It all depends on the use case and what the user wants to achieve. There are multiple solutions available, even within AWS. It depends on the specific use case and how the end customer is going to utilize it. Kendra gives you the flexibility and capability to search intelligently, which is its strength. However, in the broader context, it depends on various factors. If we focus on the search part, I would rate it around eight out of ten. There are certain limitations in Kendra.
This is a really, really expensive solution making the adoption of it very difficult at the enterprise level. I would rate this solution a seven out of 10, mainly due to the high cost.
Search as a Service enhances how users interact with data by providing robust search capabilities, making information retrieval more efficient and accurate.
Search as a Service leverages advanced algorithms and machine learning to provide fast, relevant search results. It integrates seamlessly with diverse platforms, supporting scalable, real-time data retrieval. Organizations benefit by reducing time spent on locating information and increasing productivity.
What are the...
It all depends on the use case and what the user wants to achieve. There are multiple solutions available, even within AWS. It depends on the specific use case and how the end customer is going to utilize it. Kendra gives you the flexibility and capability to search intelligently, which is its strength. However, in the broader context, it depends on various factors. If we focus on the search part, I would rate it around eight out of ten. There are certain limitations in Kendra.
This is a really, really expensive solution making the adoption of it very difficult at the enterprise level. I would rate this solution a seven out of 10, mainly due to the high cost.