Atlan vs MANTA Flow comparison

Atlan and Manta are both solutions in the Data Governance category. Atlan is ranked #12 with an average rating of 8.3, while Manta is ranked #37. Atlan holds a 2.0% mindshare in DG, compared to Manta’s 0.8% mindshare. Additionally, 100% of Atlan users are willing to recommend the solution, compared to 100% of Manta users who would recommend it.

Atlan

Read 10 Atlan reviews

2,229 Views
2,162 Comparison Views

100% willing to recommend

MANTA Flow

Read 2 MANTA Flow reviews

644 Views
644 Comparison Views

100% willing to recommend

Atlan

MANTA Flow

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 3, 2024

MANTA Flow and Atlan are products in the data management category. Atlan has the upper hand with a comprehensive feature set that justifies its premium pricing, while MANTA Flow appeals to those seeking cost-effectiveness and strong customer support.

Features: MANTA Flow focuses on data lineage, impact analysis, and detailed visualizations for compliance and risk management. Atlan offers a collaborative platform, scalability, and ease of integration across various ecosystems. MANTA Flow prioritizes depth in data processing, while Atlan caters to collaborative environments.

Ease of Deployment and Customer Service: MANTA Flow offers straightforward deployment with robust customer service, emphasizing quick setup and efficient support solutions. Atlan has a mature deployment model with extended support services, requiring a longer integration phase but providing comprehensive assistance.

Pricing and ROI: MANTA Flow, with lower setup costs, is attractive for organizations with tighter budgets, offering quick ROI with lower financial risk. Atlan requires a higher initial investment but presents long-term benefits with its extensive feature set, appealing to those seeking long-term value through rich functionalities.

To learn more, read our detailed Atlan vs. MANTA Flow Report (Updated: April 2026).

Buyer's Guide

Atlan vs. MANTA Flow

April 2026

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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

Atlan

Ranking in Data Governance

12th

Average Rating

8.4

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

Metadata Management (4th)

MANTA Flow

Ranking in Data Governance

37th

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2026, in the Data Governance category, the mindshare of Atlan is 2.0%, up from 1.8% compared to the previous year. The mindshare of MANTA Flow is 0.8%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
Atlan	2.0%
MANTA Flow	0.8%
Other	97.2%

Data Governance

Featured Reviews

Peter Neumann

IT consultant at Pathfinder

Has struggled to meet business needs but supports technical data exploration and transparency

Atlan can be improved by concentrating more on business data since it is developed from developers for developers, and it needs to be more business relevant. For instance, when re-importing data model diagrams, Atlan provides some diagram automation that is not connected to the business glossary, which I consider a significant fault. Atlan needs to improve by focusing more on the business side of data, not only on technical aspects.If you want to focus on technical considerations, it would be beneficial to have an interface with a real business data modeling tool such as Erwin or other business data tools, since data modeling is not the same as Draw.io. Additionally, Atlan can improve its workflows, which are hard to understand. Working with templates, Excel import, export, and running automations is not self-explanatory, and you always need help from Atlan support team. If business people want to use it and run their own reports, it must be easier to customize for their business needs.

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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

"Overall, I rate Atlan as a ten out of ten."

"Overall, I rate Atlan a nine out of ten."

"As a senior analytics engineer, Atlan's ability to show end-to-end data lineage is the most important feature for me."

"The best feature of Atlan is its integration with communication platforms like Microsoft Teams and Slack, so business users don't have to go into a data catalog to see metadata about data assets."

"Atlan has positively impacted the organization since it helps in discovering already available assets, allowing for reduction of redundant ingestion of external data and reduction of time to market for any project."

"The AI part is integrated for enriching metadata engagement, making it a comprehensive tool."

"The interfaces and automated imports have helped me with transparency, as we have different sources from different techniques such as DBT, Snowflake, and other regular databases, making it effective to connect these sources and navigate through them, filter them, and enrich the data with additional meter information."

"By switching to Atlan, we have increased our productivity and saved a lot of business time."

More Atlan pros

"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."

"Technical support works well, they resolve issues."

Cons

"In my experience, it might be less suited for collaboration across teams."

"The challenge is in the lineage, where it requires improvement. Atlas needs to capture areas where organizations use less known applications."

"Certain UI changes could make Atlan more user-friendly."

"There are some improvements. There is a feature called Playbooks, which basically allows me to automate certain activities that would otherwise be manual. It's a very interesting feature, but there is room to improve it because, depending on the task you automate, the playbooks seem to have a hard time handling the task. So, it could be improved there. Even though it's a great feature, it can evolve further."

