Why is Tableau so slow? How can I make it faster?
In the data visualization field, Tableau is the leading platform used by several data experts. It makes data visualization so powerful and easy to understand for everyone, including the non-technical background people. It provides more formulas, fields, calculations, and simple visualization tools and methods to provide an intuitive user interface. However, many people face a problem once they start applying the more features of Tableau. We are at a faster pace world where even a millisecond matters a lot, and the delay by some seconds can cause the loss of audience. So, the performance of your Tableau matters a lot. But how can anyone make Tableau run faster and provide the results instantly? In this article, we are listing out the common things which slow down the performance and the solution for the same.
The data strategy affects performance.
The data strategy, such as live data or extracted data, decides the performance speed. Generally, working with extracted information is much faster than the live data. The extracted data is excellent for prototyping works. Also, the more comprehensive your data source and data set, you can expect the more delay in the execution time. Hence, deciding the best way for data analysis (live or extract based) is critical for increasing performance.
You can enhance the performance by minimizing the number of fields used in your dashboard. To achieve the greater execution speed, you need to do the ‘Hide All Unsued Fields’ option to remove all unused columns from the data source. You can get to know all the useful techniques and features by enrolling in the best tableau training classes. By using the extract filters, you can keep only the data you need. However, the extracts are not the long term solution since the extracts are not real-time data.
Decrease the data points in your view
The more marks are bound to create more batches, making the processing speed slow. Excessive marks also reduce the visual analytics value of your dashboard. You can eliminate these issues by practicing guided analysis and deleting unnecessary detail shelf.
materialize and optimize calculations
Wherever possible, you need to perform the calculations in the database to increase the execution speed. Aggregate calculations do wonder for calculated fields. Also, performing low-level calculations in the database helps to achieve your goal. If you use more marks in your view, the execution takes more time. The calculations using the MIN or MAX functions help quicken the processing time rather than using the AVG function and making the groups with calculations also a better way to increase the speed. Another great tip to remember is the more you use numeric or booleans calculations instead of string calculations, the your dashboards take less time. If you choose the best tableau training classes online, you can know more about all these things.
Limit your filters
Filters feature is the powerful and expressive feature of Tableau. But the same can cause performance issues if it is used excessively and inefficiently. This is the primary cause of your dashboard’s slowness. Hence, you can minimize the number of filter usage from your dashboard. Go through all of your filters and remove the excess filters for better performance results. Also, if you use exclude filters, they load the whole domain of a dimension. You can get rid of this issue by using the include filter. To take advantage of indexing properties, you need to use the continuous date filter.
Use query optimization
If you use more members in your blend, it takes a longer time to execute any operation. Similarly, the usage of lots of joints takes more time and affects the performance of your dashboards. Hence, minimize the joints and see the excellent performance. If your data connection uses custom SQL, the execution of any process takes more time. So, you can eliminate custom SQL and take advantage of Tableau’s database optimizations.
The multiple numbers of worksheets on your dashboard lower your Tableau performance in a big way. So, make sure to use fewer worksheets in your dashboards. You can consolidate or delete the unnecessary and unused worksheets and data sources to improve its performance. Always remember a clean workbook is easier to work, and it provides the results instantly.
Using tableau in a real and professional and midsize heavy data. Tableau Performance is too bad.. to much Hype for this data visualization toys
I definitely agree, Not suited for big data or big organisations. They have to improve the robustness of the tool ASAP.