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Amazon Kinesis vs Qlik Talend Cloud 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
7.0
Organizations benefit financially from Amazon Kinesis through improved data processing, cost savings, and seamless AWS service integration.
Sentiment score
6.1
Qlik Talend Cloud enhances efficiency and data quality, automating processes to save time, reduce errors, and accelerate business decisions.
With Lambda, there is no need for data transfer charges, which is beneficial for less frequent workloads.
AWS Cloud Architect at a healthcare company 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
7.2
Amazon Kinesis support varies, with response quality influenced by user-AWS relationships and complexity of the issues faced.
Sentiment score
7.1
Qlik Talend Cloud users praise responsive support but suggest expert involvement and documentation improvements; community and AI also assist.
We receive prompt support from AWS solution architects or TAMs.
AWS Cloud Architect at a healthcare company 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
7.3
Amazon Kinesis offers robust scalability with sharding and auto-scaling, ideal for high data throughput, despite some cost considerations.
Sentiment score
6.8
Qlik Talend Cloud efficiently scales with resources, but performance varies; infrastructure management ensures adaptability and dynamic scaling.
Amazon Kinesis provides auto-scaling with streams that handle large volumes well.
AWS Cloud Architect at a healthcare company with 10,001+ employees
I would rate the scalability of Amazon Kinesis as a nine.
Director of Software Development at a tech vendor with 10,001+ 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
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
 

Stability Issues

Sentiment score
7.8
Amazon Kinesis is reliable with minor issues, praised for consistent performance and effective fault-tolerance features.
Sentiment score
7.1
Qlik Talend Cloud is stable with an 8/10 rating, but requires correct configuration and faces minor issues.
I would rate the stability of Amazon Kinesis as high, giving it a 10.
Director of Software Development at a tech vendor with 10,001+ 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

Amazon Kinesis users seek enhancements in data aggregation, integration, automation, retention, cost reduction, compatibility, machine learning, and documentation.
Qlik Talend Cloud needs improved speed, governance, AI, real-time processing, connectors, documentation, and monitoring for enhanced usability and support.
There is no lack of functions in Amazon Kinesis. Functionality-wise, we feel it's complete.
Director of Software Development at a tech vendor with 10,001+ employees
Amazon Kinesis could improve its pricing to be more competitive, especially for large volumes.
AWS Cloud Architect at a healthcare company with 10,001+ employees
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

Amazon Kinesis offers competitive pricing, though costs rise with scaling, large data volumes, and Kinesis Analytics can be expensive.
Qlik Talend Cloud is cost-effective with flexible pricing, though add-ons and global pricing variations impact affordability.
Amazon Kinesis and Lambda pricing is competitive, but we noticed that scaling and large volumes could potentially increase costs significantly.
AWS Cloud Architect at a healthcare company with 10,001+ employees
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
 

Valuable Features

Amazon Kinesis provides easy, scalable streaming with AWS integration, supporting analytics and monitoring without complex infrastructure management.
Qlik Talend Cloud excels in open-source ETL, seamless data integration, user-friendly interfaces, and scalable, efficient, collaborative data management.
Lambda's scalability, seamless integration with other AWS services, and support for multiple programming languages are very beneficial.
AWS Cloud Architect at a healthcare company with 10,001+ employees
Amazon Kinesis integrates easily with the AWS environment.
Director of Software Development at a tech vendor with 10,001+ 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

Amazon Kinesis
Ranking in Streaming Analytics
11th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
29
Ranking in other categories
No ranking in other categories
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)
 

Mindshare comparison

As of August 2026, in the Streaming Analytics category, the mindshare of Amazon Kinesis is 4.0%, down from 7.6% compared to the previous year. The mindshare of Qlik Talend Cloud is 3.2%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud3.2%
Amazon Kinesis4.0%
Other92.8%
Streaming Analytics
 

Featured Reviews

reviewer1480695 - PeerSpot reviewer
Director of Software Development at a tech vendor with 10,001+ employees
Has enabled real-time processing of critical event streams with seamless cloud integration
We are contemplating moving away from Amazon Kinesis primarily because of the cost. It is very useful, but if we write our own analytics and data processing pipeline, it would be much cheaper for us. The cost is a primary hindrance. That's why we are not using it widely. For our critical pipeline we are using it, but after that we are putting it in an S3 bucket. Other pipelines directly put the events in an S3 bucket and then process from there. There is no lack of functions in Amazon Kinesis. Functionality-wise, we feel it's complete. The cost aspect is what we are really concerned about.
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
16%
Computer Software Company
10%
Manufacturing Company
7%
Outsourcing Company
6%
Financial Services Firm
15%
Comms Service Provider
10%
Construction Company
9%
Outsourcing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise10
Large Enterprise10
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
Large Enterprise20
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon Kinesis?
Amazon Kinesis and Lambda pricing is competitive, but we noticed that scaling and large volumes could potentially increase costs significantly.
What needs improvement with Amazon Kinesis?
We are contemplating moving away from Amazon Kinesis primarily because of the cost. It is very useful, but if we write our own analytics and data processing pipeline, it would be much cheaper for u...
What is your primary use case for Amazon Kinesis?
We use Amazon Kinesis for stream processing. We get events from on-premise devices to the cloud. We get many device events and we have to process these events that are coming from the devices. To p...
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

Amazon AWS Kinesis, AWS Kinesis, Kinesis
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

Zillow, Netflix, Sonos
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Amazon Kinesis vs. Qlik Talend Cloud and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.