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OpenText Trading Grid vs Qlik Talend Cloud comparison

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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

OpenText Trading Grid
Ranking in Cloud Data Integration
39th
Ranking in Integration Platform as a Service (iPaaS)
25th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
1
Ranking in other categories
Business-to-Business Middleware (12th)
Qlik Talend Cloud
Ranking in Cloud Data Integration
6th
Ranking in Integration Platform as a Service (iPaaS)
6th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
Ranking in other categories
Data Integration (7th), Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Data Governance (9th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (6th)
 

Mindshare comparison

As of September 2026, in the Cloud Data Integration category, the mindshare of OpenText Trading Grid is 0.9%, up from 0.5% compared to the previous year. The mindshare of Qlik Talend Cloud is 4.8%, up from 3.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud4.8%
OpenText Trading Grid0.9%
Other94.3%
Cloud Data Integration
 

Featured Reviews

VARUNKUMAR - PeerSpot reviewer
Mgr Value Chain Integration/EDI at a non-tech company with 10,001+ employees
Industry-leading, easy to implement, and has good mapping specification guidelines
The good thing about OpenText is that we have the mapping specification guideline available, which is not there in a solution like SEEBURGER. Whenever you want to take a decision to move away from OpenText, you have already documented your mapping and what your mapping looks like. So you go to the next provider, provide them with that mapping specification, and it'll be very easy for them to develop a new map instead of just taking the data - input data, output data - and then looking for how the data is getting transformed. So you have the mapping spec level which is a very good feature of OpenText, which we do not have in SEEBURGER. It's very hard to move from SEEBURGER. The solution is easy to implement. It's stable and reliable. They are the industry leaders in the integration space.
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.

Quotes from Members

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

Pros

"The good thing about OpenText is that we have the mapping specification guideline available, which is not there in a solution like SEEBURGER."
"The solution is easy to implement."
"The wide range of components which suits a variety of purposes and provides a flexible development environment to the coder."
"We can develop our own code if we do not see the functionality we need."
"The features that I like the most are the simplicity of the interface, and the ability to quickly develop with a predefined component."
"I like idea of storing the results of Data Quality jobs in a DB and having the ability to run reports in the DB to show a dashboard of quality metrics."
"What I like about the Talend MDM Platform is that it's a good vendor diagnostic tool."
"Before, when we wanted solutions and REST APIs, we handed it over to an external company, so it took time, back and forth and all that, but now, with Qlik Talend Cloud, when we want a service, we create it, and in at most one or two days the service is in production and usable, so we save a lot of time."
"We’re also able to respond much more quickly to changes and demands from the business, as we can create and change jobs quickly and provide new data for reports within hours."
"We are still in the process of evaluating them, but I love the way things look in Talend, and I'm all for Talend."
 

Cons

"Technical support isn't the greatest. The transparency is less than you sometimes need."
"Technical support needs to be better."
"In the Philippines, there's only a handful of Talend support. The support is very helpful, but it's very limited."
"Qlik Talend Cloud is doing well, but one improvement could be the integration of development functionalities we use in Talend Studio directly onto the Talend browser."
"Account for Java developers/custom development efforts apart from DQ functional/technical expertise, to use Talend DQ product to the fullest."
"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling."
"Once you get past the basic tools, it gets pretty complicated."
"The stability for Talend Data Quality can be rated around an 8; it is quite stable."
"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."
"For us in New Zealand, it is quite expensive."
 

Pricing and Cost Advice

Information not available
"The licensing cost is about 40,000 Euros a year."
"License renewal is on a yearly basis."
"It's a subscription-based platform, we renew it every year."
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"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."
"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."
"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 pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
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Top Industries

By visitors reading reviews
Manufacturing Company
12%
Outsourcing Company
12%
Construction Company
11%
Comms Service Provider
9%
Financial Services Firm
14%
Outsourcing Company
12%
Comms Service Provider
11%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
Large Enterprise20
 

Questions from the Community

Ask a question
Earn 20 points
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...
 

Also Known As

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

Overview

 

Sample Customers

Autoliv, Hella, Hutchinson, Michelin
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Palantir and others in Cloud Data Integration. Updated: September 2026.
914,262 professionals have used our research since 2012.