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Associative Data Model: An intuitive, non-linear approach to data exploration. Any selected value instantly shows its associations with the rest of the dataset.
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In-Memory Data Storage: A high-speed engine loads data into RAM for rapid queries and smooth interactions.
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In-Memory Data Processing: Large volumes of compressed data handled in memory ensure fast performance and real-time analytics.
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Scripting for Data Transformation: A proprietary scripting language gives technical users flexibility in loading, modeling, and reshaping data from multiple sources.
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Interactive Dashboards and Visualizations: Dynamic charts, tables, and interfaces with drag-and-drop customization provide guided analytics.
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Extensions and Customization: Support for custom extensions and detailed UI control allows tailored visual components and integrations with external tools.
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Collaborative Features / Social Data Discovery: Sharing through annotations, bookmarks, and group discussions strengthens teamwork and insight exchange.
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Mobility and Scalability: Compatibility with iOS and Android through QlikView Server, plus multi-node deployment support, allows growth from single users to thousands without performance loss.
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Enterprise Platform Capabilities: A robust architecture with components such as Developer, Server, Publisher, and management consoles ensures deployment control, load balancing, and governance.
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Developer-Centric Control: Detailed layout control, document chaining, and customizable triggers appeal to developers, though casual users may find the flexibility overwhelming.
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Security and Governance: Enterprise-level security, user access management, and centralized oversight protect data integrity and ensure compliance.