This is the goal of every search application - and that can be a challenge. That's why we built Fusion.
Easily add new collections, shards, and clusters and monitor status of your apps – even across hundreds of nodes.
Fusion quickly indexes data from any source including databases, websites, network drives, the cloud, log files, Hadoop clusters, and more.
Fusion's built in relevancy tools provide highly contextual results for every query. Give your users the most relevant results with advanced machine learning and signal processing.
Fusion includes sophisticated real-time analytics for logs and other data streams with customizable dashboards, notifications, and alerts.
Fusion is built with open core, open source Apache Solr, the most powerful search technology in the world. Solr easily scales to billions of documents with sub-second index and query response times. Fine-grained security ensures data is safe and secure from collection to query. Integration with Apache Spark provides instant data retrieval and analysis.
"With Lucidworks and Solr, we are able to get the most out of our Hadoop investment. Both candidates and recruiters use our search applications to find the right match aligned to their specific needs. Lucidworks has transformed the way we use search across the organization to ensure every customer's success."
Fusion provides the enterprise-grade capabilities needed to design, develop, and deploy powerful search apps at any scale—all built on the power of open core, open source Apache Solr. Fusion works as a standalone search platform or as an extension of your existing Solr implementation.
— No One. Ever.
Fusion comes with dozens of connectors to make it easy to index your data wherever it lives.
Native Amazon AWS S3 buckets
Block Amazon S3 buckets (Hadoop over Amazon)
Retrieve Binary large Objects stored in Windows Azure Blobs
Box.com cloud based data repository
Use Couchbase's XDCR (Cross Datacenter Replication) to retrieve data stored in Couchbase continuously in real-time
Dropbox cloud based data repository
Retrieve data from a Drupal website
Fetch content from an FTP site
GitHub source repository
Google Drive cloud based data repository
Index documents on a Hadoop File System
Allows for custom content retrieval from filesystems and websites
Retrieve content from a relational databases (Eg: Oracle, MySQL, Postgres) via SQL queries
Altassian's Issue and Software Tracking system
Retrieve discussions, polls, documents (blog posts and wiki pages) etc from Jive
Traverse local Unix file directories
Logs and event streams from Logstash instances
Retrieve content from the document oriented NoSQL MongoDB
Salesforce repostory content via the Salesforce REST-API
Microsoft Sharepoint 2010 & 2013
Retrieve messages, threads etc from the Slack messaging service
Crawl documents from an external Solr instance or SolrCloud cluster
Index SolrXML formatted content
Access Subversion source repositories
Search query and stream connectors
Windows Share, Server Message Block (SMB), Common Internet File System (CIFS)
Amplify your Hadoop investment with real-time data accessibility and deep analytic capabilities. Learn more.
Silk transforms data into visualizations and dashboards that are easily shared across the organization. Learn more.
Maximize Splunk by searching content trapped in documents and e-mails—all directly in the Splunk UI. Learn more.
Connect your Couchbase instance to Solr to analyze massive amounts of data and build rich applications. Learn more.
Bring the power of Solr to the Hortonworks Data Platform. Learn more.