Amazon QuickSight pros and cons

From an analytics perspective, it's really good for self-service analytics.

The most valuable feature of Amazon QuickSight is its connectivity with other Amazon services.

The ease with which it integrates with different data sources is most valuable. Especially when everything is on AWS, it is easy to connect to the data source and organize different dashboards.

The most valuable feature of this solution is the user interface.

Amazon QuickSight can provide insights from the available data. It supports various rule types. We get the options of machine learning and insights, which are not available in other intelligence tools. It is easier to use, more stable, and cheaper than other solutions.

One of the most valuable features of Amazon QuickSight has been the speed at which visualizations can be created.

The query and dashboard capabilities are entirely good.

You can't tell a data story as well in QuickSight as you can on others, especially in TIBCO Spotfire.

Amazon QuickSight has minimal features. The feature set can be improved to allow you to create good production-ready dashboards. This does not happen with QuickSite, it needs to mature to be used in production.

It should support integration with Python or R.

There could be an end-to-end pipeline for data cleaning as well as presenting it using different visualizations.

It is a simple tool with limited features. Its visualization set is very limited, and it also has limited functionality. An intelligence tool should not be only for creating reports. Currently, we have to do all computational and mathematical operations outside. We should be able to do such operations in an intelligence tool like this. As an intelligence tool, it should support dynamic refresh. QuickSight currently supports the refresh at a minimum of one hour, and it is not suitable for dynamic dashboards that require frequent refreshes.

There is room for improvement in terms of the number of visualizations and dashboards that are available.

There should be better connectors for different data sets.