Migration from FAST ESP to Lucene Solr

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Michael McIntosh, Vice President of Enterprise Search Technologies at TNR, spoke at the Lucene Revolution conference in Boston, MA October 7-8, 2010. Michael reviewed the migration from Fast ESP to Lucene/Solr open source search. He discussed approaches to identifying core content areas of HTML documents such as Text-To-Tag Ratio Heuristics and Page Stereotype/Site Template Analysis, and reviewed specific use cases that we have encountered as search integration experts and discuss available tools.

TNR Global was a sponsor of Lucene Revolution. The conference gathered over 400 professionals from the enterprise search industry. We were happy to see so much interest in Lucene/Solr open source search, and get to know and learn from the folks who have done large scale implementations, including Twitter, LinkedIn, and eHarmony.  Not surprisingly, there was a lot of interest about migration from proprietory search systems to Solr, especially from FAST ESP due to Microsoft’s discontinuing FAST ESP support for Linux.  If you would like to learn more about how a migration from FAST ESP to Lucene Solr can benefit your company, contact us for a free consultation.

From Microsoft FAST to Lucene/Solr – Barcelona

Fast_ESP_to_Lucene_SolrTNR Global presented at the Apache Lucene Eurocon in Barcelona, Spain. Michael McIntosh, VP of Enterprise Search Technologies, spoke on the migration from Microsoft FAST ESP to Lucene/Solr open source search.

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Migration from Microsoft FAST to Apache Lucene Solr

Our White Paper on Microsoft FAST ESP to Lucene/Solr will be released in January, 2012.  To receive your free White Paper, email contact information to fast2solr@tnrglobal.com or subscribe here to receive the White Paper and our newsletter on FAST to Lucene Solr Migration.

Lucene Solr

solr_FC1Solr is an open source high performance, scalable, cross-platform search engine. Solr has features which were once only found in commercial offerings.


We work with Lucene Solr, a Java-based open source search library, to power search for web sites.

  • Automatic replication for large installations with distributed search
  • Java-API (SolrJ)
  • Conversion of Office-documents
  • Full faceted search
  • Advanced tokenization, highlighting and stemming


With open source solutions, there are no licensing fees, and the technology can be customized to meet your specific needs. Solr powers search for large commercial organizations including sites at eBay, MTV Networks, Netflix, CNET, and Zappos.

We leverage the power of Lucene Solr combined with the latest content enhancement approaches to provide more diversified search service offerings for clients.

Years of hands-on experience gives us an advantage; we understand  the subtle nuances of the data.