Informatica Intelligent Data Management Cloud (IDMC) and Qlik Compose are significant players in the data management sector. Based on feature richness and flexibility, IDMC tends to hold an advantage due to its comprehensive capabilities and integration support.
Features:IDMC offers seamless integration of MDM, data quality, and data integration modules. It supports various styles with a flexible architecture and excels in data profiling and ETL capabilities. Qlik Compose provides basic ETL functions and suitable automation features, including real-time replication and automation capabilities for designing warehouses.
Room for Improvement:IDMC needs to enhance integration with SAP systems, improve data stewardship, and address GUI performance issues. Users seek more pre-configured business rules. Qlik Compose requires enhancements in scalability and better transformation functions for large-scale data processing.
Ease of Deployment and Customer Service:IDMC is available for on-premises, hybrid, and cloud environments, providing flexible customer service, praised for support but affected by time zone delays. Qlik Compose is primarily for on-premises and private cloud, with mixed service reviews varying from prompt to slow.
Pricing and ROI:IDMC is considered costly but offers comprehensive features with good ROI from improved data quality and reduced management time. Qlik Compose is less cost-effective, lacking advanced features for complex transformations, resulting in higher licensing costs but remains competitive in the market.
Product | Market Share (%) |
---|---|
Informatica Intelligent Data Management Cloud (IDMC) | 3.6% |
Qlik Compose | 1.0% |
Other | 95.4% |
Company Size | Count |
---|---|
Small Business | 42 |
Midsize Enterprise | 24 |
Large Enterprise | 134 |
Company Size | Count |
---|---|
Small Business | 3 |
Midsize Enterprise | 3 |
Large Enterprise | 6 |
Informatica Intelligent Data Management Cloud (IDMC) integrates data quality, governance, and integration with flexible architecture. It supports multiple domains and a data models repository, delivering AI-enhanced data management across cloud-native platforms.
IDMC provides seamless integration and governance capabilities that support diverse data environments. Its comprehensive suite includes customizable workflows, data profiling, and metadata management. AI features, a data marketplace, and performance scalability enhance data management. While its interface poses challenges, its robust matching and cloud-native integration facilities are essential for complex data ecosystems. Users employ IDMC for connecting systems, ensuring data quality, and supporting data compliance but seek better pre-built rules, services, and improved connectivity, especially with platforms like Salesforce. Licensing, cost, and added AI functionalities are areas for potential refinement.
What are the key features of IDMC?IDMC is implemented across industries for data integration, metadata management, and governance. Organizations use it to connect systems, migrate data to cloud environments, and maintain data quality. They manage master data and automate business processes, facilitating data lineage and ensuring compliance with privacy regulations.
Qlik Sense is a powerful business intelligence tool that offers a range of features to help organizations make faster and more informed decisions. Its primary use cases include operational and financial dashboards, self-service reporting, and centralized access to cross-functional reports. The solution is praised for its mobile platform, ease of use, data-sharing capabilities, and extensibility.
Qlik Sense has helped organizations improve data literacy, reduce time consumed in complex reports, and provide widely available MI to senior stakeholders. It also enables self-service analytics, improves data quality and governance, enhances collaboration, and reduces costs.
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