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Magic xpi Integration Platform vs Qlik Talend Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 18, 2025

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

Magic xpi Integration Platform
Ranking in Integration Platform as a Service (iPaaS)
30th
Average Rating
3.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Qlik Talend Cloud
Ranking in Integration Platform as a Service (iPaaS)
9th
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
53
Ranking in other categories
Data Integration (9th), Data Quality (3rd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (7th), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (9th)
 

Mindshare comparison

As of January 2026, in the Integration Platform as a Service (iPaaS) category, the mindshare of Magic xpi Integration Platform is 1.1%, up from 0.4% compared to the previous year. The mindshare of Qlik Talend Cloud is 4.2%, up from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Integration Platform as a Service (iPaaS) Market Share Distribution
ProductMarket Share (%)
Qlik Talend Cloud4.2%
Magic xpi Integration Platform1.1%
Other94.7%
Integration Platform as a Service (iPaaS)
 

Featured Reviews

it_user977634 - PeerSpot reviewer
Enterprise IT Architect at a consumer goods company with 1,001-5,000 employees
A low-performing integration tool
We use it as an in-house back-type integration tool. It allows us to have different integrations between different systems It does not perform well. It needs more reusable components that are unlimited in time. Furthermore, it relies on the files systems and does not create components, so it is…
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 stability of the solution is OK."
"The solution is very user-friendly and easy to understand."
"tLogRows are also great for finding bad data."
"The solution can run on any machine and that is a big advantage."
"We have multiple use cases for this solution. We integrate with Salesforce, SAP and Oracle databases to build business logic and provide reporting."
"Overall, the management and running environment are very stable, and I would rate it an eight out of ten."
"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."
"The features that I like the most are the simplicity of the interface, and the ability to quickly develop with a predefined component."
"The solution is customizable."
 

Cons

"It is not performing well."
"The biggest challenge with Talend was its performance."
"The product must enhance the data quality."
"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."
"I wonder if, at the same price, the API component could be added, which would be beneficial."
"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."
"Qlik Talend Cloud could be improved with more advanced monitoring and flexible alerts, as well as better job performance visibility."
"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
"Once you get past the basic tools, it gets pretty complicated."
 

Pricing and Cost Advice

Information not available
"The licensing cost is about 40,000 Euros a year."
"It's a subscription-based platform, we renew it every year."
"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."
"I have been using the open-source version."
"The tool is cheap."
"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 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 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."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
13%
Computer Software Company
11%
Comms Service Provider
7%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise11
Large Enterprise19
 

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.
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...
 

Also Known As

Magic xpi Integration Platform, iBOLT
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

Godrej Properties
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Microsoft, Salesforce, Informatica and others in Integration Platform as a Service (iPaaS). Updated: December 2025.
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