AddSearch vs. Amazon Elasticsearch Service

We're very happy with the search results, and even better, the ability to impact the actual results with their weighting and priority tools. The integration was easy enough, but the expectations during the sales process was that the AddSearch team would handle more of the implementation. At the end of the day this wasn't a huge deal due to our internal engineering team, but is a caveat for others. We're happy to see continued development of the product and the infusion of AI in the feature set.

Incentivized

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

• Ease of use for admin
• Ability to impact results
• Integration within your own site
• Data
• Product improvements

Incentivized

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

• Data exports
• Onboarding and expectation setting

Incentivized

• Understanding how stale the data is and what data needs refreshed

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

AddSearch was not as customizable as the other solutions we looked at, but it was also seemed to be the easiest to integrate. Ultimately, the integration time took longer than expected, but was still relatively easy. The interface was an easier to use interface than the competitors we looked at. Price was also a factor as AddSearch was a lower cost.

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

• Our search results have significantly improved and increased click through rate by 15% just in the first two weeks
• We had no ability to tweak results with our previous solution and now we do. We've gone from 0 to 100 with the ability on that.

Incentivized

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

Incentivized