

Qlik Talend Cloud and Stitch compete in data integration solutions. Each product has particular strengths, such as Qlik Talend Cloud's advanced feature set and Stitch's affordability and simplicity.
Features: Qlik Talend Cloud provides real-time data access, integration, and robust data quality management, appreciated for its flexibility and community support. Stitch is noted for simplicity, automatic record deletion handling, and efficient data management.
Room for Improvement: Qlik Talend Cloud users suggest enhancements in memory optimization, user guidance during installation, and better integration of data governance solutions. Stitch users seek improvements in support responsiveness, more diverse connectors, and improved error reporting.
Ease of Deployment and Customer Service: Qlik Talend Cloud supports various deployment models with flexible options but has occasional slower support response times. Stitch offers straightforward deployment on public and private clouds with satisfactory customer service, though faster ticket resolution is preferred.
Pricing and ROI: Qlik Talend Cloud is considered costlier, offering high ROI through efficiency but with less flexible pricing tiers. Stitch provides a transparent and affordable pricing model beneficial for smaller companies, delivering good ROI by streamlining processes.
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've got a project at the moment that we estimated the integration was going to be around $200,000 to $300,000, and we've been able to achieve the integration for less than a tenth of that, doing it in-house using Stitch.
I think I have seen a return on investment with Stitch in terms of time saved.
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 best skill set they've got is that they know when the issue is outside of their knowledge, and they escalate really quickly so that we get to the right people when we need them.
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 advise that you should not use Stitch if you are going to build a big number of screens or a heavy UI application with complex designs because it is not ready for that kind of work.
We just spin up a new server and add it into a cluster, and then it pretty much manages the load balancing across all the servers in the cluster.
Stitch can handle a massive amount of data, so I do not think that is a problem.
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.
Stitch is really stable.
I didn't notice any explicit crashes or bugs with Stitch, as it is actually stable.
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.
Stitch cannot connect to all databases or third-party apps, such as Amazon Seller.
I saved a lot of time getting from having no design inspiration to having full-fledged designs.
I suggest developing a featured interface that is easier to use.
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.
My experience with pricing, setup cost, and licensing is that it is pretty easy, pretty straightforward, and the cheapest of them all.
The cost of the seats is actually cheaper by the amount of value that you're adding to the business.
My experience with pricing, setup cost, and licensing for Stitch shows that it is a bit costlier.
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.
The image to HTML conversion helps me in my projects because it allows you to acquire professional designs without starting from scratch.
We take one week of time to design an application, but now we can design that application within two days, which is 16 hours.
We can easily move and do time-to-market for a new pipeline and new integration, positively impacting our organization.
| Product | Mindshare (%) |
|---|---|
| Qlik Talend Cloud | 4.8% |
| Stitch | 1.5% |
| Other | 93.7% |

| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 3 |
| Large Enterprise | 4 |
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.
Stitch is a cloud-based ETL service designed to synchronize data between a variety of sources and destinations, offering robust and scalable data integration capabilities.
Stitch facilitates seamless data integration, providing users with real-time data movement across their tech stack. Its flexible architecture allows easy connectivity between diverse systems and ensures data consistency. With its user-friendly setup, Stitch empowers data teams to efficiently manage complex data workflows, enhancing decision-making and operational efficiency.
What are Stitch's most important features?In industries like e-commerce and finance, Stitch is instrumental in integrating data from sales platforms and financial systems to analytics tools. Retailers can combine online and offline sales data, while financial firms streamline data into centralized repositories, ensuring comprehensive analysis and reporting.
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