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Apache Cassandra
The Apache Cassandra is an extremely powerful open source distributed database system that works extremely well to handle huge volumes of records spread across multiple commodity servers. It can be easily scaled to meet sudden increase in demand, by deploying multi-node Cassandra clusters, meets high availability requirements, and there is no single point of failure. It is one of the most efficient No SQL databases available today. DataStax offers the free packaged distribution of Apache Cassandra that is available through DataStax. This also includes the various other tools like a Window’s installer, DevCenter tool and the DataStax professional documentation.
Cluster
It is a complete set of multiple data centers on which the entire data is stored for processing in the Cassandra NOSQL database
Data center
A set of related nodes are grouped in a data center
Node
The specific place where the data resides on the cluster is called the node
The commit log
It is a fail safe method that is deployed by Cassandra in order to take a backup of all data in the Cassandra database by writing it to the commit log
Mem-table
It is a data structure that resides in the memory to which the data is written after the data is written to the mem-table. There can be multiple mem-tables for single-column family data
SSTable
When the mem-table reaches its threshold value the data is moved into this disk file called the SSTable
Bloom filter
The bloom filter is an algorithm that lets you test whether an element is a member of a set in a swift manner. These bloom filters are accessed after each query.
No SQL databases are called “Not Only SQL” or “Non-relational” databases. No SQL databases store and retrieve data other than tabular relations such as relation databases.
No SQL databases include MongoDB, HBase, and Cassandra.
There are following properties of No SQL databases.
Data structures used in Cassandra are more specified than data structures used in relational databases. Cassandra data structures are faster than relational database structures.
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