Written in: it is written in Erlang. 11: CouchDB is not suitable for a rapidly growing database where the structure is not clearly defined from the beginning. This latest release incorporates numerous performance and usability enhancements. CouchDB: For accumulating, occasionally changing data, on which pre-defined queries are to be run. MongoDB is strongly consistent. Places where versioning is important. CouchDB - HTTP + JSON document database with Map Reduce views and peer-based replication. Performance Consistency : In CouchDB is safer than MongoDB: In MongoDB, database contains collections and collection contains documents. MongoDB is an apt choice for a rapidly growing database. 10: CouchDB offers master-master and master-slave replication. CouchDB favors availability. Both databases are known to provide a high performance and availability when it comes to scalable databases. Couchbase is rated 8.0, while MongoDB is rated 7.8. Understanding the performance behavior of a NoSQL database like Apache Cassandra ™ under various conditions is critical. We looked an MongoDB, Cassandra, and probably some others. Consistency : CouchDB is eventually consistent. Above all, this is the main difference between Couchbase and MongoDB. If I need good performance on a big DB. NoSQL databases are open source and document oriented. Benchmarking NoSQL Databases: Cassandra vs. MongoDB vs. HBase vs. Couchbase. Memory. The most important reason people chose MongoDB is: So in conclusion, MongoDB is faster, CouchDB is safer Both databases … MongoDB favors consistency. On the other hand, the top reviewer of MongoDB writes "Good security, highly-available when installed in a … Conducting a formal proof of concept (POC) in the environment in which the database will run is the best way to evaluate platforms. The top reviewer of Couchbase writes "It can scale horizontally, and we are looking to expand our capacity". I find it well balanced and you should read it all as it covers a lot of different aspects: horizontal scalability, query expressions, atomicity, durability, mapreduce support, javascript, performance, etc. MongoDB’s performance suffers from master-slave replication, which can cause idle nodes and low hardware utilization. MongoDB and CouchDB are the best examples of NoSQL databases. It has been 5+ years since we chose CouchDB. All MongoDB services share the same resources, making it impossible to isolate workloads. If I wanted CouchDB, but the data changes too much, filling up disks. When comparing MongoDB vs Couchbase, the Slant community recommends MongoDB for most people.In the question“What are the best databases to use for Node.js applications?”MongoDB is ranked 3rd while Couchbase is ranked 13th. Another article comparing MongoDB and CouchDB is hosted by ☞ MongoDB docs. MongoDB provides no mobile support. Also, memory is another difference between Couchbase and MongoDB. 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