Apache Cassandra

Apache Cassandra – NoSQL Database

Cassandra – A Quick Overview for Aspirants

It is possible to store and manage high-velocity structured data across several commodity servers with Apache Cassandra’s highly scalable and available distributed database, which eliminates the risk of a single point of failure.

Let’s read this blog to discover more about Cassandra. Get hands-on exposure to Apache Cassandra Training in Chennai with IBM Certification.

Overview of Apache Cassandra

Apache Cassandra is a very potent open-source distributed database system that handles enormous amounts of documents dispersed over several commodity machines quite efficiently.

By implementing multi-node Cassandra clusters, it is simple to grow to accommodate a sudden rise in demand and achieve high availability needs without a single point of failure.

One of the most effective NoSQL databases is currently in use. A free packaged distribution of Apache Cassandra is available from DataStax.

This also comprises a number of additional tools, including a Windows Installer, DevCenter, and the DataStax expert documentation.

To deal with data that can be kept in a tabular format and does not, however, fit the requirements of relational databases, a NoSQL database is a sort of data processing engine that is installed specifically for that purpose.

NoSQL databases contain a number of noteworthy characteristics, including the ability to manage enormous volumes of data, a simple API, ease of replication, almost complete lack of schema, and more or less consistency.

NoSQL solutions are designed to be incredibly simple, horizontally scalable, and capable of offering quite precise availability management.

The data formats used in relational databases and those utilized in NoSQL databases are significantly dissimilar. As a result, it increases the speed of operations in NoSQL databases.

History of Apache Cassandra

Cassandra was first created by Facebook for inbox searches. In July 2008, it became open-source software. In March 2009, Apache incubator subsequently approved it.

Cassandra has been an Apache top-level project since 2010 and is now a component of the Apache Software Foundation.

Cassandra’s Characteristics and Features

  • Column-oriented Database
  • It is scalable, fault-tolerant, and very consistent.
  • It was developed for Facebook and afterward made available for use.
  • Google Bigtable is the foundation of the data model.
  • On Amazon Dynamo, the distributed design is based.

The Architecture of Apache Cassandra

The following are some of the crucial elements of the Cassandra architecture:

Cluster: A cluster is an entire group of different data centers where all of the data is kept in preparation for Cassandra’s NoSQL database processing.

Data Center: A data center is a collection of connected nodes.

Node: A node is a precise location in a cluster where the data are stored.

Commit log: Cassandra uses this failsafe technique to backup all of the data in the Cassandra database by sending it to the commit log.

Memtable is a memory-based data structure where Cassandra buffers write. Each table will have a single active Memtable.

SSTable: Memtables are flushed onto the disk and turn into immutable SSTables when they exceed their threshold value.

Bloom Filter: The bloom filter is an algorithm that quickly determines if a given element is a part of a set. After each query, these bloom filters are accessible.

What is CQL?

You may access the Cassandra database through its node by learning the Cassandra query language (CQL). The database is treated by this query language as a collection of tables.

Additionally, the Cassandra query language shell (cqlsh) that comes with this query language enables users to communicate with Cassandra.

Details about Apache Cassandra

Some of the largest companies on the planet, including Facebook, Netflix, Twitter, Cisco, and eBay, are using Cassandra, an extremely reliable and comprehensive NoSQL database.

The evident characteristics of Cassandra that easily distinguish it from the competition include the following:

  • Wide-ranging Data Structure Support

Structured, unstructured, and semi-structured data may all be supported by Cassandra, and it also permits dynamic modifications to the data structures to take into account changing requirements.

  • Architecture that Scales Linearly

Without having to dive into the complexity, it can be scaled from a specific number of nodes to a higher set of nodes by adding new nodes simply and linearly. This results in an immediate improvement in throughput and reaction time.

  • Continuous Distribution

With the help of a straightforward data replication mechanism, this NoSQL database enables you to seamlessly disperse your data across various data centers.

  • Very Reliable

As it has no single-node failure, a crucial characteristic for mission-critical applications, Cassandra is designed to manage the failure of cluster nodes without negatively impacting performance.

  • Support for ACID

Since RDMS does not allow ACID transactions, Cassandra’s database does a good job of supporting the ACID qualities of atomicity, consistency, isolation, and durability.

Accelerated Data Writes

Cassandra is incredibly fast when it comes to writing data, allowing you to store enormous volumes of data on common hardware without negatively impacting read efficiency.

The Facebook inbox search served as the inspiration for the Cassandra NoSQL technology that is so popular today.

In July 2008, the leader in social networking made Cassandra open-source. In 2009, it joined the Apache Incubator, then in 2010, it joined the Apache top-level project.

It may now be utilized by anybody interested in taking advantage of its many applications because it is a fundamental component of the Apache Software Foundation. All data in the Cassandra cluster is spread across all of the nodes since the file distribution method is peer-to-peer across all of the nodes.

Regardless of whether the data is stored in the cluster or not, every node in the cluster can accept requests for reading or writing data. Some of the nodes that serve as replicas for a certain block of data are how Cassandra replicates data.

There is a lot of data available nowadays, and it is verified as to whether it is current or not. Cassandra will reply with the most recent value of the data if it is not the most recent data.

What does the Apache Cassandra NoSQL tool cover?

The Cassandra NoSQL tool has been widely used by some of the top corporations from all over the world ever since it was made available for open source in 2008.

These businesses may store data in a distributed way while maintaining complete control and flexibility over the data thanks to Cassandra’s enormous decentralized architecture.

Furthermore, it has no single point of failure, making it appealing to businesses that simply cannot afford to lose data or have server outages.

The dominant company in online entertainment streaming, Netflix, uses this technology entirely to store data in a decentralized way and to implement a replication plan over numerous AWS servers to increase data resilience and failsafe.

With no need that the column names to match, Cassandra’s column-oriented data storage approach makes it simple to store data in which each row in a column family may have a different number of columns.

Cassandra’s log-structured storage engine enables high-speed write operations, which are ideal for archiving and evaluating sequentially collected data.

Cassandra may be used to store key-value data that requires high availability since it comes with a built-in permanent cache of data. There is no downtime since Cassandra’s linear scalability allows for the on-demand addition of new nodes to the cluster.

Integrating the NoSQL database Cassandra for Hadoop applications makes complete sense given that the majority of the Big Data accessible today is nstructured state.

The Cassandra database may receive read and write operations from MapReduce tasks. To query and save data in the Cassandra NoSQL database, you may also use Apache Pig.

What type of person should study Apache Cassandra?

  • Project managers and experts in research and analytics
  • Professionals in Testing and IT development
How Would Becoming Familiar with Apache Cassandra Benefit Your Career?

Today, Big Data and Hadoop are the center of the universe. The majority of big data, including videos, log data, photos, satellite feeds, data from remote sensing, IoT devices, and others, is in the NoSQL format. Therefore, it is crucial for workers considering a career in Hadoop to comprehend NoSQL databases.


When it comes to advancing your profession, the Apache Cassandra NoSQL tool may be a genuine asset. Cassandra is one of the greatest NoSQL technologies to incorporate into the Hadoop environment since it is a strong tool with some distinctive qualities.

When it comes to data processing, Cassandra is incredibly successful at handling a wide variety of datasets, making it somewhat of a Swiss Army Knife.

Therefore, qualifying Cassandra professionals may really receive a stunning pay raise along with more responsibility, which will result in career progress overall. Learn Apache Cassandra Course in Chennai with IBM Certification and Placement Assistance at Softlogic Systems.

Leave a Comment