Projects like Apache Solr have long been known as a traditional search engine operating on top of relational databases and frameworks like Hadoop, but in recent years Solr’s role as a standalone NoSQL store has been taking off. For organizations serving up hundreds of millions – sometimes billions – of requests per day, the scalability and stability of Solr is increasingly attractive for not only the retrieval but also the storage of data in high volumes.
In this session, Will Hayes will share how businesses across industries – from large publishers to major cloud providers to financial institutions – are turning to search as a primary data store, along with best practices that organizations looking to make the transition can employ today. Hayes will examine projects like Apache Solr and its evolution from a simple knowledge base to a comprehensive data service, as well as the advantages of treating it as such.
