

Qlik Talend Cloud and Boomi iPaaS are leading integration platforms that cater to diverse organizational needs. While Qlik Talend Cloud is appreciated for its competitive pricing and support, Boomi iPaaS is favored for its extensive features, which make it more appealing to mid-to-large enterprises needing advanced data management options.
Features: Qlik Talend Cloud provides a comprehensive suite of integration tools, enabling real-time data access and customization through Java code. It offers scalable data handling, cloud deployment, and comprehensive monitoring via the Talend Admin Console, excelling in data quality management with numerous connectors. Boomi iPaaS features a zero-code IDE, supports multi-tenant cloud operations, and offers over 200 standard connectors alongside strong data mapping and automatic regression testing, providing reliable and efficient integration capabilities across various applications and systems.
Room for Improvement: Qlik Talend Cloud encounters issues with stability, memory usage, and installation inconsistencies with large datasets. Enhancements in documentation and error handling are needed. Boomi iPaaS could strengthen its API management, increase scripting flexibility, and improve its documentation to better support advanced users. Both platforms could benefit from more robust scripting assistance and integration capabilities.
Ease of Deployment and Customer Service: Qlik Talend Cloud offers versatile deployment options across on-premises, private cloud, and hybrid environments and is praised for responsive customer service. Boomi iPaaS excels in hybrid cloud deployment and matches high expectations in technical support strength. Both platforms present some challenges during deployment but maintain effective customer service to address user concerns.
Pricing and ROI: Qlik Talend Cloud is known for its cost-effectiveness with open-source access, although prices may appear higher than expected. However, users find it a worthwhile investment due to its functionalities. Boomi iPaaS employs a pay-per-use model based on connections, offering scalability and cost-effectiveness. Despite initial cost increases with additional connectors, users experience significant ROI through time savings and integration capacity. Both platforms demonstrate strong ROI with noticeable operational time and cost savings.
We have automated complete order-to-cash processes for multiple customers, saving over 90 million dollars.
The return is faster since development efforts are minimized, allowing for quicker integration delivery.
I have observed a 100% return on investment, with considerable time saved and clients very happy with the output they received.
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.
Seamlessly meeting SLAs and providing excellent responses to challenges and issues related to interface and data connectivity.
The tech support is very good, offering immediate responses and chat options.
We receive service that is more than adequate, even exceptional.
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 reason we wanted to use our own Kubernetes cluster was to do automatic scaling for utilized resources, allowing us to save.
We have built approximately 1,100 interfaces for one customer, which is a significant achievement.
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.
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 integration landscape has become complex, and having a data strategy with unified data models would make integration easier for any platform, including Boomi.
A significant area for improvement is version control.
The ETL aspect of Boomi iPaaS is not mature enough at the moment.
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.
While pricing is relative, compared to others, it is favorable.
The pricing for Boomi iPaaS is reasonable, costing around $6,000 per year.
My experience with pricing, setup cost, and licensing indicates it is a little bit high but still reasonable.
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 automates the creation and population of a data warehouse, reducing the need to write SQL scripts and procedures.
I can definitely say I see specific positive outcomes after moving to Boomi iPaaS, noting improvements in efficiency, cost savings, and faster project delivery.
The most valuable features of Boomi are the integration capabilities, the Data Hub product, and the UDI integration.
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 | Mindshare (%) |
|---|---|
| Boomi iPaaS | 8.0% |
| Qlik Talend Cloud | 4.8% |
| Other | 87.2% |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 20 |
The Boomi AtomSphere integration platform as a service (iPaaS) supports all your application integration processes – between cloud platforms, software-as-a-service applications, and on-premises systems. Your entire team has online access to a powerful range of integration and data management capabilities, that can be realized in a fraction of the time of legacy middleware technologies.
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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