Elasticsearch

devops

This item was not updated in last three versions of the Radar. Should it have appeared in one of the more recent editions, there is a good chance it remains pertinent. However, if the item dates back further, its relevance may have diminished and our current evaluation could vary. Regrettably, our capacity to consistently revisit items from past Radar editions is limited.

Mar 2022

Adopt

We are continuing to use Elasticsearch successfully in Searchperience® and have benefited from the aggregation features for related use cases such as rendering category trees. We also use Elasticsearch as a persistence solution for various microservices.

This is why we have updated its status to adopt.

Mar 2017

Trial

Elasticsearch is a REST-based search and analytics engine based on Lucene. Unlike its competitor Apache Solr, it was developed from the beginning with clustering and scaling in mind. It allows you to create complex queries while still delivering results very quickly.

At AOE, we use Elasticsearch for logging as well as our own search solution, Searchperience®. We recently moved the Searchperience stack from Solr to Elasticsearch and believe this was the right decision. Especially in terms of scaling, ease of use, and performance, Elasticsearch really shines. Additionally, the API design incorporates learnings from Apache Solr - for example, the queryDSL is a powerful way of describing different search use cases with highly flexible support for aggregations, etc.