Open Source Search Andreas Pesenhofer (max.recall, Austria) Helmut Berger (max.recall, Austria Open source search technologies receive more and more attention for a growing range of applications. While initially being developed for the sole purpose of search, they are increasingly being used to power analytics applications with the purpose of performing complex operations on large amounts of complex data. With the ever-increasing amount of data being available on many levels (e.g. personal, team- or company-wide, or global), search often is the only way to get access to the information actually needed. Given the value of this information, the more important it is to have full control over how it is indexed, a fundamental property open source search technologies are able to provide in contrast to many proprietary solutions. This presentation provides an overview of what can be done with Lucene and Lucene-based search engines like Solr and - recently receiving more attention in the light of cloud-based scale-out solutions - ElasticSearch. These open source projects have reached a state of maturity and commercial support that enabled them to compete with and already replace proprietary solutions of established vendors.