Amazon CloudSearch vs. Lucidworks Fusion

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

Very well suited for out of the box enterprise search applications.

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

Incentivized

• Signals feature to boost search results helps search relevancy
• Business Rules feature for tuning search results
• Query pipeline design gives great flexibility in application development

• 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

• Documentation can be improved

It is incredibly intuitive and so easy to use that business people can now complete functions that used to be limited to software developers only.

It has continued to improve over the years.

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

IDOL seems to be a blackbox solution. Fusion is much more flexible with more features and options for developers to choose from.

• 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

• Allowed us to move software developers from enterprise search to other customer focused applications due to built in signals processing and related popularity boosting out of the box.
• Enabled business experts to work directly with Fusion to influence search results and not be so dependent on developers.