In this article, we will discuss the 5 main benefits of Apache Cassandra in which scalability, High Availability, High Fault Tolerance, High Performance, Multi-Data Center, and Hybrid Cloud Support are the main factors.
Prerequisite – Introduction to Apache Cassandra
- Scalability :
In Cassandra, If a system will be scalable then your business would not miss out on opportunities during heavily trafficked periods.
Consider you have an E-commerce website and your business is online but If due to many users flooding the site simultaneously and even on a one-minute outage will impact your business with a huge amount of money loss. Cassandra helps you to make your system scalable. so, that’s why scalability matters.
Figure – Scalability
- High Availability :
In Cassandra, High Availability via data replication at the different-different location and on different data centers which gives the high availability.
The architecture is peer to peer which is also master less architecture means that every node can perform read and write operations. This enables data to quickly be replicated across data centers and geographies.
If your data and it’s a replica at a different-different location and on different centers then if one data center goes down but your system will be available and can access from different locations and from the different data center.
- High Fault Tolerance :
In Cassandra, masterless, peer-to-peer architecture and data replication capabilities, applications never slow down or fail when nodes get knocked offline.
In Cassandra, there’s no need for any manual intervention when a node fails. In Cassandra, fault tolerance is automatic because the replica of data is available on different nodes and If one node goes down then data will be accessible from another node.
- High Performance :
In Cassandra, High performance is one of the main factors. when we talk about High performance then more specifically we can say speed matters. for example, service at restaurants, quick delivery of packages, and zero lag from our applications.
- Multi-Data Center and Hybrid Cloud Support :
In Cassandra, you can access multiple data center and also you can use hybrid cloud support. and Cassandra is designed as a distributed system for the deployment of large numbers of nodes across multiple data centers.
key to multi-data center deployment :
- N Replication factor and replica placement strategy –
In Cassandra, you can define Network Topology Strategy which has capabilities for fine-grained adjustment of the number and location of replicas at the data center and rack level.
- N Snitch –
In Cassandra, For multi-data center deployments, you need to make sure the snitch has complete and accurate information about the network, either by automatic detection (Rack Inferring Snitch) or details specified in a properties file (Property File Snitch).
- N Consistency level –
In Cassandra, consistency levels that are specifically designed for scenarios with multiple data centers.
- Introduction to Apache Cassandra
- SSTable in Apache Cassandra
- Node in Apache Cassandra
- Architecture of Apache Cassandra
- Apache Cassandra tools
- Apache Cassandra (NOSQL database)
- Concept of indexing in Apache Cassandra
- Overview of Data modeling in Apache Cassandra
- Pre-defined data type in Apache Cassandra
- Collection Data Type in Apache Cassandra
- Difference between Apache Hive and Apache Spark SQL
- Difference Between Apache Kafka and Apache Flume
- Benefits of Content-Addressed Storage
- Introduction to Apache Pig
- Apache Hive
- Apache HBase
- Components of Apache Spark
- Why Apache Kafka is so Fast?
- Introduction to Apache CouchDB
- How to Install and Run Apache Kafka on Windows?
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