Ataccama ONE Platform vs MANTA Flow comparison

Ataccama and Manta are both solutions in the Data Governance category. Ataccama is ranked #11 with an average rating of 8.0, while Manta is ranked #31. Ataccama holds a 2.5% mindshare in DG, compared to Manta’s 0.7% mindshare. Additionally, 100% of Ataccama users are willing to recommend the solution, compared to 100% of Manta users who would recommend it.

Ataccama ONE Platform

Read 10 Ataccama ONE Platform reviews

2,497 Views
1,398 Comparison Views

100% willing to recommend

MANTA Flow

Read 2 MANTA Flow reviews

393 Views
393 Comparison Views

100% willing to recommend

Ataccama ONE Platform

MANTA Flow

Comparison Buyer's Guide

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Executive SummaryUpdated on Aug 13, 2025

Ataccama ONE Platform and MANTA Flow are in the data management and lineage category, each offering unique strengths. Ataccama ONE leads in integration and governance, while MANTA Flow is superior in lineage visualization.

Features: Ataccama ONE Platform offers robust data management, master data management, and metadata management, integrating efficiently with various data sources. MANTA Flow focuses on automatic lineage visualizations, excelling in transparency and detail across complex data landscapes.

Ease of Deployment and Customer Service: Ataccama ONE Platform provides flexible deployment options, including cloud and on-premises, backed by responsive customer service. MANTA Flow offers straightforward cloud-based deployment, simplifying setup but possibly with limited service options compared to Ataccama.

Pricing and ROI: Ataccama ONE Platform is noted for competitive setup costs and strong ROI in data management efficiency. MANTA Flow, though potentially more expensive due to its specialized features, offers significant returns through improved data lineage visibility, which can justify the cost for those prioritizing data transparency.

To learn more, read our detailed Ataccama ONE Platform vs. MANTA Flow Report (Updated: July 2025).

Buyer's Guide

Ataccama ONE Platform vs. MANTA Flow

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 Governance

11th

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

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

MANTA Flow

Ranking in Data Governance

31st

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Data Governance category, the mindshare of Ataccama ONE Platform is 2.5%, up from 2.0% compared to the previous year. The mindshare of MANTA Flow is 0.7%, down from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance

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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LeandroSodré

Data Governance Analyst at Data Meaning, Inc.

Very Powerful, with cloud based scalability, and highly efficient for both business and technical teams

I had some difficulties, trying to use the direct link which is metadata through files that you can upload to MANTA Flow and you can just say from there where that data is going. But we just figured out that sometimes, depending on the level of the granularity that if you want to link the object, you can not. For example, if you want to link the objects just by schema, sometimes it does not work. So you need to scroll down and link each table. Sometimes the table level does not work, and you need to go deeper and go to link column to column. We figured out that this was a bug in MANTA Flow, and we talked to them and I think they were fixing it. But in our case, we just realized that if we could link the objects at the lowest level possible, it would work. I was trying to develop, right now, some kind of automation to compare the listed revision that I have in MANTA Flow with some other revision. And I would like to do it in an automatic way. I would like to have some kind of API where I could call this object and the revision that I want and the same object and another revision that I wanted to compare with. And I could not see it as some API in MANTA Flow, and we have this feature on the user interface. I think it would be very powerful because if you want to automate just warn the data owners the structures were updated by looking at the object level, and send an email to these owners to see if that change makes sense.

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

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

"It is also easy to deploy."

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

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

"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."

"I believe it is very powerful. And for technicians, you can see the impact analysis, you can compare versions. So you can see some revisions against some of the oldest ones. You can compare and see which pipelines were updated between them. I think it is very helpful to both sides, the technical and business teams."

"The solution is stable. We have not found any fatal errors yet."

Cons

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

"Data movement is a pain."

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

"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."

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

"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."

"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."

"I would like to have some kind of API where I could call this object and the revision that I want and the same object and another revision that I wanted to compare with. And I could not see it as some API in MANTA Flow, and we have this feature on the user interface."

"One area of improvement for MANTA Flow is to add as many new data sources as possible. We have found that maybe they can support 100, but not 101, unfortunately."

Pricing and Cost Advice

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

"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."

"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."

"The product is reasonably priced."

"As a service company, we don't care about the price because the customer is paying, but the customers consider MANTA to be reasonable."

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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

40%

Non Profit

12%

Computer Software Company

Manufacturing Company

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...

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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

Profisee vs Ataccama ONE Platform

Compared 5% of the time

More Ataccama ONE Platform Competitors

Collibra Lineage vs MANTA Flow

Compared 55% of the time

Microsoft Purview Data Governance vs MANTA Flow

Compared 25% of the time

Alation Data Catalog vs MANTA Flow

Compared 21% of the time

More MANTA Flow Competitors

Product Reports

Buyer's Guide

Ataccama ONE Platform

August 2025

Download Ataccama ONE Platform product report

Buyer's Guide

Data Governance

July 2025

Download MANTA Flow product report

Also Known As

Ataccama DQ Analyzer

No data available

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

Data Lineage Done Right
MANTA’s unified lineage platform maps all information flows to give you a complete overview of your data pipeline. Save money on manual labor by automating data lineage discovery; keep your data pipeline healthy by preventing data incidents; and migrate painlessly to the cloud.

Manta

Sample Customers

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

Information Not Available

Buyer's Guide

Ataccama ONE Platform vs. MANTA Flow

July 2025

Free Report: Ataccama ONE Platform vs. MANTA Flow

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