Amazon CloudSearch vs. OpenSearch

I would like to mentioned about the scenario where Amazon cloud search was well suited is when we need regular updation of data and the subject matter requires continuous alterations due to the continuous changing environment and talking abut the least appropriate would the times when their is high level of customisation requirements in the project.

Incentivized

OpenSearch Service presents a cost-effective pricing model, allowing users to pay solely for their usage without being burdened by minimum fees or upfront commitments. Its seamless integration with various AWS services enhances its adaptability for a wide range of data analysis requirements and also I love using it isn't it enough.

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

Incentivized

• Gives us millisecond response times
• Mainly open-source
• Integration Seamlessly with AWS
• Has a very big community so problems are fixes sooner then later

• First thing I would like to mentioned about its indexing speed, I have noticed while working with large sums of data
• Second I would like to mentioned about customisation challenge, although it is also its pros but a con as well, as it is a tedious task to customise when time value comes place as well.
• Thirdly, I do feel that its advanced search queries could be more supported. I have seen some level of lagging when it comes to more advanced search queries given the size of data.

Incentivized

• Needs more descriptive documentation
• The UI feels a bit old
• Some functionality still doesn't work correctly

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

Well as I said, Elastic is behind paywall now and managing OpenSearch through AWS is so seamless that we just love it. It gets updates faster we don't have to manage separate infra and many other settings to work with elastic search and some of the tools that it provides are better then them.

• It has directly or indirectly improved the operational effiecncy for sure.
• Its limitations towards limited customisation requirements makes it a bit negative side of the scenario.
• Its scalability of the growth offers seamless accommodation of large data sets which is a positive impact although.

Incentivized

• Well we had 200 ms response times which decreased to 100ms while using OpenSearch
• Easy to use security plugins we dont need external IAM
• Super Easy Integration with many AWS Services such as kinsesi data stream and dynamoDB