AddSearch vs. Apache Solr

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

Very effective for end-user searching applications and for generating search results. Also very well suited to those looking for high reliability and performance. If [you're doing] fuzzy searching or if you are working on a smaller end-user application or an internal application that does not require high performance and flexible/adapting searching then it may not be necessary to use Solr.

Incentivized

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

Incentivized

• Faceted navigation and field collapsing/grouping : filtering and quick results were what we needed for our websites. Our customers needed to have this functionalities for good and efficient results.
• We tested them with our customers' registered searches (they received all new goods matching with their registered searches by emails and/or mobile push). Results were incredible by comparison with our old system (old MySQL requests).
• Note : we didn't put all our data in Solr. Just what we need for searching uses. Other data stayed in our MySQL database.
• Auto-suggest : our old auto-suggest wasn't performing well. With Apache Solr, our new one was worked really well ! The suggestions came quickly and suggestions were good.
• We also extended auto-suggestion with geo-spatial data and it worked well.
• Hit highlighting : we used this functionality and we didn't have problem and nasty surprise.
• Keep all data status during data upgrading (see next details for improvements)

• Data exports
• Onboarding and expectation setting

Incentivized

• Ease of use -- this is not always the easier platform to configure.
• Developer Community -- There are not a whole lot of folks out there that understand this stuff so finding talent is difficult.
• Drupal 8 -- We've been frustrated with slow development on APIs for Drupal 8 integration.

Incentivized

It takes some time to deploy and currectly maintein it. And also, to learn how to use and integrate in the enviroment as well. Once you get theses steps done, it usability is very simple, and almost of the time it don't require no further attention on it. Even for maintence, if you deploy it on a cluster mode, it is very reliable and easy to take one host down.

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

We switched from search indexes stored in MySQL to soar and it's made a world of difference for our growing businesses. The relational databases are very poor for handling the complex data searches require and Solr delivered all the tools we need to get the performance our end users are demanding.

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

• It's enabled us to deliver fast, relevant search results on our new website. The site is still in beta and being actively developed so our complete ROI is still unknown.
• It integrates very well with Drupal so it has saved us from having to develop a custom solution.

Incentivized