MANTA Flow vs Qlik Talend Cloud comparison

Manta and Qlik are both solutions in the Data Governance category. Manta is ranked #34, while Qlik is ranked #8 with an average rating of 8.0. Manta holds a 0.8% mindshare in DG, compared to Qlik’s 1.8% mindshare. Additionally, 100% of Manta users are willing to recommend the solution, compared to 88% of Qlik users who would recommend it.

MANTA Flow

Read 2 MANTA Flow reviews

453 Views
453 Comparison Views

100% willing to recommend

Qlik Talend Cloud

Read 54 Qlik Talend Cloud reviews

6,400 Views
1,216 Comparison Views

88% willing to recommend

MANTA Flow

Qlik Talend Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 18, 2025

Qlik Talend Cloud and MANTA Flow are products competing in data integration and lineage. Qlik Talend Cloud has an upper hand in versatile data management, while MANTA Flow is superior in metadata management and data lineage for traceability.

Features: Qlik Talend Cloud supports wide-ranging data sources, offers advanced data transformation capabilities, and ensures robust API integration, providing a versatile data management solution. MANTA Flow is designed for detailed data lineage, providing precision in metadata management and effective data governance.

Ease of Deployment and Customer Service: Qlik Talend Cloud offers streamlined deployment with comprehensive documentation and supportive customer service. MANTA Flow focuses on precise deployment with detailed guidance for its specialized use case, providing focused support.

Pricing and ROI: Qlik Talend Cloud offers competitive pricing plans, emphasizing extended data management capabilities for favorable ROI. MANTA Flow is priced higher but delivers high value through its specialized data lineage and governance focus.

To learn more, read our detailed MANTA Flow vs. Qlik Talend Cloud Report (Updated: December 2025).

Buyer's Guide

MANTA Flow vs. Qlik Talend Cloud

December 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

MANTA Flow

Ranking in Data Governance

34th

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Qlik Talend Cloud

Ranking in Data Governance

8th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (9th), Data Quality (3rd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (7th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (9th), Integration Platform as a Service (iPaaS) (9th)

Mindshare comparison

As of January 2026, in the Data Governance category, the mindshare of MANTA Flow is 0.8%, up from 0.7% compared to the previous year. The mindshare of Qlik Talend Cloud is 1.8%, down from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Market Share Distribution
Product	Market Share (%)
Qlik Talend Cloud	1.8%
MANTA Flow	0.8%
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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Herivao Jus Winny

IT Consultant at a tech services company with 201-500 employees

Has automated recurring data flows and improved accuracy in reporting

The best features of Talend Data Integration are its rich set of components that let you connect to almost any data design intuitive and its strong automation and scheduling capabilities. The TMap component is especially valuable because it allows flexible transformation, joins, and filtering in a single place. I also rely a lot on context variables to manage different environments like Dev, Test, and production, without changing the code. The error handling and logging tools are very helpful for monitoring and troubleshooting, which makes the workflow more reliable. Talend Data Integration has helped our company by automating and standardizing data processes. Before, many of these tasks were done manually, which took more time and often led to errors. With Talend Data Integration, we built automated pipelines that extract, clean, and load data consistently. This not only saves hours of manual effort, but also improves the accuracy and reliability of data. As a result, business teams had faster access to trustworthy information for reporting and decision making, which directly improved efficiency and productivity. Talend Data Integration has had a measurable impact on our organization. By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month. We also improved data accuracy. Error rates dropped by more than 70% because validation rules were built into the jobs. In addition, reporting teams now receive fresh data at least 50% faster, which means they can make decisions earlier and with more confidence. Overall, Talend Data Integration has increased both efficiency and reliability in our data workflows.

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

"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 tool was mainly used for ETL processes to apply governance rules on data."

"Talend Data integration has a wide library of connectors."

"Qlik Talend Cloud has had a positive impact on my organization by automating data integration processes, reducing manual errors, and ensuring reliable and up-to-date data for reports and business decisions."

"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."

"The solution is customizable."

"The solution is very user-friendly and easy to understand."

"It’s easy to monitor the processes. Every morning I’ll open the Talend Administration Center to check the status of the process. Within seconds I’m able to see which process ran successfully and which have failed and why they failed."

"Talend Data Integration has positively impacted my organization because it is used for master management data, which I think most other components lack, but Talend Data Integration has that capability for using master management data as standard data."

More Qlik Talend Cloud 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."

"Qlik Talend Cloud could be improved with more advanced monitoring and flexible alerts, as well as better job performance visibility."

"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."

"Due to using the open-source version of Talend Data Integration, which lacks a scheduler, our current approach involves developing jobs in Talend, exporting them as Java packages, and utilizing an external scheduler, such as Windows Scheduler, to manage the scheduling process."

