Amazon CloudSearch vs. Amazon Elasticsearch Service vs. Amazon Kendra

Amazon Cloudsearch can be suitable for some queries that require fast data. For example, in our case, we used CloudSearch, in a tool called Global Search. That will search everything like names, emails and a lot of stuff in our application. If you want fast data and you have a simple query, Global Search isn't appropriate for you.

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Elasticsearch is a good alternative to relational databases for setting up complex searching of data. It's inbuilt features for slicing the data [in] different ways and its ability to add weights to search results makes it easy to set up complex searching scenarios. Given that data must be pushed to this service, it may be best suited for data that is not changing very rapidly.

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An intelligent search solution that makes it easy to find the information employees and customers want to know without migrating from one place to another and without wasting time with just a few clicks, Amazon Kendra connects relevant data sources through fully functional and customizable search while minimizing risks increasing workflow by obtaining detailed results.

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• Really fast queries
• Good Reporting
• Reduce the cost of the server

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• Search
• Query language
• light-weight

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• Extremely accurate.
• Easy to use and setup.
• Great search engine.
• Powerful research tool.

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• Can take some time to implement
• The initial configuration can be tricky
• Takes some time to update the values

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• It is not so simple to learn.
• Documentation is often very confusing.

• Amazon Kendra is an intelligent search service that facilitates the way we obtain information by making it easier to obtain accurate documents without wasting time, it is a software that is designed to work in an optimized way, providing a business quality service with flexible features and innumerable benefits. , it is effective and fresh.

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It is an extremely powerful tool if the time is put in to learn it. There are basic skeletons of out of the box behavior, it involves having really dedicated people to learn how to use it to take full advantage of its capabilities. A 10 for the tool itself, minus 3 for the difficulty in learning and maintenance

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I didn't investigate the best alternatives to CloudSearch, but did help with implementing this feature in our application. But from what i tested and used - Cloudsearch is very fast to get queries. Some negative points can be the time to implement this and some configurations that can be tricky.

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Splunk is the most flexible of the 3 where you can manipulate the data to whatever fits your specific use case. Grafana has the most powerful capabilities but the steepest learning curve. Grafana also does offer the most flexibility as you can visualize almost any data source. Elastic is a solid middle ground between the 2

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Amazon Kendra offers an intelligent search experience, it is a tool that facilitates the way we work by providing secure and immediate results, saves time, increases productivity and brings progress. It is the best way to get accurate answers using natural language. It is a software that works in an extraordinary way, being easy to implement, safe and effective, the experience is unique.

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• Positive Point - Reduced the server load
• Negative point - Not suitable for all queries
• Negative Point - Time to implement this feature

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• The cost is a bit expensive if compared with other clouds but [the] performance is very good.

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• Ease of use of website, converting in more sales.
• Better internal documentation, reducing emails back-and-forth.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info