The ability to create widgets through questions is innovative and makes data analysis more accessible.
The performance can be slow at times, especially with large datasets, which hampers the workflow.
It helps in visualizing data more easily, but I still find myself needing to rely on traditional tools for in-depth analysis.
I find the explainable AI feature intriguing; it helps in understanding how the analysis is derived.
It lacks advanced analytical features that I need for more complex data operations.
It provides a basic level of data analysis which is useful for quick insights, but it's not comprehensive enough for detailed reporting.
I love the security features like end-to-end encryption. It gives me peace of mind when handling sensitive data.
Sometimes, the system gets stuck when processing large files, which can be frustrating.
It simplifies data manipulation without needing extensive coding knowledge, which is a significant advantage for my team.
I appreciate the concept of simplifying data analysis with straightforward questions, as it can be beneficial for non-technical users.
The interface feels clunky and not very intuitive. I often find myself confused about how to set up the widgets properly.
It attempts to bridge the gap for users who struggle with SQL, but the execution could be better. I still face challenges when trying to analyze complex datasets.
I like the idea of using natural language to create queries, but it doesn't always work as expected.
The tool crashes frequently and doesn't seem stable enough for professional use.
It aims to make data analysis easier, but I often find myself needing to revert to Excel due to Datayaki's limitations.