Page "Proposals/BEP-0014" was changed by antonia.horincar
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 == Abstract #abstract
 
-The Bloodhound Search plugins supports different search backends, but only 
Woosh has been implemented so far[1]. Even though Whoosh (Python implemented 
search backend [2]) is a great solution for a small amount of data, it doesn’t 
provide scalability when it comes to dealing to a higher amount of items to 
search. Apache Solr is a search platform focused on delivering enterprise 
class, high performance search functionality[3]. Solr is written in Java and 
runs as a standalone full-text search server within a servlet container such as 
Apache Tomcat or Jetty. Solr uses the Lucene Java search library at its core 
for full-text indexing and search, and has REST-like HTTP/XML and JSON APIs 
that make it usable for most popular programming languages[4]. It provides 
great scalability, and great performance under heavy usage, being a great tool 
for services having a high number of users, and high amount of data.
+Built on top of Trac, Apache Bloodhound is a software project management 
application recently released on the market. The main features of the 
application include multiple projects management, ease of installation and a 
user-friendly interface. It reduces the effort of tracking projects by 
providing a clean interface to connect revision control with wiki content and a 
bug database. 
+
+The Bloodhound Search plugins supports different search backends, but only 
Woosh has been implemented so far. Even though Whoosh (Python implemented 
search backend [1]) is a great solution for a small amount of data, it doesn’t 
provide scalability when it comes to dealing to a higher amount of items to 
search. Apache Solr is a search platform focused on delivering enterprise 
class, high performance search functionality [2]. Solr is written in Java and 
runs as a standalone full-text search server within a servlet container such as 
Apache Tomcat or Jetty. Solr uses the Lucene Java search library at its core 
for full-text indexing and search, and has REST-like HTTP/XML and JSON APIs 
that make it usable for most popular programming languages [3]. It provides 
great scalability, and great performance under heavy usage, being a great tool 
for services having a high number of users, and high amount of data.
 
 == Rationale #rationale
 
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