

Qlik Talend Cloud and IBM API Connect compete in the data integration and API management category, respectively. Qlik Talend Cloud seems to have the upper hand in data integration with its extensive toolset and flexibility, while IBM API Connect excels in API management and security features.
Features: Qlik Talend Cloud offers robust data integration tools, wide connectivity options, and a centralized repository for metadata sharing, which enhances collaborative work. Its flexibility allows for custom coding, enabling advanced data transformations with tools like TMap. IBM API Connect provides a comprehensive API management environment, with strong integration capabilities, exceptional security measures, and a unified platform for API lifecycle management, making it ideal for secure and efficient API operations.
Room for Improvement: Talend users find system stability, memory usage, and a steep learning curve need improvement. Enhancements in support, documentation, and real-time processing are desired. IBM API Connect requires better scalability, enhanced user-friendliness, and smoother support interactions. The complexity of installation and improvement in documentation and on-premise performance, especially for asynchronous API handling, are also highlighted areas.
Ease of Deployment and Customer Service: Both Talend and IBM API Connect offer flexible deployment options, including on-premises and cloud environments. Talend users frequently rely on community support, whereas IBM API Connect is praised for comprehensive technical support, though both could benefit from more straightforward deployment processes and enhanced support responsiveness.
Pricing and ROI: Talend's competitive pricing model, particularly with its open-source community edition, offers cost-effective entry options, albeit with some confusion in mid-tier pricing. In contrast, IBM API Connect is perceived as expensive, especially for smaller enterprises, but remains a preferred choice for large-scale operations requiring comprehensive API management. Both demonstrate integration efficiency and time-saving benefits that contribute to their ROI, varying significantly with organizational size and use cases.
Reducing development hours from eighty to four for an API was possible due to reusing existing scripts from DataPower.
I have seen a return on investment from using IBM API Connect, as we created multiple plans based on customer usage.
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.
Support is excellent when it comes to APIC.
Support is extremely good, especially with Sev 1 issues.
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.
With container versions, scaling up or down the gateways deployed into pods is a two to three-minute task for the operations team.
It is distributed among IBM MQ, IBM Ace, IBM DataPower, and IBM API Connect.
IBM API Connect's scalability is good, as you can handle it easily similar to how you manage cloud providers.
By using features like job parallelization and modular design, we can expand our data flows without having to rebuild everything.
The scalability of Talend Data Integration is good; if it weren't scalable, it wouldn't be reliable.
Its scalability is good, as Qlik Talend Cloud can handle large amounts of data and grow as needed, especially in cloud environments.
The runtime engine for the APIC Gateway is still a DataPower component, which has been stable in the industry for about fifteen years.
If it is functioning well, you won't have a bad experience and your application becomes more reliable.
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.
Examples include the lack of connectivity to MQ.
You need to know when traffic peaks, so use auto-scaling when traffic comes.
Connectivity to MQ is not available in IBM API Connect.
On the flip side, that is one of its amazing strengths, as you are not locked into a very rigid way of doing something.
It would be great to have more ready-to-use connectors for modern cloud and SaaS platforms.
Talend Data Integration can be improved by reducing the license cost, as it is a bit high compared to other tools, which can be a burden for small-scale companies wanting to buy a license.
Pricing depends on how many instances run across environments.
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.
It offers significant development efficiency, reducing man-hours from eighty to four when creating APIs.
We can add some policies to provide extra security, protect your backend, validate the consumers, and analyze based on the traffic limit to throw things out.
IBM API Connect has a designer and CLI features which can be used to completely automate the API.
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 (%) |
|---|---|
| Qlik Talend Cloud | 4.2% |
| IBM API Connect | 2.2% |
| Other | 93.6% |
| Company Size | Count |
|---|---|
| Small Business | 19 |
| Midsize Enterprise | 10 |
| Large Enterprise | 61 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 19 |
IBM API Connect is an API management tool providing robust security, seamless REST and SOAP conversion, and flexible deployment options for diverse cloud environments. It aids organizations in securing and monetizing their APIs while streamlining the development process.
IBM API Connect offers features like a security gateway, API lifecycle management, and integration with DataPower. Its intuitive interface enhances ease of use, supporting extensive analytics and traffic management. However, there are areas for improvement in automation, system integration, and user configuration. Organizations can deploy API Connect on-premises or in the cloud, delivering secure access control and analytics for banking, financial services, and government sectors. Compliance with standards like PSD2 ensures secure external API exposure and integration with multiple systems.
What are the most important features of IBM API Connect?In specific industries like banking, financial services, and government sectors, IBM API Connect plays a crucial role in API management, orchestration, and regulation tasks. It provides secure access, control, and compliance with industry standards, serving as an essential gateway for data exchange and integration across multiple systems.
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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