download Talend Data Quality product report

Overview

Ataccama ONE Platform is a comprehensive data management and governance solution designed to address the challenges faced by organizations in managing and leveraging their data assets. Its primary use case is to enable organizations to gain control over their data, improve data quality, and ensure compliance with data regulations.

The most valuable functionality of Ataccama ONE includes data profiling, data quality management, data integration, master data management, and metadata management. These features allow organizations to understand the quality and structure of their data, integrate data from various sources, create a single view of their master data, and manage metadata to ensure data lineage and governance.

By leveraging Ataccama ONE, organizations can achieve several benefits. Firstly, it helps in improving data quality by identifying and resolving data issues, ensuring accurate and reliable data for decision-making. Secondly, it enables organizations to streamline data integration processes, reducing the time and effort required for data integration projects. Thirdly, it facilitates effective master data management, enabling organizations to have a consistent and accurate view of their critical data entities. Lastly, it helps organizations in complying with data regulations by providing data lineage, data privacy, and data governance capabilities.

Ataccama

The data quality tools in Talend Open Studio for Data Quality enable you to quickly take the first big step towards better data quality for your organization: getting a clear picture of your current data quality. Without having to write any code, you can perform data quality analysis tasks ranging from simple statistical profiling, to analysis of text fields and numeric fields, to validation against standard patterns (email address syntax, credit card number formats) or custom patterns of your own creation.

Talend

Sample Customers

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

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Buyer's Guide

Ataccama ONE Platform vs. Talend Data Quality

July 2025

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