Qlik Talend Cloud vs SAP Data Quality Management comparison

Why PeerSpot?

Qlik and SAP are both solutions in the Data Quality category. Qlik is ranked #2 with an average rating of 7.8, while SAP is ranked #10 with an average rating of 7.0. Qlik holds a 6.8% mindshare in DQ, compared to SAP’s 3.5% mindshare. Additionally, 89% of Qlik users are willing to recommend the solution, compared to 100% of SAP users who would recommend it.

Qlik Talend Cloud

Read 56 Qlik Talend Cloud reviews

19,499 Views
3,705 Comparison Views

89% willing to recommend

SAP Data Quality Management

Read 3 SAP Data Quality Management reviews

1,685 Views
1,651 Comparison Views

100% willing to recommend

Qlik Talend Cloud

SAP Data Quality Management

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 22, 2026

Qlik Talend Cloud and SAP Data Quality Management are competitive software solutions in data integration and quality management. Qlik Talend Cloud holds an advantage in pricing and support, while SAP Data Quality Management offers superior features and higher perceived value.

Features: Qlik Talend Cloud focuses on real-time data integration, scalable cloud solutions, and adaptability for various industries. SAP Data Quality Management prioritizes robust data cleansing, advanced data governance tools, and a comprehensive suite of capabilities essential for data quality.

Ease of Deployment and Customer Service: Qlik Talend Cloud offers a straightforward cloud-based deployment with proactive customer support and engagement. SAP Data Quality Management involves a more complex installation process but provides extensive documentation and dedicated service channels.

Pricing and ROI: Qlik Talend Cloud is more cost-effective initially, promising faster ROI due to its flexible pricing model. SAP Data Quality Management requires a higher initial investment, delivering significant long-term ROI through its extensive toolset and functionality.

To learn more, read our detailed Qlik Talend Cloud vs. SAP Data Quality Management Report (Updated: September 2026).

Buyer's Guide

Qlik Talend Cloud vs. SAP Data Quality 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

Qlik Talend Cloud

Ranking in Data Quality

2nd

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (8th), Data Scrubbing Software (1st), Master Data Management (MDM) Software (2nd), Cloud Data Integration (7th), Data Governance (9th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (7th)

SAP Data Quality Management

Ranking in Data Quality

10th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2026, in the Data Quality category, the mindshare of Qlik Talend Cloud is 6.8%, down from 7.0% compared to the previous year. The mindshare of SAP Data Quality Management is 3.5%, up from 2.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Mindshare Distribution
Product	Mindshare (%)
Qlik Talend Cloud	6.8%
SAP Data Quality Management	3.5%
Other	89.7%

Data Quality

Featured Reviews

Henrique Fsantos

Data & Analytics Engineer at PicPay

Automated data pipelines have improved analytics workflows and provide trusted reporting data

The best features of Qlik Talend Cloud are its connectors to many systems, databases, APIs, and files, including both SQL and NoSQL databases. The scheduling feature allows me to run jobs automatically in the cloud, and the built-in data quality tools help clean and check data. The reusable components enable me to reuse jobs and parts, which saves time, making it easy to build good data pipelines. The feature that has made the biggest difference for me in Qlik Talend Cloud is the scheduling and automation, which helps me run ETL jobs automatically without manual work. This saves time, reduces errors, and makes the pipelines more stable. In my daily work, I can trust that the data is updated on time and ready for reports and analytics. 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. This has improved operational stability, productivity, and trust in the data. Since using Qlik Talend Cloud, we have reduced manual work, resulting in approximately 20% to 30% time savings in data load processes. We have also seen a reduction in operational errors, mainly due to automation and the data quality checks, and a clear improvement in data reliability since the pipelines became more standardized and monitored.

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VenkatB

Director at Norderia

Embrace efficient data management with integrated features but anticipate some enhancement needs

This tool itself is new. SAP Data Quality Management was brought in by SAP recently, maybe a year or two years back. We just started implementing and we still have not heard exact feedback from the client. It would not be correct if I give feedback now because I don't have accurate feedback from client usage. I feel it is a good tool with some limitations. We compared it with Celonis, which is also one of the other tools in the market. I am more into SAP and S4 HANA, so I am not familiar with all the best tools available in Data Quality Management which can be compatible with SAP. We know there are issues with SAP Data Quality Management. The advantage of this tool that SAP brought is that it is already in-built. You don't need to build another application layer on top of the existing one. The compatibility and response time for these applications within the same database is faster.

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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

"tLogRows are also great for finding bad data."

"The basic tools are easy to pick up and understand."

"Better control and flexibility to add/custom define features, to tailor to your needs by modifying its Java generated code."

"Flexibility is a key feature I appreciate about Talend Data Integration, especially the integration of Java within it and the ease of integrating with multiple source repositories such as GitHub and Bitbucket."

"The wide range of components which suits a variety of purposes and provides a flexible development environment to the coder."

"The file fetch process is impeccable."

"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 is user-friendly and has many components and connectors, which makes it a great choice."

More Qlik Talend Cloud pros

"The scalability within the SAP function is good."

"Scalability is good."

"Our primary use case is for us to inspect the results from the product and material, and for releasing or leaving the status of the product."

"We work with API standards or norms for internal applications, so it's essential for SSE to have tests and pass those tests according to the criteria, which makes SAP Data Quality Management very important for our products."

Cons

"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."

"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."

"Sometimes there are bugs which are unidentified and we have to follow-up with the Talend team to resolve them. In a critical situation, it takes time for them to update patches."

