

Qlik Talend Cloud and SAP Information Steward are leading competitors in the data integration and data quality management sector. While both excel in their niches, Qlik Talend Cloud seems to hold an edge with its adaptability and lower cost, appealing to a broader audience.
Features: Qlik Talend Cloud provides dynamic data integration tools with features like real-time access, multiple connectors, and Java code customization. It offers flexibility, enabling custom development options with extensive community support. SAP Information Steward is strong in data quality metrics, metadata management, and data governance. Key features include effective data cleansing, validation, and metadata management that enhance governance capabilities.
Room for Improvement: Qlik Talend Cloud users highlight challenges with system stability, memory optimization, and error troubleshooting. Documentation and integrated data governance features need enhancement. SAP Information Steward could improve by supporting deeper data manipulation and integration with other tools like Power BI, better handling of bad data, and more responsive technical support.
Ease of Deployment and Customer Service: Qlik Talend Cloud offers flexible deployment options across hybrid and public cloud environments, praised for its scalability and responsive customer support. SAP Information Steward is typically more on-premises, excelling in technical support but could enhance support for comprehensive deployment strategies.
Pricing and ROI: Qlik Talend Cloud is cost-effective, leveraging open-source components and a subscription model, but users express concerns over rising post-acquisition license costs. SAP Information Steward is perceived as expensive, which might limit smaller firms. Both show significant ROI via time savings and automation, but SAP Information Steward's cost and Qlik Talend Cloud's flexibility present contrasting economic considerations.
| Product | Mindshare (%) |
|---|---|
| Qlik Talend Cloud | 7.0% |
| SAP Information Steward | 3.1% |
| Other | 89.9% |

| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 1 |
| Large Enterprise | 7 |
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.
Monitor, analyze, and improve data integrity with SAP Information Steward software. Combine data profiling and metadata management tools for continuous insight into the quality of enterprise information to optimize processes, and enhance operational, analytical, and data governance initiatives.
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