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



What the Heck Are Document Databases?

Julie Lerman in an article offering an overview of 3 document databases (CouchDB, MongoDB, RavenDB):

In my research, I’ve heard a MongoDB expert say that the product’s primary concern is performance. A CouchDB expert pointed to simplicity and reliability (“we want to be the Honda Accord of databases”). And Ayende Rahien, creator of RavenDB, said RavenDB aims for “fast writes, fast reads and world peace.” Each of these document databases has even more to offer than what these sound bites suggest.

With the exception of a few twists (which I’ll point out in this article), these databases provide their data most commonly through HTTP, store their data as JavaScript Object Notation (JSON) documents and provide APIs in multiple languages. The overall concerns are simplicity, speed and scalability. Equally important is that all three are open source projects.

Original title and link: What the Heck Are Document Databases? (NoSQL database©myNoSQL)