NoSQL can be defined as a technique for database design, which helps accommodate a wide range of data models, including key-value, columnar, documents, or graph data. NoSQL is abbreviated as "not only SQL" is introduced to act as an alternative for traditional relational databases. In this chapter, you will learn about the various benefits that NoSQL has over other traditional database management systems.
Benefits of Using NoSQL
- High elastic Scalability: In the case of traditional database services, there is a limitation where DBAs have to rely on scaling according to the development requirement. It ultimately intends for database users or organizations to purchase larger servers to cope with the increasing data load. In those scenarios, NoSQL databases put forward a much easier alternative of scaling out - the database gets distributed transversely numerous pre-existing hosts. As the demand for data storage availability is increasing, scaling out as a virtual environment will offer an added economical alternative for hardware scaling.
It is a challenge to scale RDBMS data to commodity servers as cluster servers, which can be easily controlled using NoSQL databases, as they are pre-programmed to achieve scale on new nodes. These hardware costs are also low, which makes data storage affordable.
- Valuable and reliable for big data: Each organization, application, and services are generating large amounts of data that need to be stored appropriately. It brings into focus the concept of 'big data,' which focuses on the "industrial revolution of data". Usually, this is not possible for RDBMS; it is not able to store unstructured data and different types and vast amounts of data. This is why organizations turned towards using NoSQL systems such as MongoDB or Hadoop to handle 'big data' volumes.
- Reduced dependence/trust in in-house DBAs: The most crucial drawback of employing powerful high-end RDBMSs is maintenance, which can probably be done by employing trained DBAs, and they have higher pay scales. DBAs (Database Administrators) are implicated in designing, installing as well as performing these RDBMS operations, making it virtually indispensable. But in the case of NoSQL databases, they are intended for less hands-on administration, having features like data distribution, simplified data models, auto management and fetching data using simple code, and auto-repairing of data. So, management and organizing of data can be done remotely also by remote-DBAs, which is less costly and more straightforward.
- It's cheaper: NoSQL databases are intended for utilizing inexpensive commodity hardware for constructing clusters of the server, which helps in managing huge data volumes and transaction of data. On the other hand, traditional RDBMSs systems want expensive storage and original servers; this means they pose a higher cost per volumes for storing the data.
- Agile data models: Traditional database systems usually give immense headaches for managing the changes in storage and operational architecture, particularly for the large production ones. In such a system, minor changes need to be monitored carefully. On the other hand, NoSQL database systems do not contain such limitations on their data-storage models. They are flexible for any type of changes in not only the genre of data but also the architecture of data-storage, allowing comparative agility like the addition of new columns with no significant alterations or breakdown.