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Cassandra Introduction

To fully understand Apache Cassandra and what it can accomplish, it’s beneficial to first be familiar with NoSQL databases, and then explore more in depth the Cassandra’s capabilities and architecture. This will give you a great overview of the software to help you decide if it is suitable for your particular business.

Apache Cassandra is a distributed database management system designed to handle massive amounts of data in multiple data centers as well as the cloud. The key features are:

Highly elastic and scalable
Provides high availability
There is no single cause of failure

Written in Java It’s written in Java, it’s a NoSQL database that can do a lot that other NoSQL and relational databases can’t.

Cassandra was initially developed by Facebook for their search inbox feature. Facebook opened-sourced the feature in 2008 and Cassandra was added to the Apache Incubator in 2009. Since the beginning of 2010 it’s been an upper-level Apache project. It is currently a major component of the Apache Software Foundation and can be used by anyone who wishes to profit from it.

Cassandra is distinct from other database systems and provides advantages over other databases. Its capacity to handle large volume of data makes it a great choice for large companies. It’s currently used by numerous major companies like Apple, Facebook, Instagram, Uber, Spotify, Twitter, Cisco, Rackspace, eBay, and Netflix.

What is what is a NoSQL Database?

A NoSQL commonly referred to in the context of “not solely SQL” database can store and retrieve data without the need for data to be saved in tabular form. Contrary to relational databases that require tabular formats, NoSQL databases allow for unstructured data. This kind of database provides:

A simple design
Horizontal scaling
Extensive control over availability

NoSQL databases don’t require a an established schema, which allows for simple replication. With its easy API, I love Cassandra because of its overall consistency and ability to handle huge volumes of data.

However, there is a pros and cons to making use of this kind of database. Although NoSQL databases have many advantages however, they do have some disadvantages. In general, NoSQL databases:

Only support simple the query language (SQL)
Are they “eventually steady
Don’t be a supporter of transactions

However, they work when dealing with large amounts of data . They also offer simple, horizontal scaling, which makes this kind of system an ideal choice for large-scale businesses. The most well-known and reliable NoSQL databases are:

Apache Cassandra
Apache HBase

What is it that makes Apache Cassandra unique?

Cassandra GUI is among the most reliable and extensively used NoSQL databases. One of the main advantages of this database is the fact that it provides a highly-available service with one fault point. This is essential for companies who can afford to let their systems fail or even lose information. With the absence of a single fault it ensures constant access and accessibility.

Another advantage to Cassandra is the huge amount of data the system is able to manage. It is able to effectively and efficiently manage massive quantities of data on multiple servers. Furthermore, it’s capable of speedily writing huge volumes of data without impacting the efficiency of reading. Cassandra gives users “blazingly quick writes” and the speed and accuracy is not affected by huge volumes of data. It’s just as quick and precise for large amounts of information as for lesser amounts.

Another reason that a lot of companies use Cassandra is its ability to scale horizontally. Its design allows users to handle the sudden increase in demand since it lets users just add additional equipment to accommodate more clients and data. It is easy to scale up without shut downs or significant adjustments required. Furthermore its linear scalability is among the features which helps keep the system’s rapid response time.

Other advantages of Cassandra are:

Flexible data storage. Cassandra can handle semi-structured, structured, and unstructured data. This gives users the ability to store data in a variety of ways.
Flexible data distribution. Cassandra utilizes multiple data centers that allow for data distribution that is easy any time and wherever it is needed.
Supports ACID. ACID’s properties ACID (atomicity consistency, atomicity isolation, and endurance) are made available by Cassandra.

It is clear that Apache Cassandra offers some discrete advantages that other NoSQL and relational databases do not. With its continuous accessibility, operational efficiency as well as easy data distribution over multiple centers and the capability to handle large quantities of data it is the ideal database for many businesses.

What is the process behind Cassandra performs her job?

Apache Cassandra is a peer-to-peer system. The design of its distribution is based by Amazon’s DynamoDB the data structure is also based off the Google Big Table.

The fundamental architecture is an array of nodes, any of which will take a write or read request. This is the most important feature of its design, because there aren’t any master nodes. All nodes are able to communicate in a similar way.

While nodes are the only area where data lives in the cluster, the cluster is the whole collection of data centers in which the data is all stored to be processed. Nodes that are related are placed within data centers. This type of structure was designed to be scalable and, when space becomes needed it is easy to add nodes added. This means it is simple to expand, designed to handle the volume of use, and designed to support multiple users on the same system.

Its structure is also a way to provide data security. To ensure the integrity of data, Cassandra has a commit log. It’s a backup procedure and all data is written into the commit log to ensure that the integrity of data. It is later indexed before being written into memtable. Memtables are essentially an data structure that is stored in the memory, where Cassandra writes. There is only one active memtable for each table.

When memtables exceed their limit, they get flushed to disks and are made immutable SSTables. This means that once the commit log gets full it triggers a flush in which memtables’ contents are transferred to the SSTables. This commit log can be a crucial component of the Cassandra architecture since it is a reliable method to safeguard data and ensure data integrity.

Who is the best person to use Cassandra?

If you’re looking to manage and store large amounts of data on many servers Cassandra might be a ideal solution for your business. It’s ideal for companies who:

It isn’t cost-effective for data loss
Databases cannot be down because of the downtime of just one server

Furthermore, it’s simple to use and quick to expand, making it ideal for companies that are always expanding.

At its heart the structure of Apache Cassandra can be described as “built-for-scale” and is able to handle huge amounts of data and concurrent users across the system. It allows large corporations to store huge quantities of data in an uncentralized system. However, despite decentralization, it allows users to access and control over information.

The data is always available. With no single failure point it provides constant availability, which means there is no the possibility of data loss and downtime. In addition, since it is able to be expanded by adding more nodes, there is always availability and there is no need to shut down the system to handle more customers or to store more information. With these advantages it’s not a surprise that so many large businesses use Apache Cassandra.