>> First things first : it depends on what kind of "indexing" you're looking to >> do — I haven't worked with CouchDB (yet), but I have with MongoDB, and >> although it's a great (and fast) data store, it has a "basic" style of >> indexing as SQL databases. That is, you can do exact-match, some simple >> regex (usually left-anchored) and then of course all the power of map/reduce >> (Mongo does map/reduce as well as Couch). > > Out of curiosity, are there libraries to export records from MongoDB into > Solr?
Not that I'm aware of, though there has been a bit of discussion around people wanting to do that. My understanding, though, is that a NoSQL-Solr integration is *exactly* what ElasticSearch is designed to replace. Though Shay Banon is quick to say that ElasticSearch isn't intended to replace a NoSQL data store, many people (including myself) are wondering whether two systems are actually needed in a large number of use cases, especially if the index persists and is clustered. Food for thought. MJ
