MANTA Flow vs SAS Data Management comparison

Why PeerSpot?

Manta and SAS are both solutions in the Data Governance category. Manta is ranked #37, while SAS is ranked #23 with an average rating of 10.0. Manta holds a 0.9% mindshare in DG, compared to SAS’s 1.7% mindshare. Additionally, 100% of Manta users are willing to recommend the solution, compared to 88% of SAS users who would recommend it.

MANTA Flow

Read 2 MANTA Flow reviews

1,230 Views
1,230 Comparison Views

100% willing to recommend

SAS Data Management

Read 19 SAS Data Management reviews

6,669 Views
2,334 Comparison Views

88% willing to recommend

MANTA Flow

SAS Data Management

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 3, 2024

SAS Data Management and MANTA Flow are products in the data management space. SAS often leads in pricing and support satisfaction, while MANTA is favored for its robust features.

Features: SAS Data Management offers extensive data integration, comprehensive data quality tools, and efficient management of complex datasets. MANTA Flow provides data lineage visualization, change impact analysis, and clear data pipeline mapping.

Ease of Deployment and Customer Service: SAS Data Management provides various deployment options with strong customer support focused on resolving data challenges. MANTA Flow offers agile deployment with an emphasis on simplifying complex data ecosystems and responsive technical support.

Pricing and ROI: SAS Data Management often involves higher setup costs with comprehensive solutions, potentially justifying the expense for extensive data needs. MANTA offers a cost-effective alternative with a focus on lineage tracking, potentially delivering higher ROI for detailed data path analysis.

To learn more, read our detailed MANTA Flow vs. SAS Data Management Report (Updated: September 2026).

Buyer's Guide

MANTA Flow vs. SAS Data Management

September 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

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

SAS Data Management

Ranking in Data Governance

23rd

Average Rating

8.6

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Integration (28th), Data Quality (9th)

Mindshare comparison

As of November 2026, in the Data Governance category, the mindshare of MANTA Flow is 0.9%, up from 0.6% compared to the previous year. The mindshare of SAS Data Management is 1.7%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
SAS Data Management	1.7%
MANTA Flow	0.9%
Other	97.4%

Data Governance

Featured Reviews

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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Namanjbaraiya Baru

Biostatistician at Lambda Therapeutic Research Ltd.

Data management has ensured compliant clinical trial datasets and supports reliable analysis

SAS Data Management's best feature is first, data reliability because SAS Data Management is a very trusted platform. The other valuable feature is data cleaning and the compliance that SAS Data Management provides. I can connect SAS Data Management with other SAS applications, as I am using SAS Viya, SAS 9.4, and SAS Enterprise Guide. The data query functionality of SAS Data Management is also very useful. Since I am using SAS Data Management, and SAS Data Management is well trusted by all regulatory authorities, the audit trails and security checks are very good. It is very reliable, very time-saving, and the chances of error are minimal.

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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

"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."

"Technical support works well, they resolve issues."

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

"For the warehouse and BI environment, SAS is very quick, very intuitive, very, very powerful, and very valuable."

"The ROI can be very high in terms of improving the reliability and accuracy of data used in forecasting and marketing models (ex: customer data, sales data)."

"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."

"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."

"If you compare it to SQL, the memory and development times are very quick."

"Previously our business users would have to write complex SQL or issue requests to the technical team in order to get the information needed, and they find it much easier using the Dataflux product to access the information stored in the database for the type of analyses they have to do on a day to day basis."

"This is an established product with powerful data analysis and varied options for user entry points."

"The product offers very good flexibility."

More SAS Data Management pros

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."

"Costly. Not great for non-ETL use cases."

"I would like the tool to include the ability to automate the modifications of the integrations."

"Complex, as usual with SAS"

"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."

"The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues."

"The stability could be a bit better. It's lacking in this area right now."

"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."

"The solution is quite expensive and hard to install/configure."

More SAS Data Management cons

Pricing and Cost Advice

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

"The solution is expensive."

"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."

"The tool is a bit expensive."

"The licensing model for vCenter is a perpetual license with yearly payments."

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Top Industries

By visitors reading reviews

Financial Services Firm

26%

Comms Service Provider

18%

Outsourcing Company

11%

Construction Company

Outsourcing Company

13%

Comms Service Provider

12%

Financial Services Firm

12%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	2
Large Enterprise	8

Questions from the Community

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What is your experience regarding pricing and costs for SAS Data Management?

From my experience, SAS Data Management is an expensive tool.

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What needs improvement with SAS Data Management?

SAS Data Management can be improved in terms of the learning curve.

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What is your primary use case for SAS Data Management?

My main use case for using SAS Data Management is data cleaning for my clinical trial data because my data is very large, and I need clean, reliable, and regulatory compliance data. My data comes f...

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Compared 6% of the time

BigID Next vs MANTA Flow

Compared 3% of the time

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Compared 7% of the time

WhereScape RED vs SAS Data Management

Compared 6% of the time

Collibra Platform vs SAS Data Management

Compared 5% of the time

Qlik Talend Cloud vs SAS Data Management

Compared 3% of the time

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Product Reports

Buyer's Guide

Data Governance

October 2026

Download MANTA Flow product report

Buyer's Guide

SAS Data Management

October 2026

Download SAS Data Management product report

Also Known As

No data available

SAS Data Management Platform, Data Management Platform, DataFlux

Overview

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.

Manta

SAS Data Management provides data integration, governance, and robust reporting tools. It connects to diverse data sources, ensuring quality management and enabling data analysis for technical and non-technical users.

SAS Data Management features flexible data flow creation, scheduling, and ETL control. It enhances data integration and metadata management with tools that support data standardization. Users benefit from its importing and exporting capabilities, connecting to multiple sources. It facilitates improved data quality management and offers a flexible language for diverse needs. Data visualization capabilities further support decision-making across industries, automating reports and data warehouses.

What are the key features of SAS Data Management?

User-friendly interface: Intuitive navigation facilitates ease of use.
Easy data flow creation: Streamlines processes for seamless data management.
Scheduling and ETL control: Automates tasks for increased efficiency.
Data integration: Connects datasets from multiple origins.
Metadata management: Ensures consistency and quality of data.
Data governance: Provides tools for managing data compliance.
Robust reporting: Delivers comprehensive insights through detailed reports.

What benefits and ROI should be considered?

Data standardization: Enhances data predictability and usability.
Data quality management: Improves accuracy and integrity.
Flexible language: Adapts to specific user requirements.
Import/export capabilities: Facilitates seamless data transitions.
Support for diverse users: Offers tools suitable for varied skill levels.
Automation features: Saves time by reducing manual processes.

SAS Data Management helps industries like finance integrate diverse data sources for analytics and reporting. It is used for tasks such as financial reporting, credit risk analysis, and data cleansing. Through user-driven automation, it aids in aligning data warehouses and generating insightful visual outputs, making it ideal for analyzing structured data from sources like Excel and CSV files.

SAS

Sample Customers

Information Not Available

Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance

Buyer's Guide

MANTA Flow vs. SAS Data Management

September 2026

Free Report: MANTA Flow vs. SAS Data Management

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