"Working with templates, Excel import, export, and running automations is not self-explanatory, and you always need help from Atlan support team."

"One area that could be improved is the capability to find duplicates of datasets."

"One of the main areas for improvement is its governance capabilities. Atlan supports only basic out-of-the-box workflows, and it becomes challenging to customize features like how data owners should approve access to data assets."

"One area that could be improved is the capability to find duplicates of datasets."

More Atlan cons

"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."

"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."

Pricing and Cost Advice

"We pay per-user license. It's a different classification model than with other solutions, where they usually charge you for resources. So, that was a better model for us. And because of this difference in models or classification, it was cheaper for us to go with Atlan."

"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

Manufacturing Company

17%

Financial Services Firm

11%

Insurance Company

Computer Software Company

Financial Services Firm

33%

Insurance Company

12%

Computer Software Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	9

No data available

Questions from the Community

What is your experience regarding pricing and costs for Atlan?

My experience with pricing, setup cost, and licensing is that the licensing cost is a bit flexible but not affordable for smaller organizations. It might be way out of their budget, but it is very ...

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What needs improvement with Atlan?

Atlan can be improved by enhancing their support process by reducing the resolution time. They have really bad and incomplete documentation, so they should work on the documentation as well, especi...

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What is your primary use case for Atlan?

My main use case for Atlan is to define a flexible set of metadata, including measuring the quality of said data. Atlan is also a partner of ours, so we use it to integrate with our own tool. It al...

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Comparisons

Microsoft Purview Data Governance vs Atlan

Compared 22% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Atlan

Compared 12% of the time

Collibra Platform vs Atlan

Compared 12% of the time

Alation Data Catalog vs Atlan

Compared 11% of the time

Ataccama ONE Platform vs Atlan

Compared 3% of the time

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Collibra Platform vs MANTA Flow

Compared 30% of the time

Microsoft Purview Data Governance vs MANTA Flow

Compared 20% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs MANTA Flow

Compared 13% of the time

Alation Data Catalog vs MANTA Flow

Compared 10% of the time

Unifi vs MANTA Flow

Compared 7% of the time

More MANTA Flow Competitors

Product Reports

Buyer's Guide

Atlan

May 2026

Download Atlan product report

Buyer's Guide

Data Governance

April 2026

Download MANTA Flow product report

Overview

Atlan is a comprehensive data management platform designed to enhance data democratization, governance, and collaboration across departments in organizations. It offers a centralized data catalog, intuitive user interface, and robust governance framework to ensure data security and compliance. Users appreciate its efficiency in streamlining processes, promoting better communication, and providing insightful analytics, which drive organizational growth and success.

Atlan

MANTA Flow is a data lineage platform designed to deliver insights into the data pipeline, enhancing transparency and improving decision-making for data-heavy organizations.

It efficiently maps out and visualizes data flow across complex environments, allowing companies to trace data origin, transformation, and destination. With its robust analytical capabilities, MANTA Flow significantly streamlines data governance and compliance efforts, offering a detailed overview of all dependencies and potential risk factors within the data landscape.

What are the most essential features of MANTA Flow?

Automated Lineage Capture: Automatically traces data sources and transformations, reducing the need for manual documentation.
Comprehensive Visualization: Provides a clear and interactive map of data flow, making it easier to understand complex dependencies.
Impact Analysis: Assesses the effects of changes in data processes, minimizing potential risks.
Regulatory Compliance Facilitation: Aids in adhering to data governance policies by offering thorough lineage records.
Multi-Environment Support: Manages data lineage across diverse platforms, centralizing insights.

What benefits and ROI should users expect?

Improved Data Reliability: Enhances data integrity by ensuring transparency in data processing.
Time Reduction in Tracing Errors: Speeds up troubleshooting by identifying errors' root causes swiftly.
Cost Efficiency: Lowers overhead by automating lineage tasks and reducing manual labor.
Enhanced Decision-Making: Informs strategic decisions by delivering comprehensive data insights.
Scalability: Supports growth by effortlessly adapting to expanding data environments.

MANTA Flow is implemented across sectors including finance and healthcare, where tracking data lineage is crucial for meeting compliance standards. It provides tailored solutions adapting to unique industry requirements, ensuring data processing transparency and accuracy in high-stakes environments.

Free Report: Atlan vs. MANTA Flow

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