Introducing Cassandra

I, Arslan Mirbozorgi, would like to discuss in this article complete information about Cassandra, its applications and advantages and disadvantages with you and in simple and non-specialized language. Apache Cassandra It is a database with scalability and high performance that is designed to manage large volumes of data on servers such as commodity dealing servers. This database has high Availability and no downtime. Cassandra is a NoSQL database. The following is the concept of NoSQL databases.

NoSQL databases:

NoSQL databases are databases that use a different method of table relationships used in RDBMS databases or SQL to store and retrieve data. Their features include Schema-freeness, ease of duplication, simple API, consistentness, and the ability to manage large amounts of data.
The main purpose of a NoSQL database is to have a simple design, horizontal Scalability and more precise control over Availability. NoSQL databases use different data structures compared to RDBMS databases, which makes some operations in NoSQL faster. Consistency, a NoSQL database, depends on the problem it needs to solve.

NoSQL vs SQL Databases:

The following table shows the difference between a SQL database and a NoSQL database:

In addition to Cassandra, the following two NoSQL databases are also very popular:

  1.  Apache H Base: An Open source, non-relational and distributed database that is modeled from Google’s Big Table and written in Java. The program was developed as part of the Apache Hadoop project, which runs on HDFS and provides capabilities such as Big Table for Hadoop.
  2. MongoDB: MongoDB is a Cross-platform database system based on Document that uses documents similar to JSON with dynamic Schemas instead of using table-based relational database structures that make it easier and faster to integrate data into certain types of applications.

What is Apache Cassandra?

Apache Cassandra, an Open source storage system, is distributed and decentralized to manage very large amounts of data fabricated with high Availability and no downtime.

Below are some of apache Cassandra’s usual notable features:

• Scalable, Fault-tolerant and Consistent.
• A database is based on columns (saves data tables based on columns, not rows).
• Its distributed design is based on Amazon’s Dynamo and its Data model according to Google’s Big table.
• Created on Facebook and differs greatly from SQL or RDBMS database management systems.
• Cassandra is used by the largest companies such as Facebook, Twitter, Cisco, Rackspace, ebay, Twitter, Netflix, etc.

Cassandra Features:

Cassandra has become very popular because of its outstanding features. Below are some of Cassandra’s features:

Elastic scalability – Cassandra:

It is very Scalable and allows you to add more hardware if needed to accept more customer and data.

It is always according to the architecture of the project:

Cassandra has no downtime and is constantly available for important business plans that should not fail.

Fast performance on Linear-scale – Cassandra:

Linearly scalable, i.e. by increasing the number of cluster nodes, the throughput increases and thus the rapid response time is maintained.

Flexible data storage:

Cassandra has all possible data formats, including structured or structured, Semi-structured or semi-structured, unstructured or unstructured, which will make changes to your data structure according to your needs.

Easy data distribution:

Cassandra makes data distribution more flexible wherever needed by duplicating data in multiple data centers.

Support for Transaction – Cassandra:

Like SQL or RDBMS databases, it supports features such as Atomicity, Consistency, Isolation and Durability (ACID).

Quick writes:

Cassandra is designed to work with conventional hardware. It does writing very quickly and can store hundreds of terabytes of data without reducing data reading efficiency.

And in the end,

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