

Qlik Talend Cloud and Microsoft Data Quality Services compete in data management and quality improvement. Qlik Talend Cloud is favored for its integration capabilities, while Microsoft Data Quality Services shines in data quality, suggesting a more comprehensive solution.
Features: Qlik Talend Cloud offers versatile data integration, broad third-party support, and scalability, suitable for dynamic data environments. Microsoft Data Quality Services focuses on data profiling, cleansing, and matching, essential for maintaining data accuracy and integrity.
Ease of Deployment and Customer Service: Qlik Talend Cloud provides cloud-based deployment, easing setup and management with responsive customer service. Microsoft Data Quality Services entails a traditional deployment process, potentially more complex but complemented by robust support channels.
Pricing and ROI: Qlik Talend Cloud generally presents a lower initial setup cost, attractive for small to mid-sized organizations, offering quicker ROI. Microsoft Data Quality Services demands higher upfront costs but promises significant long-term returns due to its extensive data quality features.
| Product | Market Share (%) |
|---|---|
| Qlik Talend Cloud | 6.6% |
| Microsoft Data Quality Services | 1.7% |
| Other | 91.7% |

| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 19 |
SQL Server Data Quality Services (DQS) is a knowledge-driven data quality product. DQS enables you to build a knowledge base and use it to perform a variety of critical data quality tasks, including correction, enrichment, standardization, and de-duplication of your data.
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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