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Enterworks Enable 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

Enterworks Enable
Ranking in Master Data Management (MDM) Software
14th
Average Rating
5.6
Reviews Sentiment
5.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Qlik Talend Cloud
Ranking in Master Data Management (MDM) Software
4th
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), Cloud Data Integration (6th), Data Governance (8th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (11th), Integration Platform as a Service (iPaaS) (6th)
 

Mindshare comparison

As of November 2026, in the Master Data Management (MDM) Software category, the mindshare of Enterworks Enable is 2.8%, up from 1.5% compared to the previous year. The mindshare of Qlik Talend Cloud is 7.9%, up from 6.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Master Data Management (MDM) Software Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud7.9%
Enterworks Enable2.8%
Other89.3%
Master Data Management (MDM) Software
 

Featured Reviews

Chandrakant Bharadwaj - PeerSpot reviewer
Head of Data Management at Zeno Health
Efficient management of multi-domain masters but API integrations could be improved
As for improvement, the con is basically API integrations. I would like to have some improved API integrations in the future release. Moreover, there is room for improvement in the setup process. The company should move the deployment to the cloud and make it a ready setup. In the market, many of the players, like Trento, Semarchy, and MDM software which are on the cloud, are ready to use. All the installation is pre-defined so that the installation cost is not to be added by the client every time. So, deployment and installation are specific to the service partner only. A client cannot do it by themselves.
Henrique Fsantos - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"The feature that was most valuable to me was the ability to export files into .CSV format."
"Efficient management of multi-domain masters, product suppliers, and locations."
"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."
"The solution is connected to various phones. It retrieves the configuration from the system."
"The Talend software is very simple to install."
"The best feature of Talend Data Integration is its multiple data DB components; we have almost all the components and also cloud versions, with TMC allowing us to perform data preparation and data stewardship."
"The product's integration with PostgreSQL and Jira has been helpful for us. Its performance is good. However, we do not use it for large data sets."
"The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work."
"Maybe the best thing is the product's easy start-up level when you are familiar with Java."
"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."
 

Cons

"If a large file was imported/exported, or a lot of people were logged into the system, it would slow down and crash."
"As for improvement, the con is basically API integrations."
"There are more functions in a non-streamlined manner, which could be refined to arrive at a better off-the-shelf functions."
"The stability is good, but the performance is slower when I work on a huge amount of data."
"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."
"The documentation from version to version could be more accurate."
"The solution's memory sometimes bottlenecks and that can be challenging."
"If I am designing something in Talend Data Integration, I cannot backtrack in the flow. For example, if I read data from a source and transform it before applying complex aggregation in the third step, I cannot join this data with the second step."
"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
"I think the memory issues we faced when using the 3GB RAM compared to the 4GB RAM computers caused lot of issues."
 

Pricing and Cost Advice

"The pricing of the solution is cost-effective."
"The licensing cost is about 40,000 Euros a year."
"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."
"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 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."
"It's a subscription-based platform, we renew it every year."
"The tool is cheap."
"The solution's pricing is very reasonable and half the cost of Informatica."
"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."
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Top Industries

By visitors reading reviews
No data available
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

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

 

Sample Customers

Ariens, Big Rock Sports, CPO Commerce, Creative Converting, Fender Musical Instruments, Guthy-Renker, Hearth & Home Technologies, HON Furniture, Interline Brands, Johnstone Supply, MARS/Heat Controller, Mary Kay, Mercer, Orgill, Owens & Minor, Publishers Clearing House, Safety Marketing Services, Synthes, Essendant, US Foods, W.B.Mason
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Enterworks Enable vs. Qlik Talend Cloud and other solutions. Updated: September 2026.
920,769 professionals have used our research since 2012.