Elasticsearch for Data Science just got way easier

Elasticsearch is a feature-rich, open-source search-engine built on top of Apache Lucene, one of the most important full-text search engines on the market. Elasticsearch is best known for the expansive and versatile REST API experience it provides, including efficient wrappers for full-text search, sorting and aggregation tasks, making it a lot easier to implement such capabilities in existing backends without the need for complex re-engineering. Ever since its introduction in 2010, Elasticsearch gained a lot of traction in the software engineering domain and by 2016 it became the most popular enterprise search-engine software stack according to DBMS knowledge base DB-engines, surpassing the industry-standard Apache Solr (which is also built on top of Lucene). One of the things that makes Elasticsearch so popular is the ecosystem it generated. Engineers across the world developed open-source Elasticsearch integrations and extensions, and many of these projects were absorbed by Elastic (the company behind the Elasticsearch project) as part of their stack.