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 ElasticSearch and CouchDB

This tutorial explains the process of setting up ElasticSearch to automatically index data in CouchDB and make it search-able. ElasticSearch 0.11 introduced a feature named The River, which allows it to connect to external systems and listen for documents updates. On receiving a notification, Elasticsearch indexes the data and makes it available for search.

In a nutshell, the solution uses what I’ve mentioned in previous posts: a combination of CouchDB _changes and an ElasticSearch automatic pull mechanism.

Original title and link: Integrating ElasticSearch and CouchDB (NoSQL databases © myNoSQL)