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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:
 

ROI

Sentiment score
6.1
Qlik Talend Cloud enhances efficiency and data quality, automating processes to save time, reduce errors, and accelerate business decisions.
Sentiment score
3.5
Users experience high ROI from Redpanda due to cost savings, operational efficiency, easy setup, and enhanced investment experience.
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
I have seen a return on investment and personal gains since I started using Redpanda.
Senior Software Engineer at Prestatech
 

Customer Service

Sentiment score
7.1
Qlik Talend Cloud users praise responsive support but suggest expert involvement and documentation improvements; community and AI also assist.
Sentiment score
4.9
Redpanda's customer service is valued for its knowledgeable support, useful community, and helpful resources during onboarding processes.
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
Redpanda has really amazing customer support based on my experience and from what I have read.
Senior Software Engineer at Prestatech
Not the technical support as in the usual way, but the community and the development support was great.
Software Engineer
The AWS team is also supporting us at any point.
SDE-2 at a tech vendor with 1-10 employees
 

Scalability Issues

Sentiment score
6.8
Qlik Talend Cloud efficiently scales with resources, but performance varies; infrastructure management ensures adaptability and dynamic scaling.
Sentiment score
6.6
Redpanda is highly scalable, praised for efficient storage and container compatibility, with minor concerns about data retention and complexity.
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
We've set up alerts, so if we have an increasing volume and so on, it's up to us to increase CPU, increase RAM, and all those details.
Software Development Manager at a comms service provider with 201-500 employees
I would rate it ten out of ten for scalability.
Co Founder & CEO at SaYukth Private Limited
We never scaled horizontally by adding one machine, then two machines, then three machines, and so forth.
Software Analyst at CLSA
It is properly scalable and you can simply put it on a Kubernetes Pod or Docker Swarm and scale horizontally or vertically.
CTO at a tech services company with 1-10 employees
 

Stability Issues

Sentiment score
7.1
Qlik Talend Cloud is stable with an 8/10 rating, but requires correct configuration and faces minor issues.
Sentiment score
8.5
Redpanda is considered highly stable by users, effectively handling workloads with high reliability, consistency, and minimal issues.
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
Redpanda is very stable.
SDE-2 at a tech vendor with 1-10 employees
I do not know about systems with ten thousand microservices and how they would react in that situation, but in our system where the latency and the throughput were way more important with less amount of things integrated with Redpanda, it was fine.
Software Engineer
I would rate it around eight or nine.
Software Analyst at CLSA
 

Room For Improvement

Qlik Talend Cloud needs improved speed, governance, AI, real-time processing, connectors, documentation, and monitoring for enhanced usability and support.
Redpanda requires better documentation, clustering, hardware support, and improved tools for integration, debugging, and connector options.
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
It needs better modern hardware with a better CPU, not just a normal CPU. A server-grade CPU is required.
Co Founder & CEO at SaYukth Private Limited
The biggest scalability improvement could be the retention.
Data Engineer at Datacrop
I think for the connectors, they are still young, so they need to enhance the connectors with anything such as MongoDB, cloud, big data, Elasticsearch, Datadog, Splunk, MySQL, databases, SGBDR, flat file, anything.
Middleware Tech Lead at MQnovaTool
 

Setup Cost

Qlik Talend Cloud is cost-effective with flexible pricing, though add-ons and global pricing variations impact affordability.
Redpanda provides a cost-effective alternative to Kafka, offering free versions and straightforward setup, with paid support options.
The setup cost is very expensive.
Software Development Manager at a comms service provider with 201-500 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
In terms of pricing, Redpanda is free.
Co Founder & CEO at SaYukth Private Limited
My experience with pricing, setup cost, and licensing for Redpanda is that it is straightforward with fast deployment.
CTO at a tech services company with 1-10 employees
 

Valuable Features

Qlik Talend Cloud excels in open-source ETL, seamless data integration, user-friendly interfaces, and scalable, efficient, collaborative data management.
Redpanda provides high performance and Kafka compatibility with low resource consumption, benefiting developers with efficient scaling and configuration.
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
Redpanda has positively impacted my organization by allowing us to move from a batch approach to a more streaming approach for our jobs, which cuts down on our delivery time and allows us to better meet our SLAs for our clients.
Senior Data Engineer at a tech vendor with 11-50 employees
This is excellent for streaming data and it is faster than most alternatives, and without JVM, which is beneficial.
CTO at a tech services company with 1-10 employees
The command-line interface and the UI have made my work easier by allowing me to deal with topics or with configurations really easily, issuing commands.
Senior Software Engineer at Prestatech
 

Categories and Ranking

Qlik Talend Cloud
Ranking in Streaming Analytics
6th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
Ranking in other categories
Data Integration (7th), Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (6th), Data Governance (9th), Cloud Master Data Management (MDM) (3rd), Integration Platform as a Service (iPaaS) (6th)
Redpanda
Ranking in Streaming Analytics
5th
Average Rating
8.6
Reviews Sentiment
6.4
Number of Reviews
14
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Streaming Analytics category, the mindshare of Qlik Talend Cloud is 3.2%, up from 1.1% compared to the previous year. The mindshare of Redpanda is 2.0%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
Redpanda2.0%
Qlik Talend Cloud3.2%
Other94.8%
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Comms Service Provider
10%
Construction Company
9%
Outsourcing Company
8%
Financial Services Firm
21%
Comms Service Provider
11%
Educational Organization
8%
Computer Software Company
8%
 

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 Business8
Midsize Enterprise1
Large Enterprise4
 

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?
Regarding my experience with pricing, setup cost, and licensing for Redpanda, I am exploring the product. If I am convinced about the product and the capabilities, and I am sure I will be because I...
What needs improvement with Redpanda?
Redpanda can be improved in several ways, and the more I experiment with the product, the more limitations I find. I understand that this is about business, and the product should grow, and they ha...
What is your primary use case for Redpanda?
My main use case for Redpanda is primarily for streaming, and I am currently focusing on building data lakehouses because I find them really interesting. Redpanda fits into my data lakehouse setup ...
 

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: August 2026.
909,725 professionals have used our research since 2012.