NoSQL Benchmarks NoSQL use cases NoSQL Videos NoSQL Hybrid Solutions NoSQL Presentations Big Data Hadoop MapReduce Pig Hive Flume Oozie Sqoop HDFS ZooKeeper Cascading Cascalog BigTable Cassandra HBase Hypertable Couchbase CouchDB MongoDB OrientDB RavenDB Jackrabbit Terrastore Amazon DynamoDB Redis Riak Project Voldemort Tokyo Cabinet Kyoto Cabinet memcached Amazon SimpleDB Datomic MemcacheDB M/DB GT.M Amazon Dynamo Dynomite Mnesia Yahoo! PNUTS/Sherpa Neo4j InfoGrid Sones GraphDB InfiniteGraph AllegroGraph MarkLogic Clustrix CouchDB Case Studies MongoDB Case Studies NoSQL at Adobe NoSQL at Facebook NoSQL at Twitter



Integrating MongoDB with Solr

Sounds like quite a few NoSQL projects are externalizing the full text indexing to either Lucene or Solr (take for example CouchDB integration with Lucene or Neo4j integration with Lucene and Solr).

Now even if there are some basic ways (see [1] and [2]) to achieve this with MongoDB alone, people are still looking for more scalable solutions as shown by this thread ☞ covering Solr integration with MongoDB. The thread also mentions a couple of existing Ruby or Rails plugins for this integration.

One concern that I’ve expressed about the integration with Lucene alone is that you’ll have to deal with its scalability. Solr is one way to do that automatically. Lately I have heard of a new solution for scalable search: ☞ ElasticSearch which sounds quite interesting (nb: I haven’t yet gone through its docs or played with it, but the creator of the project has a long search/indexing history behind. You can find more details about Elastic Search here[3]).