

Qlik Talend Cloud and Microsoft Azure Logic Apps compete in the data integration and workflow automation category. Qlik Talend Cloud has an advantage in terms of flexibility due to its custom coding capabilities and rich set of integration tools, while Microsoft Azure Logic Apps stands out with its ease of use and seamless integration with other Microsoft services.
Features: Qlik Talend Cloud provides a central metadata repository, advanced monitoring tools, and the ability to modify Java code, making it highly customizable. It also offers a wide range of connectors for different databases and cloud platforms. Microsoft Azure Logic Apps emphasizes simplicity in workflow automation, offering prebuilt connectors and minimal code requirements, enabling fast integration setups and deployment.
Room for Improvement: Qlik Talend Cloud users face challenges with system stability, memory usage, and the completeness of its documentation. Enhanced support and more efficient data handling are also desired. Microsoft Azure Logic Apps could benefit from increased scalability, enhanced customization options, and clearer cost structure transparency. Integrated AI features and improved documentation are also on users' wish lists.
Ease of Deployment and Customer Service: Qlik Talend Cloud supports flexible deployment models including on-premises, public, and hybrid clouds, but users appreciate its prompt technical support response. Microsoft Azure Logic Apps is tailored for the Azure ecosystem, providing ease of deployment for users familiar with Microsoft products, and benefits from seamless integration with Microsoft services.
Pricing and ROI: Qlik Talend Cloud offers flexible pricing, including open-source options, providing a cost-efficient choice for businesses without significant initial investment, often delivering good ROI with time savings. Microsoft Azure Logic Apps uses a pay-as-you-go model, which can become costly with high usage levels, yet still offers reasonable pricing based on service combinations and usage intensity.
You can't generalize it because it depends on how many connectors you use, how many workflows you build, what scalability is required, and the amount of data to be ingested.
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.
It is easy to reach out to Microsoft for support if needed.
The support is good, with multiple options like developer support and 24x7 support.
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.
It's just clicks away, and you can also set it up as auto-scaling.
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 have never seen it misperforming.
We have had it implemented for two years without 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.
Microsoft Azure Logic Apps needs further development in consistency and durability, particularly for handling larger data volumes beyond 1 MB.
The business rules engine is still not fully developed, and it would be very helpful to see improvements here.
My experience with their pricing indicates that pricing is complicated to understand and costly.
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.
There are no upfront licensing costs or contracts you are bound to.
Microsoft provides a reliable solution, but it is considered expensive compared to others.
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 workflow in Logic Apps enables integrating multiple applications.
Microsoft Azure Logic Apps has many features that are beneficial for workflow automation, such as running automation tasks and facilitating communication between different interfaces.
Even for Blob storage, we use tokenized endpoints that give us access to this storage account, making it secure.
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 (%) |
|---|---|
| Microsoft Azure Logic Apps | 6.0% |
| Qlik Talend Cloud | 4.8% |
| Other | 89.2% |

| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 2 |
| Large Enterprise | 24 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 20 |
Connect your business-critical apps and services with Azure Logic Apps, automating your workflows without writing a single line of code.
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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