MongoDB Vs CouchDB

webmaster — Mon, 04 Apr 2022 12:43:51 +0000

MongoDB	CouchDB
It Provides faster read speeds.	If read speed is critical to your database, MongoDB is faster than CouchDB.
No mobile support provided.	It can be run on Apple IOS and Android devices, offering supports for mobile service.
Offers master-slave Replication.	Offers master-master and master- slave Replication.
If you have a rapidly growing database, MongoDB is the better choice.	While your database grows with CouchDB, MongoDB is better suited rapid growth.
For users with SQL knowledge, MongoDB is easier to learn as it is closer in syntax.	It can be more difficult for people with traditional SQL experience to learn. Queries use map reduce functions.
If you need maximum throughput, or have a rapidly growing database	If you need a database that runs on mobile, needs master-master and master replication or single server durability then CouchDB is great choice.
Data model is document- oriented (BSON).	Data model is document-oriented (JSON).
Query method becomes Map/Reduce (JavaScript) creating collections + object-based	Query method Map/Reduce (JavaScript + others) creating views + Range queries.

What is Cassandra database software ?

Editor — Tue, 13 Jul 2021 04:40:35 +0000

Apache Cassandra is a simple and open-source provides NoSQL DBMS build to handle huge volume of data against more fabric servers.It providing high availability with no single point of failure.
The performance of Cassandra place a high value. In 2012, University of Toronto researchers studying NoSQL systems resulted that “Scalability defined there is a clear winner throughout our experiments.Cassandra achieves the largest throughput for the large number of nodes in all experiments” although “it determine at the price of high write and read latencies.”

Cluster contain every node has the same role.
There is no single point of failure.
To provides data across the cluster so every node have various data, but there is no master as every node can service if any request.

Replication strategies are configurable.
Cassandra is built as a distributed system, for deployment of maximum numbers of nodes across many data centers.
Key features of Cassandra’s distributed architecture are specifically change for multiple-data center deployment, for redundancy, for fail over and disaster recovery.

As new machines are added read and write throughput both increase linearly, with the achieve of no halt or interrupt to applications.

Data is automatically replicated to many nodes for fault-tolerance. Replication across multiple data centers is maintained. Failed nodes can be changed with no downtime.

Writes and reads gives a adjustable level of consistency, all the way from “writes never fail” to “block for all replicas to be readable”, with the quorum level in the middle.