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Dagster Labs vs Qlik Talend Cloud comparison

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Comparison Buyer's Guide

Executive Summary

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

Dagster Labs
Ranking in Data Integration
37th
Average Rating
7.8
Reviews Sentiment
4.5
Number of Reviews
6
Ranking in other categories
No ranking in other categories
Qlik Talend Cloud
Ranking in Data Integration
8th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
Ranking in other categories
Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (2nd), Cloud Data Integration (7th), Data Governance (9th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (7th)
 

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of Dagster Labs is 0.1%. The mindshare of Qlik Talend Cloud is 2.5%, up from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud2.5%
Dagster Labs0.1%
Other97.4%
Data Integration
 

Featured Reviews

AS
IT Consultant at a outsourcing company with 10,001+ employees
Automation and lineage visibility have transformed how our teams schedule and monitor ETL workflows
There are multiple products from Dagster Labs: Dagster Cloud, Dagster Labs, and sometimes it is quite confusing to choose which one for what purposes. I know there are some licensing buckets for small organizations, medium organizations, and bigger organizations, so the modeling and the cost estimation part could be more intuitive, making it easier for beginners to understand how much time and money they would save by onboarding Dagster Labs in their project. I deducted two points because I faced some challenges working with the Git repository integration with Dagster Labs due to some security keys or some weird issue. I had to get in a call with Dagster Labs subject matter expert, and we really struggled for two to three weeks because we could not establish the secure connection through that.
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

"Dagster Labs has positively impacted our organization by making it much easier to create data pipelines, helping us create new use cases, and allowing us to transform all of the data we have into features, which Dagster Labs has greatly assisted with."
"Dagster Labs has impacted my organization positively by enabling faster project delivery since it has reduced a lot of manual efforts, especially the manual scheduling part."
"As a product, it is one of the best I have had the pleasure to work with."
"Dagster Labs has provided a good sense of the data pipeline I have been using, and I have started to trust it even more because I have full confidence in whether it has been updated correctly and if it has failed."
"Since automating with Dagster Labs, I save around 90% of manual effort."
"Dagster Labs has positively impacted my organization because whenever there is a change in the data, it becomes easy for me to schedule the job, run the changes, and make changes to be imported to the slowly changing dimension tables."
"Coming into the department with no knowledge of Talend, the interface has been user-friendly enough to allow me to come up to speed in four to five months on almost all its functions and use it like a pro."
"I really like the fact that there are no out-of-the-box solutions regarding the development of jobs. Other vendors may have modules which cleanse your addresses. In Talend, you have the freedom to completely develop the process yourself. This can be tricky, but it also makes it fun."
"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."
"The solution is very user-friendly and easy to understand."
"If your use case depends on heterogeneous sources like Salesforce, SAP, and some other product information systems, I would recommend Talend."
"With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects."
"You move data from one source to another without problem and apply some business rules in data."
"The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work."
 

Cons

"I deducted two points because I faced some challenges working with the Git repository integration with Dagster Labs due to some security keys or some weird issue."
"There are many ways Dagster Labs can be improved. I believe the UI is very slow and it prevents loading state."
"Dagster Labs is currently providing a Dagster University course, but those offerings are somewhat high-level."
"One major issue I see with Dagster Labs is with retrying the pipeline; of course, there is a retry of the pipeline available in case it fails, but it starts from the beginning at the first step."
"Additionally, the billing for Dagster Labs Cloud Plus is somewhat restrictive regarding the number of seats, which often pushes users towards the enterprise plan."
"I'd be interested in seeing the running of Python programs and transformations from within the studio itself."
"Sometimes there are bugs which are unidentified and we have to follow-up with the Talend team to resolve them. In a critical situation, it takes time for them to update patches."
"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling."
"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."
"As it is a open source tool, some minor bugs are there."
"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
"The documentation from version to version could be more accurate. I have found information that is inaccurate or doesn't apply to the version I am trying to install or work in."
"The solution's memory sometimes bottlenecks and that can be challenging."
 

Pricing and Cost Advice

Information not available
"The product pricing is considered very good, especially compared to other data integration tools in the market."
"License renewal is on a yearly basis."
"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 solution's pricing is very reasonable and half the cost of Informatica."
"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 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
Construction Company
25%
Outsourcing Company
11%
Comms Service Provider
10%
Financial Services Firm
7%
Financial Services Firm
14%
Outsourcing Company
12%
Comms Service Provider
10%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise1
Large Enterprise5
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
Large Enterprise20
 

Questions from the Community

What needs improvement with Dagster Labs?
Dagster Labs is currently providing a Dagster University course, but those offerings are somewhat high-level. When a user comes in and tries to learn Dagster Labs, there need to be different kinds ...
What is your primary use case for Dagster Labs?
The main use case for using Dagster Labs is to utilize ETL processes such as extract, transform, and load because we already have raw data, and we perform all the necessary transformations, includi...
What advice do you have for others considering Dagster Labs?
I would advise others looking into using Dagster Labs to utilize all of the features provided by Dagster Labs, as it has many great offerings. I would rate this product a seven out of ten.
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

Information Not Available
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Dagster Labs vs. Qlik Talend Cloud and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.