What are the key 4 to 5 differences between QlikView and Tableau?

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.