"If we encounter issues, it’s most likely when using the Talend Open Studio. The studio can be slow, get stuck, or crash. But again, it can be caused by the resources of your machine or your connection with the repository. If we encounter issues with the Studio we restart the Studio. In emergencies, we create and use a new workspace."

"Once you get past the basic tools, it gets pretty complicated."

"Finding assistance with issues can be spotty. With Python, there are literally millions of open source answers which are recent and apply to the version that we are using."

"We'd like to see more connectors it the future."

"I've had some issues with bugs causing crashes, especially when making changes to the system or with the monthly upgrades to Studio they've introduced."

More Qlik Talend Cloud 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."

"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 price of the Talend Data Management Platform is reasonable. The other competing solutions are priced high. Gartner Magic Quadrant identified other solutions, such as Informatica, that are far more expensive."

"The licensing cost for the Talend MDM Platform is paid yearly, but I'm unable to give you the figure. I would rate its price as four out of five because it's on the cheaper side. I'm not aware of any extra costs in addition to the standard licensing fees for the Talend MDM Platform."

"The product pricing is considered very good, especially compared to other data integration tools in the market."

"The tool is cheap."

"The price is on a per-user basis. It's a little more expensive than other tools. There aren't any additional costs beyond the standard licensing fee."

"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."

"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."

More Qlik Talend Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

41%

Insurance Company

10%

Computer Software Company

Manufacturing Company

Financial Services Firm

12%

Computer Software Company

10%

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	11
Large Enterprise	20

Questions from the Community

Ask a question

Earn 20 points

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.

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What needs improvement with Talend Data Quality?

I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not ...

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What is your primary use case for Talend Data Quality?

It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...

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Compared 14% of the time

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Compared 7% of the time

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Compared 4% of the time

SSIS vs Qlik Talend Cloud

Compared 3% of the time

Collibra Platform vs Qlik Talend Cloud

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SAP Data Services vs Qlik Talend Cloud

Compared 2% of the time

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Product Reports

Buyer's Guide

Data Governance

January 2026

Download MANTA Flow product report

Buyer's Guide

Qlik Talend Cloud

January 2026

Download Qlik Talend Cloud product report

Also Known As

No data available

Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance

Overview

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

Qlik Talend Cloud provides robust data integration tools tailored for efficient management of large volumes, offering real-time data access, Java integration, and custom code capabilities for developers.

Qlik Talend Cloud is known for its extensive connectivity options, enabling seamless integration across different platforms, such as S3, Redshift, Oracle, and SQL Server. The central repository facilitates consistent metadata access throughout organizations, enhancing collaboration. Despite its strengths in advanced monitoring, automation, and user-friendly drag-and-drop interfaces, users face challenges with installation stability, technical support, documentation inconsistencies, and complexities in learning. Performance concerns also include multitasking limitations and excessive memory usage. The platform's licensing costs can be prohibitive for smaller companies, while demands for improved data governance and intuitive code management continue. Its applications in healthcare data parsing, ETL task automation, and diverse data platform integration demonstrate its utility, although there's a constant demand for better scalability and efficient transformations.

What are the key features?

Seamless Real-Time Data Access: Ensures that users can access the latest information across systems without delays for better decision-making.
Java Integration: Facilitates smooth incorporation of Java components into workflows, broadening development options.
Custom Code Development: Offers flexibility to develop tailored solutions to meet specific integration scenarios.
Vast Connectors: Enhances connectivity between multiple platforms, supporting comprehensive data integration strategies.
Central Repository: Allows for uniform metadata access across departments, promoting cohesive data management practices.
Automation and Monitoring: Streamlines workflows with advanced automation and monitoring, reducing manual intervention and errors.

What benefits and ROI should users evaluate?

Improved Data Quality: Tools for data matching and error handling ensure high-quality, reliable data for analytics and reporting.
Efficient Workflow Streamlining: Drag-and-drop interfaces and automation features simplify complex workflows, enhancing operational efficiency.
Enhanced Business Insights: By integrating diverse data sources, businesses can derive deeper insights and ensure compliance through better data management.
Cost Management: Although some users find licensing expensive, comprehensive feature sets aimed at improving data processes can justify costs.
Community Support: Users benefit from active community forums that provide assistance, although technical support also necessitates enhancements.

In specialized industries like healthcare, users leverage Qlik Talend Cloud for data integration and transformation, aiding in compliance and analytics. Compatibility with cloud and on-premises systems ensures adaptability to complex data tasks, facilitating business application development. Organizations focus on enhanced data ingestion and quality checks for comprehensive solutions.

Qlik

Sample Customers

Information Not Available

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Buyer's Guide

MANTA Flow vs. Qlik Talend Cloud

December 2025

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