Data warehouse. Data lake. ETL. Analytics. Business Intelligence. All these terms have long been associated with both relational and NoSQL databases, but rarely with search indexes. Modern search engines, however, check many of the same boxes when it comes to deriving value from data in the modern era and clearly outshine relational and NoSQL systems in several key areas. In this talk we’ll examine the mapping of search engine capabilities onto modern data warehousing and data lake needs and weigh the pros and cons of such an approach by looking at use cases and capabilities of open source engines like Apache Solr and Elasticsearch.