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Qlik Talend Cloud vs Redpanda 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 Streaming Analytics
8th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
55
Ranking in other categories
Data Integration (5th), Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (6th), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Integration Platform as a Service (iPaaS) (6th)
Redpanda
Ranking in Streaming Analytics
14th
Average Rating
9.4
Reviews Sentiment
7.0
Number of Reviews
6
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2026, in the Streaming Analytics category, the mindshare of Qlik Talend Cloud is 3.0%, up from 1.0% compared to the previous year. The mindshare of Redpanda is 1.9%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud3.0%
Redpanda1.9%
Other95.1%
Streaming Analytics
 

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.
ArpitShah - PeerSpot reviewer
Software Analyst at CLSA
Event streaming has simplified video data cleanup and now powers real-time analytics
One area for improvement is providing more examples. For instance, Redpanda could be more useful as a sink where you get the data and can directly push to S3. While this is possible through the API, there are better and faster ways to do it. You can make a million API calls and accomplish the task in one and a half hours, but the same thing can be done in ten minutes through other methods. These faster approaches are not documented in obvious places. You have to find information scattered across various blogs. Redpanda should collect all the good blogs and best practices and put them in their documentation. This is more about knowledge management and making it easy for users to understand the product for complex use cases. For simple use cases, it is straightforward. We all use the basic pipe functionality. However, providing more examples would be useful. For example, integration with AWS and the AWS ecosystem would be cool.

Quotes from Members

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

Pros

"The solution can run on any machine and that is a big advantage."
"The scheduling part of the solution is very good."
"The wide range of components which suits a variety of purposes and provides a flexible development environment to the coder."
"I'm very passionate about this solution because if you look at any other tool that costs around $200 - $300,000, like Delphix which costs you a million dollars, Talend is very cheap and is almost is at par with what others can do."
"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."
"We have used value frequency and patterns. We have been it impressed with these functions as they have helped us in making decisions in transformation work."
"Talend Studio has the ability to connect to almost anything to integrate data from files, databases, web services, etc."
"I think Talend is one of the easiest tools for faster implementation compared to other tools."
"The performance is superb, and the value we are getting for the money we pay is great."
"Redpanda is developer-friendly, and we need to do much less configuration because Redpanda provides out-of-the-box configuration for us."
"Aside from its lightweight design, Redpanda is essentially a clone of Kafka with all the good features of Kafka, with the only difference being that Kafka needs too many resources while Redpanda is a very good, lightweight, and very fast database."
"What makes Redpanda superior is its performance since it's written in C++, which is pretty much the standard for high-performance applications."
"I tested it with ten-plus nodes, and it's highly scalable."
"Redpanda was simple and fast, so we went with Redpanda and it just works."
"What makes Redpanda superior is its performance since it's written in C++. C++ is pretty much the standard for high-performance applications."
"The cost savings have been significant."
 

Cons

"I'd be interested in seeing the running of Python programs and transformations from within the studio itself."
"Not enough material is available for beginners."
"I think the memory issues we faced when using the 3GB RAM compared to the 4GB RAM computers caused lot of issues."
"I encountered scalability issues."
"I've had some issues with bugs causing crashes, especially when making changes to the system or with the monthly upgrades to Studio they've introduced."
"With M rows, it runs too slowly and has memory issues."
"The usage of memory. This tool uses a huge amount of memory."
"When we upgraded to Version 6.4.1, we tried using a GIT repository instead of a SVN repository. After a few incidents where things disappeared and changes were not saved, we decided to go back to a SVN repository."
"When it comes to self-hosting, their documentation could be improved."
"Recently, for the documentation, they've built their own AI chatbot, which is focused on giving you answers based on their documentation. While using that, I did not find it to be very good."
"Recently, for the documentation, they've built their own AI chatbot, which is focused on giving you answers based on their documentation. While using that, I did not find it to be very good."
"One area for improvement is providing more examples."
"When it comes to self-hosting, their documentation could be improved."
"I think Redpanda is overall very good for us, and I am uncertain whether Redpanda can scale to very large companies as we are a medium-sized startup."
"The command-line tools need to be improved. To quickly check the status of the topics and all."
"The command-line tools need to be improved. To quickly check the status of the topics and all."
 

Pricing and Cost Advice

"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."
"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."
"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."
"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."
"The tool is cheap."
"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
"The solution's pricing is very reasonable and half the cost of Informatica."
"The licensing cost is about 40,000 Euros a year."
"It's free. Everybody can use it, only support is paid."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Comms Service Provider
8%
Computer Software Company
8%
Government
5%
Financial Services Firm
17%
Comms Service Provider
10%
Computer Software Company
9%
Energy/Utilities Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise11
Large Enterprise20
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise1
Large Enterprise2
 

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 is your experience regarding pricing and costs for Redpanda?
In terms of pricing, Redpanda is free. We do not have to pay anything. It is not open source, but it is free.
What needs improvement with Redpanda?
In Redpanda, the areas that have room for improvement are in the clustering part. Setting up clustering initially is very easy. However, if you are removing a node and attaching another node, signi...
What is your primary use case for Redpanda?
Redpanda serves two primary purposes for our organization. First, we use it as a drop-in replacement for Kafka. Second, we utilize it for streaming analytics. We do not use Redpanda for IoT data st...
 

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
Information Not Available
Find out what your peers are saying about Qlik Talend Cloud vs. Redpanda and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.