Amazon CloudSearch vs. Inbenta Enterprise Search

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

If you are looking for an enterprise search platform that offers an easy to use interface and if high performance is not really your priority, then I believe Inbenta Enterprise Search would fit your use case. For most other situations, I would recommend using a tried and tested search platform like Apache Solr.

Incentivized

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

Incentivized

• Fairly easy to use interface.
• Quick to onboard new users, both in terms of access as well as training.
• The NLP-based semantic search feature is quite impressive.

Incentivized

• 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

• It is a fairly new tool in the market, so not much market feedback exists for this. This made us apprehensive in using it.
• The documentation and online forums are bare minimum.
• Quite buggy when working with multiple sources.

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

Apache Solr to Inbenta is like Java to Python. Apache Solr is powerful and handles complex search platforms well. Inbenta, on the other hand, is meant to be easy to use and does not lay too much emphasis on performance. If you are a small or medium business, Inbenta may suit your needs better. However, if you wish to manage a large and complex search platform, Solr is the way to go.

Incentivized

• 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

• Enabled our developers to quickly deploy changes to the search model.
• NLP-powered semantic search feedback provides good actionable insights.

Incentivized