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Azure AI Foundry 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:
 

ROI

Sentiment score
6.1
Azure AI Foundry streamlines implementation, boosts efficiency, and delivers ROI, though financial impacts vary, especially for non-profits.
Sentiment score
5.8
Qlik Talend Cloud enhances efficiency and cost savings, enabling rapid task completion and smooth transitions with reduced errors.
Each one we've carefully measured ROI and been able to demonstrate significant ROI with them.
AI Practice Director at a consultancy with 201-500 employees
The biggest return on investment for me when using Azure AI Foundry is the savings in cost for implementing our own observability, visibility, evaluation, and building our own infrastructure to do proof of concepts.
Assistant VP, Architecture (Engineering & Director at a financial services firm with 5,001-10,000 employees
The playground is where you can deploy the model and test, and guardrails serve as the protection mechanism.
Advisory Specialist Master at a tech vendor with 10,001+ employees
It has helped us save a lot of time by automating repetitive data processes and reducing manual interventions.
IT Consultant at a tech services company with 201-500 employees
We achieved around 20% to 30% time savings in the ETL process, reduced operational errors, and improved pipeline stability.
Data & Analytics Engineer at PicPay
We actually achieved the first 18 months worth of work in the first six months.
Enterprise Architect at Waikato Regional Council
 

Customer Service

Sentiment score
5.3
Azure AI Foundry support receives mixed reviews, citing both quick responses for some and delays and challenges for others.
Sentiment score
7.1
Qlik Talend Cloud's customer service is praised for responsiveness, efficiency, supportive interactions, knowledgeable support, and helpful resources.
I evaluate customer service and technical support positively because we have the enterprise license, which allows us to prioritize serious issues, ensuring that Microsoft support responds quickly.
Manager, Data Science at a outsourcing company with 10,001+ employees
On a scale from one to ten, I would rate customer service and technical support as a nine.
Senior VP, AI, Innovation & Architecture at a computer software company with 501-1,000 employees
I am receiving full support due to our partnership with Microsoft and because we are in the evaluation phase.
Sr Director at a tech vendor with 10,001+ employees
The support team is responsive when we raise issues, and they usually provide clear guidance or solutions.
IT Consultant at a tech services company with 201-500 employees
I would rate the technical support from Talend Data Quality as an 8 or 9.
Senior Consultant at a tech services company with 201-500 employees
The customer support for Talend Data Integration is very good; whenever I raise a ticket in the customer portal, I immediately receive an email, and follow-up communication is prompt.
Assistant Consultant at a tech vendor with 10,001+ employees
 

Scalability Issues

Sentiment score
5.5
Azure AI Foundry offers seamless scalability, though GPU availability and organizational readiness can affect expansion and deployment.
Sentiment score
7.0
Qlik Talend Cloud efficiently scales in cloud environments, with positive feedback on performance, parallelization, and dynamic scaling capabilities.
Azure AI Foundry scales with the growing needs of my organization very well.
Senior VP, AI, Innovation & Architecture at a computer software company with 501-1,000 employees
The platform expands to all of our needs without us really having to do anything, so scalability is definitely there.
Staff Software Developer at a tech vendor with 1,001-5,000 employees
I've had a couple of times where I've had to get to the VP level of Microsoft before I could get the capacity I needed for my customers.
AI Practice Director at a consultancy with 201-500 employees
By using features like job parallelization and modular design, we can expand our data flows without having to rebuild everything.
IT Consultant at a tech services company with 201-500 employees
Its scalability is good, as Qlik Talend Cloud can handle large amounts of data and grow as needed, especially in cloud environments.
Data & Analytics Engineer at PicPay
The scalability of Talend Data Integration is good; if it weren't scalable, it wouldn't be reliable.
Assistant Consultant at a tech vendor with 10,001+ employees
 

Stability Issues

Sentiment score
6.9
Azure AI Foundry is stable with high user satisfaction, despite occasional issues due to broader Azure service outages.
Sentiment score
7.1
Qlik Talend Cloud is generally stable, though users may encounter issues with large datasets, server reboots, and updates.
I have not experienced any downtime, crashes, or performance issues.
Directeur Des Ventes at Ited
Regarding stability and reliability, I've had zero downtime with Azure AI Foundry, and it helps fix itself.
IT Manager at a manufacturing company with 1,001-5,000 employees
I would assess the stability and reliability of Azure AI Foundry as very good.
Senior VP, AI, Innovation & Architecture at a computer software company with 501-1,000 employees
We have not encountered many issues with remote engines, and the interfaces are properly developed.
Consultant en intelligence décisionnelle at VO2 Group
Once the jobs are properly designed and deployed, they run reliably without major issues.
IT Consultant at a tech services company with 201-500 employees
It was not as stable when we were using TAC and on-premise systems, but currently, with Qlik Talend Cloud version 8.3 or 8.1, it is stable.
Data Engineer at HCLSoftware
 

