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Qlik Talend Cloud vs SAP Information Steward comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 22, 2026

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
55
Ranking in other categories
Data Integration (5th), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (6th), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (8th), Integration Platform as a Service (iPaaS) (6th)
SAP Information Steward
Ranking in Data Quality
17th
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Metadata Management (10th)
 

Mindshare comparison

As of May 2026, in the Data Quality category, the mindshare of Qlik Talend Cloud is 6.9%, down from 9.9% compared to the previous year. The mindshare of SAP Information Steward is 3.0%, down from 3.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud6.9%
SAP Information Steward3.0%
Other90.1%
Data Quality
 

Featured Reviews

HJ
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.
FranciscoSantos - PeerSpot reviewer
Director at Pixel Studio PTY
Provides accurate data that is validated against a personalized reference tool
For most SAP customers, Information Steward is enough because it is able to build quality data rules to detect issues in the source systems like SAP HANA, Business Warehouse, or other systems. A business user can first organize their data into several data domains. For example, procurement, human resources, and logistics setup. The domains can build data quality dimensions where you can describe the kind of rule that you are going to use. The user then can immediately see if something is wrong with their data using traffic lights. Another great feature of SAP Information Steward is the accuracy that the content is followed by validating against the reference tool. With the solution, you are creating data quality dimensions. Within these dimensions, you are creating business data quality rules that are looking for specific fields. From these rules, you can create a scorecard. The scorecard will highlight the percentage of good data and ensure the user can feel confident that the data is accurate within predetermined limits. SAP tables have field names that are very cryptic, making them hard to understand the meaning of the fields. Metapedia helps describe these fields in business terms.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The scheduling part of the solution is very good."
"I like everything about this product, but the biggest thing is the ease of use."
"Talend has allowed us to systematically organise/structure and deploy our staged ETL transformation processes from Development into production, we have tracked our data quality efforts during our runs and supplied comprehensive feedback during our development."
"We have used value frequency and patterns. We have been it impressed with these functions as they have helped us in making decisions in transformation work."
"Coming into the department with no knowledge of Talend, the interface has been user-friendly enough to allow me to come up to speed in four to five months on almost all its functions and use it like a pro."
"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."
"The most valuable feature is integration."
"The features that I like the most are the simplicity of the interface, and the ability to quickly develop with a predefined component."
"Data integration is much easier with Information Steward - irrespective of the data sources, integration is very smooth and easy."
"I am very happy with the product."
"The Data Cleansing and the scorecard dashboard are very valuable. Additionally, the financial aspect of SAP Information Steward is very good. When a rule is incorrect then it will show how much is it costing the business. These features are very valuable."
"Setup is straightforward."
"The solution is very fast, very stable, and very easy to use and straightforward."
"The most valuable features are data quality insight, metadata management, and metadata dictionary."
"The product has improved company efficiency because we're able to categorize the need for user access at the folder level across storage enterprise wide."
"The solution is very fast."
 

Cons

"We'd like to see more connectors it the future."
"When we upgraded to Version 6.4.1, we tried using a GIT repository instead of a SVN repository. After a few incidents where things disappeared and changes were not saved, we decided to go back to a SVN repository."
"Including either XML or JSON in the next release would definitely be a good transformation. I'm not sure if Talend has that feature, but it's one of those requirements that we are working around and have to do some parsing of XML so this could make it easier."
"I'd be interested in seeing the running of Python programs and transformations from within the studio itself."
"Once you get past the basic tools, it gets pretty complicated."
"I wonder if, at the same price, the API component could be added, which would be beneficial."
"NullPointerExceptions are going to be the death of me and are a big reason for our transition away from Talend."
"The product must enhance the data quality."
"Performance could be improved."
"SAP Information Steward could be improved by offering a cloud version of the product."
"A problem with the solution is that it does not allow us to review the results of Information Stewards for other analogies."
"SAP Information Steward is an expensive solution compared to others."
"Needs to be more powerful on rules."
"A problem with the solution is that it does not allow us to review the results of Information Stewards for other analogies."
"Granularity could be reduced from an application level to the object level."
"In some cases they have given extraneous or erroneous information, which is completely useless."
 

Pricing and Cost Advice

"The solution's pricing is very reasonable and half the cost of Informatica."
"The tool is cheap."
"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."
"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 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."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
"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."
"Smaller-sized organizations may not be able to invest in SAP Information Steward because of the cost."
"I do not know if there were additional costs beyond the standard licensing fees."
"A bit pricey, and better tools are available for a lower price."
"SAP Information Steward is an expensive solution compared to others."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Comms Service Provider
8%
Computer Software Company
8%
Government
5%
Manufacturing Company
18%
Government
15%
Comms Service Provider
6%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise11
Large Enterprise20
By reviewers
Company SizeCount
Small Business1
Large Enterprise7
 

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 ...
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...
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...
Ask a question
Earn 20 points
 

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
Information Steward, SAP Data Insight
 

Overview

 

Sample Customers

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
American Water, Graphic Packaging International, OSRAM Licht AG, Maxim Integrated
Find out what your peers are saying about Qlik Talend Cloud vs. SAP Information Steward and other solutions. Updated: April 2026.
893,438 professionals have used our research since 2012.