Amazon CloudSearch vs. Amazon Elasticsearch Service vs. Glean

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.

Incentivized

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.

Incentivized

When I am interviewing candidates and they start asking specific questions that I dont know the answer to, I use Glean chat to quickly find answers. It helps save time because I can really quickly find the answers to anything. I think if leaders care about their employers, they would get Glean!

Incentivized

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

Incentivized

• Search
• Query language
• light-weight

Incentivized

• Single search capability across all systems
• High accuracy of search results
• Saves you time in day to day work
• Offers customization with the homepage and go links

Incentivized

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

Incentivized

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

• The AI Chat can definitely improve. I will ask it questions about our sales process and it should be referencing documents that I know are in our company Glean, but it will give me the wrong answer.

Incentivized

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

Incentivized

I give it a 5 because of the chat not giving accurate answers and also sometimes I will search for documents that I know used to be in Guru before we had it but now it is no longer in Glean

Incentivized

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.

Incentivized

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

Incentivized

Personally I am not from the evaluation team but I feel ChatGPT , Gemini are good as well.

Incentivized

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

Incentivized

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

Incentivized

• Quickly able to find answers for customers allowing me to be more proactive with them
• allows me to quickly access info for all follow up emails for customers

Incentivized