

Qlik Talend Cloud and SAS Data Management both compete in the data integration tools category. SAS Data Management seems to have the upper hand due to its strong customer service ratings and robust data governance capabilities.
Features: Qlik Talend Cloud is praised for its open-source flexibility, vast community support, and the ability to develop custom code in Java. It offers advanced data quality metrics and valued features like TMap and TAC for customization. SAS Data Management is noted for its strong data standardization and transformation capabilities, providing a unified view of enterprise data with comprehensive governance features, making it suitable for complex ETL processes.
Room for Improvement: Qlik Talend Cloud users report issues with installation, memory consumption, and system stability, pointing to the need for better technical support and documentation. There are also challenges in code debugging and configuration complexities in cloud environments. SAS Data Management is considered expensive, with users suggesting improvements in integration capabilities and connectivity to cloud services. Enhancing user interface intuitiveness and data processing performance could benefit both products.
Ease of Deployment and Customer Service: Qlik Talend Cloud supports diverse deployment options, making it versatile across on-premises, public, and hybrid clouds, although user experiences with customer service vary. SAS Data Management is primarily on-premise but is broadening into hybrid deployments. It earns high marks for customer support, appreciated for responsiveness and effective technical solutions.
Pricing and ROI: Qlik Talend Cloud's open-source model offers cost-effectiveness and flexibility, especially attractive for smaller businesses, with competitive pricing and reported high ROI due to automation and reduced errors. SAS Data Management, while seen as expensive with less flexible licensing, provides significant ROI through time savings and improved operational efficiencies, perceived as more suitable for enterprise needs.
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.
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 support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues.
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.
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.
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.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
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.
From my experience, SAS Data Management is an expensive tool.
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.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
The best features I appreciate about SAS Data Management tool are that it's easy to create the flows and schedule data, and the tables are not too big, making it easy to control the ETL process, including user access which is also easy to manage in SAS.
| Product | Market Share (%) |
|---|---|
| Qlik Talend Cloud | 1.9% |
| SAS Data Management | 1.0% |
| Other | 97.1% |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 18 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 1 |
| Large Enterprise | 8 |
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.
Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.
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