Room For Improvement

Azure AI Foundry needs improved integration, usability, transparency, governance, and tool support to enhance user experience and adoption.
Qlik Talend Cloud faces crashes, multitasking issues, poor documentation, stability problems, and lacks tools, needing improvements in security and support.
Providing data on the internal workings of Azure AI Foundry would help customers like us feel more comfortable adopting it.
Assistant VP, Architecture (Engineering & Director at a financial services firm with 5,001-10,000 employees
What did not work well for us regarding Azure AI Foundry includes the security piece, being able to identify how to deploy to multiple regions, reducing latency, and managing tokens per minute.
Azure Cloud Architect at a manufacturing company with 10,001+ employees
With code, you know what the binary result is, but with prompting, it is a lot harder.
Senior Director, Data Orchestration Ai & Helix Practice Advisor at Connection
On the flip side, that is one of its amazing strengths, as you are not locked into a very rigid way of doing something.
Enterprise Architect at Waikato Regional Council
Better cost and resource visibility would help teams optimize their workloads.
Data & Analytics Engineer at PicPay
It would be great to have more ready-to-use connectors for modern cloud and SaaS platforms.
IT Consultant at a tech services company with 201-500 employees
 

Setup Cost

Azure AI Foundry pricing varies by user, with mixed views on cost justification and competitiveness, prompting some to seek alternatives.
Qlik Talend Cloud offers subscription-based pricing with varied costs, emphasizing package evaluation to manage expenses effectively.
Regarding the pricing, setup cost, and licensing of Azure AI Foundry, I would say it is fair, but I think it gets more expensive.
Assistant VP, Architecture (Engineering & Director at a financial services firm with 5,001-10,000 employees
the pricing, setup costs, and licensing for Azure AI Foundry are very expensive, but still cheaper than hiring an additional position
Manager, Data Science at a outsourcing company with 10,001+ employees
It was difficult to get an understanding of how we could model out our pricing and cost over time without talking to someone.
Senior VP, AI, Innovation & Architecture at a computer software company with 501-1,000 employees
My experience with Talend Data Integration's pricing, setup cost, and licensing is that it is a bit higher compared to other tools, making it not very affordable.
Assistant Consultant at a tech vendor with 10,001+ employees
The license cost has increased significantly, leading many companies to seek more profitable options in the market.
ETL developer at a tech vendor with 10,001+ employees
 

Valuable Features

Azure AI Foundry streamlines AI integration with quick testing, centralized hosting, enhanced security, and efficient deployment features.
Qlik Talend Cloud provides high-performance data integration with real-time access, extensive connectors, automation, and robust data quality tools.
Some examples of how its features have benefited my organization include ease of access, being able to see what's functioning, what's not functioning, why it's not functioning, and when it stopped functioning, and to maintain visibility on day-to-day operations.
IT Manager at a manufacturing company with 1,001-5,000 employees
The feature of being able to pick the right models has been the most beneficial for enhancing our customer service because some AI models are more expensive but slower, while others are faster and cheaper, allowing us to pick the right model for the right task that we are trying to solve.
Manager, Data Science at a outsourcing company with 10,001+ employees
The feature that has been the most beneficial for enhancing customer experience is the one that allows you to compare multiple models to one another and see how they perform against each other.
AI Practice Director at a consultancy with 201-500 employees
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.
IT Consultant at a tech services company with 201-500 employees
We perform profiling prior to data quality and post-data quality, and based on that, we determine how much it has improved to measure the efficiency of Talend Data Quality cleaning tools.
Senior Consultant at a tech services company with 201-500 employees
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.
Data & Analytics Engineer at PicPay
 

Categories and Ranking

Azure AI Foundry
Ranking in Integration Platform as a Service (iPaaS)
10th
Average Rating
8.0
Reviews Sentiment
5.7
Number of Reviews
16
Ranking in other categories
AI Development Platforms (7th), Low-Code Development Platforms (10th), AI-Agent Builders (3rd)
Qlik Talend Cloud
Ranking in Integration Platform as a Service (iPaaS)
9th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
54
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)
 

Featured Reviews

Sudhakar Pyndi - PeerSpot reviewer
Data, Analytics & Ai Senior Director, Enterprise Architecture at a comms service provider with 10,001+ employees
Document processing has accelerated contract reviews and enabled rapid development of AI-driven supply chain solutions
With regard to security, compliance, or governance features in Azure AI Foundry, this is something that we have started looking into, primarily using Microsoft Purview for our governance, data governance. There is this new module called DSPM for AI, and we are exploring it while trying to operationalize it with different policies and so forth, but we're still not where we want to be on the governance, AI governance side. It's a process and a path, and we are trying to work through that right now. Azure AI Foundry can be improved from the governance perspective, as a lot can be done. The promising part is the recent announcement on the Foundry control plane. A couple of days back, there was an announcement regarding it bringing in some of the gaps that were on the platform, so it's a really positive direction in terms of where it's going. More governance is what is lacking, but the control plane will really play a big role there.
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Manufacturing Company
15%
Outsourcing Company
13%
Retailer
12%
Financial Services Firm
12%
Computer Software Company
10%
Comms Service Provider
7%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise13
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise11
Large Enterprise20
 

Questions from the Community

What is your experience regarding pricing and costs for Azure AI Foundry?
I would need to ask my technical team about my experience with the pricing, setup costs, and licensing.
What needs improvement with Azure AI Foundry?
The platform's effect on my management of privacy, performance, and compliance across different regions is quite complex because Azure AI Foundry does not make it very clear how to deploy. We set u...
What is your primary use case for Azure AI Foundry?
My main use cases for Azure AI Foundry include deploying AI applications to perform document comparison, translation services, and a chat feature, helping the digital AI team at our company. Curren...
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

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

Information Not Available
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Azure AI Foundry vs. Qlik Talend Cloud and other solutions. Updated: January 2026.
881,082 professionals have used our research since 2012.