Amazon Elasticsearch Service vs. Lucidworks Fusion

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

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

• Fast Index based search.
• Scalable.
• Best for structured and unstructured data.

• 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

• Really satisfied with this service from Amazon.

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.

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

• Elasticsearch has allowed us to spend more time on building features and less time on optimizing search queries

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.