Qlik Talend Cloud and Amazon Kinesis are major competitors in the data integration and real-time data processing sector. Amazon Kinesis appears to have an advantage with its robust real-time processing capabilities and seamless AWS integration, which enhances efficiency in handling high data volumes.
Features: Qlik Talend Cloud integrates with multiple data sources, offering advanced features like custom code and connectors, which provide a flexible development environment. It also features a large user community that assists in customizing solutions. Amazon Kinesis excels in real-time data processing and analytics, with strong capabilities in speed and efficiency. It is optimized for seamless integration with AWS services and can manage high volumes of data effortlessly.
Room for Improvement: Qlik Talend Cloud struggles with memory usage and stability issues during installation, and its documentation and troubleshooting support require enhancements. Users also report difficulties with complex components. Amazon Kinesis is seen as less intuitive with improvements needed in its documentation, error tracking mechanisms, and logging system, particularly for non-AWS environments.
Ease of Deployment and Customer Service: Qlik Talend Cloud is versatile, suitable for on-premises and hybrid cloud environments, and offers robust customer support. However, feedback on technical assistance is mixed. Amazon Kinesis is optimized for public cloud and receives praise for its customer service and technical support, though suggestions for better support outside AWS services exist.
Pricing and ROI: Talend offers cost-effective open-source options with potential setups. Its competitive subscription model contrasts with pricier competitors, demonstrating significant ROI through reduced manual processes. Amazon Kinesis is priced for routine tasks but has costly analytics features. It offers a competitive licensing structure, with rising costs when scaling. Both solutions provide clear ROI, with Talend being more flexible for small to medium-sized businesses and Kinesis offering robust real-time streaming options.
With Lambda, there is no need for data transfer charges, which is beneficial for less frequent workloads.
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.
We receive prompt support from AWS solution architects or TAMs.
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.
Amazon Kinesis provides auto-scaling with streams that handle large volumes well.
I would rate the scalability of Amazon Kinesis as a nine.
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.
I would rate the stability of Amazon Kinesis as high, giving it a 10.
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.
There is no lack of functions in Amazon Kinesis. Functionality-wise, we feel it's complete.
Amazon Kinesis could improve its pricing to be more competitive, especially for large volumes.
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.
Amazon Kinesis and Lambda pricing is competitive, but we noticed that scaling and large volumes could potentially increase costs significantly.
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.
Lambda's scalability, seamless integration with other AWS services, and support for multiple programming languages are very beneficial.
Amazon Kinesis integrates easily with the AWS environment.
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 Kinesis | 5.6% |
| Qlik Talend Cloud | 1.8% |
| Other | 92.6% |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 10 |
| Large Enterprise | 9 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 20 |
Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.
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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