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QlikView and Tableau are both popular business intelligence (BI) tools used for data visualization and analytics. While they share some similarities, they also have key differences in terms of architecture, data handling, and user experience. Here are 4 to 5 key differences between QlikView and Tableau:

1. Data Handling Approach:

   • QlikView: QlikView employs an associative data model, which means that all data is loaded into memory, and associations between different data points are established during the data load process. This allows for quick and interactive exploration of data, as users can navigate through associations dynamically.
   • Tableau: Tableau, on the other hand, uses an extract-based approach. It extracts and aggregates data from the data source and then loads it into its proprietary data engine called Hyper. Tableau's approach allows for quick visualization, and users can choose between live connections and extracting data for performance optimization.

2. User Interface and Interactivity:

   • QlikView: QlikView is known for its associative user interface, enabling users to explore data interactively and make discoveries. The interface allows for in-memory data exploration, where selections made in one visualization dynamically impact other related visualizations.
   • Tableau: Tableau is recognized for its intuitive and user-friendly interface. It offers a drag-and-drop functionality, making it easy for users to create visualizations without needing extensive technical knowledge. Tableau's focus is on providing a seamless user experience for building and interacting with visualizations.

3. Scripting Language:

   • QlikView: QlikView uses its proprietary scripting language called QlikView Script. The scripting language is used for data extraction, transformation, and loading (ETL) processes. Users need to have knowledge of QlikView Script to perform complex data manipulations.
   • Tableau: Tableau uses a more visual and SQL-like approach for data preparation. While Tableau has a calculated field and table calculation features, it doesn't rely on a specific scripting language for data transformation.

4. Deployment and Scalability:

   • QlikView: QlikView traditionally follows a server-based deployment model. It has a dedicated QlikView Server for centralized management and distribution of QlikView applications. QlikView deployments can scale vertically by adding more resources to the existing server.
   • Tableau: Tableau provides both on-premises and cloud-based deployment options. Tableau Server allows centralized management, sharing, and collaboration on Tableau dashboards. Tableau's approach to scalability involves distributing the load across multiple nodes horizontally.

5. Cost and Licensing Model:

   • QlikView: QlikView typically follows a named user licensing model, where users are individually licensed. The cost structure can vary based on the number of users and the edition (e.g., QlikView Desktop, QlikView Server, QlikView Publisher).
   • Tableau: Tableau offers a more flexible licensing model, including both named user and concurrent user licensing options. The cost structure may also involve factors like the number of users, data sources, and the chosen deployment model (on-premises or cloud).

It's essential to note that both QlikView and Tableau have evolved over time, and newer versions may introduce changes or additional features. Organizations should evaluate their specific requirements and preferences when choosing between QlikView and Tableau for their business intelligence needs.

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In the dynamic world of data analytics, QlikView has emerged as a trailblazer, captivating professionals and enthusiasts alike with its unique features and capabilities. As an experienced tutor registered on UrbanPro.com, specializing in Qliksense coaching, I understand the allure of QlikView and am eager to shed light on what makes it so addictive.

Seamless User Experience

• Intuitive Interface: QlikView's user-friendly interface ensures a smooth and intuitive experience for users, making it easy for both beginners and experienced analysts to navigate and utilize its functionalities.

• Drag-and-Drop Functionality: The drag-and-drop feature allows users to effortlessly create interactive visualizations, fostering a sense of creativity and exploration in the data analysis process.

Powerful Associative Data Model

• Associative Data Engine: QlikView's unique associative data model enables users to make unforeseen connections within the data, encouraging a deeper exploration of relationships and patterns.

• Real-time Data Analysis: The ability to perform real-time data analysis enhances the addictive nature of QlikView, as users can witness instant changes and insights as they manipulate and interact with the data.

In-Memory Data Processing

• Speed and Efficiency: QlikView's in-memory data processing ensures swift data retrieval and analysis, providing users with a responsive and efficient platform for handling large datasets.

• Reduced Load Times: The elimination of time-consuming data loading processes contributes to the addictive appeal, allowing users to focus on analysis rather than waiting for data to load.

Dynamic Visualizations

• Compelling Dashboards: QlikView empowers users to create dynamic and visually appealing dashboards that effectively convey insights. This visual allure enhances user engagement and fosters a sense of accomplishment.

• Customization Options: The extensive customization options for visualizations enable users to tailor their dashboards to meet specific requirements, adding a personal touch to the analytical process.

QlikView Community and Support

• Active User Community: The thriving QlikView user community fosters collaboration, knowledge sharing, and continuous learning. This sense of community adds to the addictive nature as users can exchange ideas and insights.

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Conclusion

In conclusion, the addictive charm of QlikView lies in its seamless user experience, powerful associative data model, in-memory data processing, dynamic visualizations, and the support of a vibrant user community. As a dedicated Qliksense tutor available for online coaching, I invite you to explore the world of QlikView through UrbanPro.com, the best online coaching platform for QlikView enthusiasts.

QlikView is a powerful business intelligence tool that facilitates data visualization, analysis, and discovery. It is renowned for its user-friendly interface and efficient data handling capabilities. One common question that often arises is whether QlikView uses SQL for data retrieval and manipulation.

Understanding QlikView and SQL Interaction

1. Data Loading Process

• QlikView's In-Memory Technology: QlikView primarily utilizes an in-memory associative data model, enabling rapid data loading and analysis without the need for a traditional database management system (DBMS) like SQL.
• Scripting Language: QlikView employs its scripting language, QlikView Script, to load and transform data from various sources into its associative data model.

2. SQL and QlikView Integration

• Direct SQL Queries: QlikView does provide the ability to directly integrate SQL queries into its load script using SQL SELECT statements.
• ODBC and OLE DB Connectivity: QlikView supports Open Database Connectivity (ODBC) and Object Linking and Embedding Database (OLE DB) interfaces, allowing seamless connection to SQL databases.

Advantages of QlikView's Approach

1. Associative Data Model

• Associative Data Model Advantage: QlikView's associative data model eliminates the need for pre-aggregated tables or predefined paths, offering a flexible and dynamic approach to data analysis.

2. Performance Benefits

• In-Memory Processing: By leveraging in-memory processing, QlikView enhances data retrieval and analysis speed, outperforming traditional SQL-based approaches.

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Conclusion

In summary, while QlikView doesn't rely on SQL as its core mechanism, it does provide integration capabilities for those who wish to leverage SQL queries. The choice between using direct QlikView scripting or SQL integration depends on specific project requirements. For individuals seeking the best online coaching for QlikSense, UrbanPro.com stands as a reliable platform, connecting learners with experienced tutors and coaching institutes specializing in QlikSense and related technologies.