Document updates (add, edit, delete) are serialized, except for binary blobs which are written concurrently.
CouchDB read operations use a Multi-Version Concurrency Control (MVCC) model where each client sees a consistent snapshot of the database from the beginning to the end of the read operation.
Common Advantages of CouchDB
Cheap, easy to implement (open source)
Data are replicated to multiple nodes (therefore identical and fault-tolerant) and can be partitioned
Down nodes easily replaced
No single point of failure
Easy to distribute
Don't require a schema
Can scale up and down
Relax the data consistency requirement (CAP)
CouchDB vs MongoDB :
CouchDB vs Couchbase :
Earlier there was an affinity towards the similar names. Behind each of these names there is a story. Damien Katz initiated the Couchbase, who was actually the founder of CouchDB, a combination of CouchDB and Membase is called Couchbase, leading to make an easily scalable and high performance database.
1. Open Source Type
An apache open source project written in the Erlang language is CouchDB and is freely downloadable by the user. Another open source language is couch base, but it has community, enterprise and developer editions as a group of components.
2. Database Lock
For ensuring the table or a row, DBMS will use lock and that is what traditional DBMS is all about. In the CouchDB there is no lock as it uses a concept called MVCC (Multi Version Concurrency Control). Pessimistic locking is used by Couchbase on the other hand.
Couchbase has its own query language called N1QL, a SQL-like query language for JSON. CouchDB doesn’t have Query language. They both have similar views that is multi-dimensional/geospatial.
Couchbase topology is distributed and it means it is built from forms and scratch a cluster of nodes. The owner for a portion of hash space has each node in the cluster.
On the other hand Couch DB is imitated and is master-master replication, making multi-site application easy for deployment.
In the form of key-document MongoDB is widely used in application development. It has pros and cons over CouchDB and Couch database.
couchbase vs mongodb :
Couchbase vs Cassandra :
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