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Qlik Talend Cloud vs Tray.io 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 Cloud Data Integration
7th
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 (6th), Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Data Governance (9th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (6th)
Tray.io
Ranking in Cloud Data Integration
21st
Ranking in Integration Platform as a Service (iPaaS)
16th
Average Rating
7.6
Reviews Sentiment
5.8
Number of Reviews
5
Ranking in other categories
Process Automation (26th), Low-Code Development Platforms (27th)
 

Mindshare comparison

As of June 2026, in the Integration Platform as a Service (iPaaS) category, the mindshare of Qlik Talend Cloud is 4.7%, up from 3.4% compared to the previous year. The mindshare of Tray.io is 1.9%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Integration Platform as a Service (iPaaS) Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud4.7%
Tray.io1.9%
Other93.4%
Integration Platform as a Service (iPaaS)
 

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.
Amrit Dash - PeerSpot reviewer
Automation Engineer at a educational organization with 11-50 employees
Automated student enrollments have reduced manual work and now free our team for higher-value support
Tray.io is definitely a highly powerful tool, but there are three main areas that I feel could be improved. There is a steep learning curve in user accessibility; the builder is highly developer-centric, making it difficult for a non-technical team member to modify or troubleshoot workflows. Introducing a more intuitive visual interface similar to what we have in make.com right now would make the platform much more collaborative and easier to work with for any non-technical folks or newly onboarded engineers, allowing them to be briefed faster. Visual debugging is another area where troubleshooting complex nested loops can feel very abstract. Having clearer, more visual step-by-step data tracking during test runs would speed up the development and testing process. The pricing model is geared heavily towards enterprise budgets; offering more flexible mid-market pricing tiers would make it more accessible for a growing organization that wants a small start and scale up gradually. The core platform security is highly robust and easily meets our requirements for SOC 2 and GDPR compliance. However, when utilizing their AI features such as Merlin AI with sensitive student data, we maintain a very cautious approach. While Tray.io provides enterprise-grade governance guardrails and data masking capabilities, our internal compliance policies prevent us from passing any personally identifiable student information directly through AI-driven processors. We trust Tray.io's underlying infrastructure security, but we believe organizations must still enforce strict data filtering protocols on their end to ensure student privacy is maintained. During our evaluation, we tested the AI capabilities in a sandbox environment, primarily using it to generate workflow drafts and natural language prompts from web data schemas. Strength-wise, it is highly capable when it comes to translating simple text descriptions into functional workflow templates. It serves as a great accelerator, helping to map standard files quickly and reducing the initial setup time for basic integrations. For issues, in the case of highly custom APIs or deeply nested data structures, accuracy declines. We noticed occasional misinterpretation of complex schemas, meaning our developers still had to manually review and correct the outputs. It is a highly helpful productivity booster but still requires human oversight for enterprise-grade reliability.

Quotes from Members

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

Pros

"Overall, from 2017 to 2020, we have almost saved around 140,000 to 160,000 hours, which is only with respect to the data."
"We can develop our own code if we do not see the functionality we need."
"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."
"The solution enables robust data matching, merging, survivorship, and Data Stewardship that can be a part of data quality workflows or true master data management."
"Talend Data Integration has positively impacted my organization because it is used for master management data, which I think most other components lack, but Talend Data Integration has that capability for using master management data as standard data."
"I like the way that you can use the context variables, and how you can work those context variables to give you values and settings for every development environment, such as PROD, TEST, and DEV."
"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."
"The most valuable feature is the data loading and scripting language"
"Tray.io has positively impacted my organization as it provides a trusted way to organize data results and share them throughout the company at once."
"During our three to six-month evaluation pilot, automating our student enrollment sync with Tray.io delivered proper operational improvements."
"Tray.io has positively impacted my organization by helping to manage webhooks easily and workflows easily, and it has improved collaboration so that other clients can use webhooks."
"Tray.io has positively impacted my organization by reducing the amount of redundant tasks that our team performs by approximately 80%, and the numbers are quite significant with the workflows alone, as we are working towards creating and utilizing AI within these workflows as well."
"Tray.io has positively impacted my organization by helping us keep our internal database and this third-party service in sync, and it has really helped us automate a lot of that work because it is fairly straightforward to maintain and develop."
 

Cons

"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."
"I would like to sync a project and do an upload from that current version, and then from GitLab, be able to download the latest one."
"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components. This would make things even easier."
"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."
"I would say that some of the support elements need improvement."
"The stability for Talend Data Quality can be rated around an 8; it is quite stable."
"Account for Java developers/custom development efforts apart from DQ functional/technical expertise, to use Talend DQ product to the fullest."
"Once you get past the basic tools, it gets pretty complicated."
"One way Tray.io could be improved, especially for people coming in with no real coding experience, is with more comprehensive error messages."
"As our product got more complex, we needed to add more and more complexity to Tray.io in terms of our setup, and that is when the benefits of it being no-code or low-code started to pale in comparison to the cost of making everything slightly more complicated."
"There is not much that can be improved in Tray.io. It is a good tool, but debug can be improved further and the solutions can be improved further."
"Tray.io is definitely a highly powerful tool, but there are three main areas that I feel could be improved."
"I have found that the error management in my main use case with Tray.io is not as effective as we would prefer."
 

Pricing and Cost Advice

"I have been using the open-source version."
"The solution's pricing is very reasonable and half the cost of Informatica."
"It's a subscription-based platform, we renew it every year."
"The tool is cheap."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
"License renewal is on a yearly basis."
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Comms Service Provider
9%
Computer Software Company
7%
Construction Company
7%
Construction Company
15%
Comms Service Provider
14%
Outsourcing Company
9%
Computer Software Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
Large Enterprise20
By reviewers
Company SizeCount
Small Business4
Large Enterprise3
 

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...
What needs improvement with Tray.io?
I believe Tray.io can be improved by offering integration with Tableau, which is still not available. I rated it an eight because there are still some things that can be improved, as I mentioned be...
What is your primary use case for Tray.io?
My main use case for Tray.io is to conduct A/B testing for marketing initiatives that the company has undertaken. We test the deployment of different campaigns across similar cohorts and evaluate w...
What advice do you have for others considering Tray.io?
My advice to others considering Tray.io is to trust the process because once the installation is complete, it is extremely easy to deploy and set up. I have rated this product an eight out of ten.
 

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
No data available
 

Overview

 

Sample Customers

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Copper, DigitalOcean, Udemy, AdRoll, FICO, Outreach
Find out what your peers are saying about Qlik Talend Cloud vs. Tray.io and other solutions. Updated: May 2026.
899,283 professionals have used our research since 2012.