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Who should use Cassandra?

To fully understand Apache Cassandra GUI and what it can offer, it is helpful to first be familiar with NoSQL databases. Then, explore more in depth the Cassandra’s structure and capabilities. It’s a great overview of the software to decide if it is suitable for your company.

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

Highly adaptable
High availability
Doesn’t have a single reason for failure

Written in Java and Java, it’s an NoSQL database that offers a variety of features that other NoSQL or relational databases aren’t able to.

Cassandra was 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 top-level Apache project. It’s currently an integral part of the Apache Software Foundation and can be used by anyone who wishes to gain from it.

Cassandra is unique among database systems and provides advantages over other databases. Its capacity to handle large volume of data makes it a great choice for big 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 NoSQL Database?

A NoSQL commonly referred to by the name of “not solely SQL” database allows for the storage and retrieval of data without the need for data to be kept in tabular formats. Contrary to relational databases that require tabular formats, NoSQL databases allow for unstructured data. The NoSQL database type offers:

A simple design
Horizontal scaling
Extensive control over availability

NoSQL databases don’t require a any fixed schemas, allowing an easy replication. With its easy API, I love Cassandra for its general consistency and ability to handle huge quantities of data.

There exist pros as well as cons making use of this kind of database. Although NoSQL databases provide many benefits but they also come with disadvantages. The general rule is that NoSQL databases:

Only support simple queries (SQL)
Are you just “eventually constant
Do not support transactions

However, they work with massive quantities of data. They also provide an easy horizontal scaling making this kind of system ideal for a variety of large companies. The most well-known and reliable NoSQL databases are:

Apache Cassandra
Apache HBase

What is it that makes Apache Cassandra unique?

Cassandra is among the most effective and popular NoSQL databases. One of the major advantages of this database is the fact that it provides a highly-available service with one source of failure. This is essential for companies who can afford to let their systems fail or lose information. With one fault it ensures constant access and accessibility.

Another advantage to Cassandra is the huge amount of data it is able to manage. It is able to efficiently and effectively 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 rapid writing,” and its speed or accuracy doesn’t suffer from huge volumes of data. It’s as quick and precise for large amounts of information as for lesser quantities.

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 and it also allows users to simply upgrade their hardware to handle additional customers and their data. It is easy to scale up without shut downs or significant adjustments required. In addition the linear scalability of this system is among the features which helps ensure the system’s fast 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 anytime and anywhere.
Supports ACID. The characteristics of ACID (atomicity consistency, atomicity isolation, and endurance) are made available by Cassandra.

The truth is that Apache Cassandra offers some discrete advantages that other NoSQL and relational databases do not. With its continuous availability, operation-friendly simplicity and easy distribution of data over multiple centers and the capability to handle huge 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 as well as its model for data is built off the Google Big Table.

The basic structure is the cluster of nodes any of which will take a write or read request. This is the most important feature of its design, because there is no master node. Instead, all nodes interact in a similar way.

While nodes are the only area where data lives in the cluster, the cluster comprises the entire collection of data centers in which the data is all stored to be processed. The related nodes are located within data centers. This kind of structure is designed to be scalable and, should space be required it is easy to add nodes added. This means it is simple to expand, designed to handle capacity, and designed to support multiple users on the same system.

Its design also permits data security. To ensure the integrity of data, Cassandra has a commit log. It is a backup technique and every data entry is written to the commit log in order to ensure the data isn’t lost. It is later indexed before being written into memtable. The memtable is an data structure that is stored in the memory that Cassandra writes. There is only one active memtable in each table.

When memtables exceed their limit, they get flushed onto a disk and then become immutable SSTables. This means that once the commit log gets full it triggers a flush in which the contents of memtables get transferred to tables. This commit log can be an essential component of the Cassandra architecture since it is a reliable method to safeguard data and ensure data integrity.

Who can benefit from Cassandra?

If you’re looking to store and manage huge quantities of data on multiple server, Cassandra might be a ideal solution for your business. It’s ideal for companies who:

Don’t want to risk data loss
They can’t shut down their database because of the outage of one server

Additionally, it’s easy to use and quick to expand, making it ideal for companies which are constantly expanding.

At its heart the structure of Apache Cassandra has been “built-for-scale” and is able to handle massive amounts of data as well as concurrent users across the system. It allows major corporations to store huge quantities of data in an uncentralized system. Even with the decentralization, it permits users to access and control over the data.

Data is also always available. With no single failure point it provides constant availability, which means there is no the possibility of data loss and downtime. Furthermore, since it can be scaled simply by adding more nodes, there is always uptime , and no requirement to shut down the system to handle more customers or to store more information. With these advantages it’s not a surprise that many big firms use Apache Cassandra.