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

"What's missing in the Talend MDM Platform is that it's not maintaining technology references. For example, my company needs a reference case if the platform has been implemented for a configuration that's similar to the client's required configuration. Currently, the client is still reluctant to roll out the Talend MDM Platform at a wider level because there's still no reference received from the Talend team."

"I wonder if, at the same price, the API component could be added, which would be beneficial."

"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling. With Talend DQ, I cannot generate any reports today, so I need an ETL tool. It provides general Excel files, or I have to create some views. If instead of buying a new tool, Talend provides a reporting capability or solution, it would be great. It will reduce the development effort for creating these kinds of reports. We also manage the infrastructure for Talend. From the licensing perspective, for cloud, they only have seat licenses where one person is tied to one license, but for on-premise, they have concurrent licenses. It would be really awesome if they can provide concurrent licenses for the cloud so that if one person is not there, somebody else can use that license. Currently, it is not possible unless a person deactivates his or her license and moves the same seat license to someone else. We are one of the biggest customers in the central zone of the US for Talend, and this is the feedback that we have provided them again and again, but they come back and say that they aren't able to provide concurrent licenses on the cloud. In version 7.3, there is a feature for tokenization and de-tokenization of data. This is the feature that we are looking for. It is useful if somebody wants to see what we have masked and how do we demask it. This feature is not there in version 7.1. There are also a few other capabilities on the cloud, but we don't yet have a big footprint in the cloud."

More Qlik Talend Cloud cons

"There are some limitations. They are not covering complete scenarios for all the modules."

"SAP Data Quality Management would be better if it directly integrates with the ME system. Right now, the company has a lot of machines on the shop floor working as a standalone, so you have to use all methods to ensure that the data interface appears on the ME system and that SAP Data Quality Management records the QM results. It would be much easier if the ME system could be integrated directly with SAP Data Quality Management."

"I would like for them to develop a feature to be able to record all of our inspections so all the data can go through SAP; it's not user-friendly or easy to get further analysis, so we mostly skip this step."

Pricing and Cost Advice

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

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

"The tool is cheap."

"I have been using the open-source version."

"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."

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

"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 is about 40,000 Euros a year."

More Qlik Talend Cloud pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Outsourcing Company

12%

Comms Service Provider

11%

Construction Company

Healthcare Company

10%

Manufacturing Company

Comms Service Provider

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	21
Midsize Enterprise	12
Large Enterprise	20

No data available

Questions from the Community

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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What advice do you have for others considering Talend Data Quality?

Currently, I'm working with batch jobs and don't perform real-time data quality monitoring because of the large data volume. For real-time, we use a different product. I cannot provide details abou...

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What needs improvement with SAP Data Quality Management?

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What is your primary use case for SAP Data Quality Management?

Currently, one of our clients is seeking SAP Data Quality Management solutions, so we are exploring options in that area. The product is not mature yet, so they need to work to improve it. We are a...

See all answers

What advice do you have for others considering SAP Data Quality Management?

For smaller organizations, I don't think this much is required. If it is a bigger size client from a business point of view, I definitely recommend this tool. They can use it if they are already us...

See all answers

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Product Reports

Buyer's Guide

Qlik Talend Cloud

October 2026

Download Qlik Talend Cloud product report

Buyer's Guide

Data Quality

September 2026

Download SAP Data Quality Management product report

Also Known As

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

SAP BusinessObjects Data Quality Management, BusinessObjects Data Quality Management

Overview

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

SAP Data Quality Management ensures accurate and consistent data across business processes, enhancing data accuracy and supporting informed decision-making. This solution helps maintain appropriate data standards and compliance, driving operational efficiency and reducing risks.

SAP Data Quality Management integrates seamlessly into existing enterprise systems, providing tools for data cleansing, data validation, and ongoing quality monitoring. Designed for complex environments, it supports real-time data validation and correction, which is essential for maintaining reliable and actionable data. This allows businesses to leverage clean and consistent data, enabling strategic insights and optimizing process efficiency.

What are the valuable features of SAP Data Quality Management?

Real-time Data Validation: Ensures immediate checks for data accuracy as it enters the system.
Data Cleansing: Automates identification and correction of errors and inconsistencies.
Address Standardization: Corrects and formats addresses according to local postal standards.
Geocoding: Converts addresses into accurate geographical coordinates for better location-based decision-making.

What benefits or ROI should users look for in reviews?

Enhanced Decision-Making: Improved data accuracy contributes to informed business decisions.
Reduced Operational Costs: Minimizes manual corrections and data rework, saving time and resources.
Regulatory Compliance: Helps meet industry standards and regulations by maintaining high data quality.
Increased Customer Satisfaction: Accurate order processing and delivery improve customer experience.

SAP Data Quality Management's flexible deployment options suit industries like retail, healthcare, and logistics. Each sector benefits from tailored implementations; retailers gain from improved customer data accuracy, logistics companies optimize routes with better geocoding data, and healthcare providers ensure compliance with stringent data standards.

SAP

Sample Customers

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

AOK Bundesverband, Surgutneftegas Open Joint Stock Company, Molson Coors Brewing Company, City of Buenos Aires, ASR Group, Citrix, EarlySense, Usha International Limited, Automotive Resources International, Wªrth Group, Takisada-Osaka Co. Ltd., Coelba, R

Buyer's Guide

Qlik Talend Cloud vs. SAP Data Quality Management

September 2026

Free Report: Qlik Talend Cloud vs. SAP Data Quality Management

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