May 08, 2015
If you want real world proof. Have a bake off or POC with a real world set of criteria: 4 or more data sources, 100M or more records and mobile, etc. You'll be glad that you did!
QlikView and Tableau compete in the Business Intelligence (BI) category. While QlikView excels with its associative model and data exploration features, Tableau holds the upper hand in data visualization and user-friendliness.
Features: QlikView offers a comprehensive BI solution with an associative model that helps users easily explore data relationships. It has strong scripting capabilities and adaptability, allowing for effective data manipulation. QlikView is also known for its powerful data search features. Tableau shines in data visualization with drag-and-drop functionalities, providing an easy-to-use interface. It allows rapid report generation and supports sophisticated visual analytics, supported by its wide range of chart types and interactive dashboards.
Room for Improvement: QlikView lacks significant updates and falls behind in self-service and visualization abilities compared to rivals. Its mobile and web features need to be more intuitive. Tableau's ETL capabilities require enhancement, and better integration with less structured datasets is necessary. Pricing is a concern for both products; advanced features like predictive analytics could be improved in Tableau.
Ease of Deployment and Customer Service: Both QlikView and Tableau offer flexible deployment options, including on-premises and cloud solutions. While QlikView is praised for excellent technical support and community, making deployment smoother, Tableau stands out for its ease of use and setup. However, customer service quality may vary by region.
Pricing and ROI: QlikView’s pricing can be prohibitive for smaller companies, although its ROI is valued for delivering insights. Tableau also features a premium price point, but offers transparent scaling options. Both are recognized for driving ROI by promoting data-driven decision-making, with initial costs being a potential barrier for budget-conscious organizations.
The biggest return on investment is the time saving for the customer.
This saves a significant amount of time, particularly for reports that would have needed around fifty people.
The ROI of using Tableau extends to its seamless integration across various platforms, as it's from Salesforce and thus not limited to any specific cloud provider.
Tableau is saving me time, money, and resources, which I would rate as ten.
I would rate the customer support a solid 10.
I am totally satisfied with technical support from Qlik.
They provide quick email and phone responses and have Thai-speaking personnel.
There should be consistent standards for all users.
The technical support for Tableau is quite good.
If you want better performance with a larger volume of data, you can simply add an additional server.
Tableau is easy to use across various dimensions, whether on-premises or on the cloud.
The solution is fully scalable and performs well even with large datasets, provided there is proper supporting hardware.
Tableau is easy to scale.
The application hangs after continuous use due to the buildup of cache.
I rate the stability a five or six because Tableau updates very often with new versions or patches.
In QlikView, I believe the improvement that should be made is to bring the costs down, as you'll have to be competitive with Power BI, aiming for at least a 30% reduction to stop the hemorrhaging to Power BI.
It would be beneficial to have AI or ML features in QlikView.
We cannot send the entire Excel file reports via email within Tableau.
The product owner should enhance its benefits or clarify its role.
It sometimes requires extensive investigation to determine why the data does not appear correctly.
The license cost per user or per year for QlikView is about 500 Euros annually.
I would rate the pricing for QlikView as not cheap, but it is reasonable.
Power BI as a much cheaper alternative.
A license for 150 users costs around $17,000 USD per year.
Looker is known to be quite expensive.
The best features in QlikView are rapid development, the fact that I can do what I want in QlikView, and full control along with ease of use.
Building metrics using simple language, similar to what you have in Excel, is what I have found most valuable in QlikView.
A significant feature for me is the real-time connection to data sources because it effectively manages large data sets.
Tableau serves as a stable dashboarding tool for higher management, aiding in quick decision-making.
Building hyper extracts and visualization capabilities make Tableau a robust tool for data analysis.
| Product | Mindshare (%) |
|---|---|
| Tableau Enterprise | 14.1% |
| QlikView | 3.9% |
| Other | 82.0% |
| Company Size | Count |
|---|---|
| Small Business | 73 |
| Midsize Enterprise | 36 |
| Large Enterprise | 76 |
| Company Size | Count |
|---|---|
| Small Business | 117 |
| Midsize Enterprise | 67 |
| Large Enterprise | 185 |
QlikView enhances data analysis with its associative data model and rapid in-memory processing, providing dynamic dashboards and robust visualization, while efficient data integration allows connections to multiple sources.
QlikView offers powerful analytics and insight generation capabilities through its integration with Salesforce, enabling real-time sales data access. Its customizable dashboards are complemented by scripting for complex calculations and QVDs for performance optimization. Designed to be user-friendly, it supports ETL processes and diverse data browsing, allowing users to interact with data intuitively. However, there is room for improving licensing complexities, scalability, and self-service functionality. Additional enhancements are desired in visualization, integration with Qlik Sense, and predictive analytics support.
What are QlikView's key features?QlikView finds use in building business intelligence dashboards across sectors, integrating with Salesforce for analytics, supporting financial planning, and tracking sales. Its intuitive interface aids manufacturing companies in KPI monitoring and informs commercial decisions. The tool enhances reporting, ETL processes, and diverse data source integration, facilitating offline data access.
Tableau Enterprise offers powerful features for creating interactive visualizations, dashboards, and maps, including drag-and-drop functionality and easy integration with multiple data sources, promoting real-time collaboration and self-service analysis.
Tableau Enterprise stands out with its ability to create user-friendly, interactive visualizations, making it pivotal for business intelligence applications. Users benefit from its seamless connectivity and advanced analytical functions, facilitating data blending and storytelling. Despite a complex learning curve and high licensing costs, its features like geospatial analysis and efficient content distribution drive its indispensable value for data-driven insights. Enhancements in predictive analytics and support integration with machine learning tools further its capabilities across industries.
What are the most valuable features?Tableau Enterprise is widely used for business intelligence, supporting industries like healthcare, telecommunications, and finance. Organizations utilize it to analyze performance indicators, operational insights, and financial analytics, enhancing decision-making through interactive reports and real-time data integration.
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