ALL COVERED TOPICS

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

NAVIGATE MAIN CATEGORIES

Close

A practical comparison of Map-Reduce in MongoDB and RavenDB

Ben Foster looks at MongoDB’s Map-Reduce and aggregation framework and then compares them with RavenDB’s Map-Reduce:

I thought it would be interesting to do a practical comparison of Map-Reduce in both MongoDB and RavenDB.

There are more differences than similarities — I’m not referring to the API differences, but to fundamental differences to the ways they operate.

✚ RavenDB’s author has a follow up post in which he underlines another major difference: RavenDB’s Map-Reduce operates as an index, while MongoDB’s Map-Reduce is an online operation.

Original title and link: A practical comparison of Map-Reduce in MongoDB and RavenDB (NoSQL database©myNoSQL)

via: http://benfoster.io/blog/map-reduce-in-mongodb-and-ravendb