Choosing NoSQL over RDBMS
The main advantage of NoSQL is horizontal scalability and distributed storage. That means you can have a large number of ‘cluster nodes’ and write to them in parallel. The cluster will ensure changes are propagated to the other cluster nodes eventually (eventual consistency).
The developer requires high coding velocity and great agility in the application building process. NoSQL databases have proven to be a better choice in that regard, using object-focused technologies such as JSON.
As a database grows in size or the number of users multiplies, many RDBMS-based sites suffer serious performance issues. If organization is facing such issues, then consider using NoSQL technologies.
Data warehousing & analytics
Real time analytics for operational data is better suited to a NoSQL setting. Where data is brought together from many upstream systems to build an application, NoSQL is a must.
Apache Cassandra Architecture
Cassandra’s architecture is based on the understanding that system and hardware failures can and do occur. It’s architecture allows any authorized user to connect to any node in any datacenter and access data using the CQL language. CQL uses a similar syntax to SQL.
Key Elements Of Cassandra
Components of Cassandra
Node, Data Center, Cluster, Commit Log, Mem-table , SSTable.
There are two kinds of replication strategies in Cassandra. Simple Strategy and Network TopologyStrategy.
Coordinator sends a write request to replicas.
There are three types of read requests, Direct request, Digest request, Read repair request.
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Cassandra OEM Support:
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Reasons Why To Choose Cassandra
The Apache Cassandra database been Open Source is the right choice when you need scalability and high availability without compromising performance. Apache Cassandra provides some unique benefits that make it a must have in any database developer’s toolkit.
Simple solutions for complex problems
Cassandra provides an elegant and simple solution to complex problems like centralized logging.
Easily deals with data velocity, data variety and data complexity issues.
High Availability and Fault Tolerance
Data replication feature of Cassandra makes it highly available and fault-tolerant.
Cassandra stores columns based on the column names, leading to very quick slicing.
Cassandra is famous for being a Schema-less/schema-free database in its column family.
Cassandra offers lot of knobs and levers which can help in optimize your workload and environment.