Amazon Elasticsearch Service vs. Klevu

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

I think Klevu is a great solution for brands looking to enhance their website. They have templates that may work for brands that don't have a tech team. Their product offering can also be fully customizable but this would require some development work on the brand end. Overall, would recommend them!

Incentivized

• Search
• Query language
• light-weight

Incentivized

• Great customer success team
• Always sharing with us their latest product offering
• Their technical support team is very helpful and willing to hop on calls with us

Incentivized

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

• I think you definitely need someone technical in house to help assist and customize
• They're pretty stern on pricing

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

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

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

Incentivized

• Seeing a 2x increase in conversion rate

Incentivized