Differences between Tableau and Qlikview

Tableau vs QlikView: A Comparison of Popular Business Intelligence Tools

Business intelligence (BI) tools are essential for organizations looking to make data-driven decisions. Two of the most popular BI platforms are Tableau and QlikView, both of which offer a wide range of features for data visualization, analysis, and reporting.

Tableau

Tableau is a data visualization and business intelligence tool that allows users to create interactive charts, maps, and dashboards. It helps organizations make data-driven decisions by providing them with the ability to easily explore and analyze large amounts of data.

Benefits of Tableau include:

• User-friendly interface and drag-and-drop functionality, making it easy for non-technical users to create and share visualizations.
• Connectivity to a wide variety of data sources, including databases, spreadsheets, and cloud-based services.
• Customizable visualizations, including charts, maps, and dashboards.
• Robust scalability options for handling large amounts of data.
• Suitable for large enterprises with complex data needs.
• Subscription-based pricing with options available for a wide range of customers.

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QlikView

QlikView is a business intelligence and data visualization tool that allows users to create interactive dashboards and charts. It uses an “Associative Model” which enables users to easily explore and analyze data relationships.

Benefits of QlikView include:

• Interactive “Associative Model” that allows users to easily explore and analyze data relationships.
• Connectivity to a wide range of data sources, including databases, spreadsheets, and cloud-based services.
• A variety of visualizations, including charts, maps, and dashboards.
• Ability to combine multiple data sources into a single app.
• Suitable for large organizations.
• Subscription-based pricing with options available for a wide range of customers, including a free version for small businesses.
• Easy to use for non-technical users.

However, there are some key differences between the two that may make one more suitable for your organization than the other.

Ease of Use

Tableau is known for its user-friendly interface and drag-and-drop functionality, making it easy for non-technical users to create and share interactive visualizations. QlikView, on the other hand, has a more complex interface that may require a steeper learning curve for new users.

Data Connectivity

Tableau allows users to connect to a wide variety of data sources, including databases, spreadsheets, and cloud-based services. QlikView also supports a wide range of data sources, but it also has the added benefit of allowing users to combine multiple data sources into a single app.

Data Visualization Tableau offers a wide range of customizable visualizations, including charts, maps, and dashboards. QlikView also has a variety of visualizations, but it is particularly known for its interactive “Associative Model” which allows users to easily explore and analyze data relationships.

Scalability

Tableau is a popular choice for large enterprises with complex data needs, and it offers robust scalability options for handling large amounts of data. QlikView is also a viable option for large organizations, but it may not have the same level of scalability as Tableau.

Pricing Tableau is a subscription-based service, with pricing based on the number of users and the level of service required. QlikView is also a subscription-based service, but it offers a variety of pricing options, including a free version for small businesses.

In conclusion, Tableau and QlikView are both powerful BI tools, but they have distinct differences that make them suitable for different types of organizations. Tableau is a great choice for organizations that need a user-friendly interface, robust scalability, and a wide range of data visualization options. QlikView, on the other hand, is a great choice for organizations that need to combine multiple data sources and explore data relationships. Ultimately, the best BI tool for your organization will depend on your specific data needs and business goals.