

Qlik Talend Cloud and Amazon MSK compete in the data integration and streaming domain. Users see Talend as more cost-effective and adaptable, while Amazon MSK is preferred for its performance and integration within Amazon's ecosystem.
Features: Talend offers real-time data integration tools, customization capabilities, and advanced monitoring, enabling efficient integration of complex systems. Amazon MSK excels in real-time analytics and ease of deploying new features, making it suitable for seamless production environments.
Room for Improvement: Talend can enhance system stability and improve documentation, with users noting issues in installation and support. Amazon MSK needs better configuration options and cost-efficiency, as initial setup can be cumbersome and documentation lacks depth.
Ease of Deployment and Customer Service: Talend provides diverse deployment options, including on-premise and cloud, offering flexibility in complex environments. Its customer service is reliable but occasionally inconsistent. Amazon MSK, mainly cloud-focused, is well-integrated within AWS, with user-rated high customer service and minimal reported issues.
Pricing and ROI: Talend's open-source options and competitive pricing benefit smaller projects, whereas Amazon MSK's pricing suits larger workloads. Both solutions deliver significant ROI by improving process efficiency and saving time. Users recommend evaluating data volume for cost-effectiveness.
It has helped us save a lot of time by automating repetitive data processes and reducing manual interventions.
We achieved around 20% to 30% time savings in the ETL process, reduced operational errors, and improved pipeline stability.
We actually achieved the first 18 months worth of work in the first six months.
They can manage most of our queries, and for what they cannot manage, they guide us through the process of finding out.
Amazon's support is excellent.
The support team is responsive when we raise issues, and they usually provide clear guidance or solutions.
I would rate the technical support from Talend Data Quality as an 8 or 9.
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.
The functionality for scaling comes out of the box and is very effective.
As a B2B enterprise client, our clientele consists of large ticket clients but low amounts of users.
By using features like job parallelization and modular design, we can expand our data flows without having to rebuild everything.
Its scalability is good, as Qlik Talend Cloud can handle large amounts of data and grow as needed, especially in cloud environments.
The scalability of Talend Data Integration is good; if it weren't scalable, it wouldn't be reliable.
It doesn't require any maintenance on my end yet, as I haven't had any issues.
We have not encountered many issues with remote engines, and the interfaces are properly developed.
Once the jobs are properly designed and deployed, they run reliably without major issues.
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.
The increase in cloud costs by 50% to 60% does not justify the savings.
The only issue with Amazon MSK that we are facing is the configurations.
I had to remove and drop all the clusters and recreate them again, which is complicated in a production environment.
On the flip side, that is one of its amazing strengths, as you are not locked into a very rigid way of doing something.
Better cost and resource visibility would help teams optimize their workloads.
It would be great to have more ready-to-use connectors for modern cloud and SaaS platforms.
Once we started using Kafka, our cloud costs rose by 50% to 60%.
We use Kafka M5 Large instance, and depending on the instances, that is the cost we have, along with storage cost and data transfer costs.
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.
The license cost has increased significantly, leading many companies to seek more profitable options in the market.
The scalability and usability are quite remarkable.
The best features of Amazon MSK are the real-time analytics that are excellent.
Amazon MSK is basically Kafka in the cloud, and when you need to create a cluster of Kafka brokers, Amazon MSK helps with that by automatically creating all the brokers according to the configuration you provide.
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 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.
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.
| Product | Market Share (%) |
|---|---|
| Amazon MSK | 5.1% |
| Qlik Talend Cloud | 1.8% |
| Other | 93.1% |

| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 7 |
| Large Enterprise | 4 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 20 |
Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that enables you to build and run applications that use Apache Kafka to process streaming data. Amazon MSK provides the control-plane operations, such as those for creating, updating, and deleting clusters.
Qlik Talend Cloud provides robust data integration tools tailored for efficient management of large volumes, offering real-time data access, Java integration, and custom code capabilities for developers.
Qlik Talend Cloud is known for its extensive connectivity options, enabling seamless integration across different platforms, such as S3, Redshift, Oracle, and SQL Server. The central repository facilitates consistent metadata access throughout organizations, enhancing collaboration. Despite its strengths in advanced monitoring, automation, and user-friendly drag-and-drop interfaces, users face challenges with installation stability, technical support, documentation inconsistencies, and complexities in learning. Performance concerns also include multitasking limitations and excessive memory usage. The platform's licensing costs can be prohibitive for smaller companies, while demands for improved data governance and intuitive code management continue. Its applications in healthcare data parsing, ETL task automation, and diverse data platform integration demonstrate its utility, although there's a constant demand for better scalability and efficient transformations.
What are the key features?In specialized industries like healthcare, users leverage Qlik Talend Cloud for data integration and transformation, aiding in compliance and analytics. Compatibility with cloud and on-premises systems ensures adaptability to complex data tasks, facilitating business application development. Organizations focus on enhanced data ingestion and quality checks for comprehensive solutions.
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