Nuxeo, a content repository provider, has integrated Elasticsearch to enhance the search capabilities and performance of its platform. Initially, Nuxeo faced challenges with Apache Lucene and a hybrid system involving Python/Zope, which led to limitations in handling complex queries and scalability issues. Transitioning to a Java-based platform, Nuxeo adopted Elasticsearch to address these limitations, offering a hybrid storage solution where SQL handles the primary index while Elasticsearch provides an asynchronous, full-featured index. This integration allows queries to be executed efficiently, depending on the configuration, and significantly improves performance, as demonstrated by benchmarks showing increased throughput and reduced response times. Elasticsearch's integration has also introduced additional features like faceted search, advanced indexing, and an audit trail, enabling real-time data analytics and configurable dashboards. Future plans include upgrading to Elasticsearch 2.0, enhancing security features, and leveraging new Elasticsearch functionalities to further improve the platform's capabilities.