They serve mobile application data handling and content management. Their usage has increased with the use of JavaScript and JSON (JavaScript Object Notation). They do not require a master schema for creating and updating programs.

Document Databases: These databases store semi-structured data and their descriptions in document format.

They can work with RAM, disk drives, or solid-state drives. These databases are highly efficient and scalable for caching in web applications and session management.

Key-Value Stores: These databases work on a simple data model that consists of a pair of unique keys and a value associated with it.

There are four primary types of NoSQL databases: key-value stores, document databases, wide-column stores, and graph stores. Batch processing and simple refactoring accomplish massive changes, making NoSQL databases ideal for rapid development.

Rapid Development: The database allows for easy modification of data storage and query methods.

Flexibility: NoSQL databases provide immense flexibility in data storage, leading to increased performance.The problem of hardware failure is dealt with during the development phase. They are capable of handling hardware failures without affecting performance. Redundancy: NoSQL databases are designed with redundancy in mind.Hence, one prefers them for their scalability. Data is divided and balanced among multiple nodes in a cluster, and by default, aggregate queries are divided. Scalability: NoSQL databases are designed to scale easily.Analytics: NoSQL databases are suitable for analytical queries, as the querying language used for atomic queries can also be used for analytical queries.NoSQL does not use a standard-based query language. APIs allow for selection methods and low-level data manipulation. NoSQL offers interfaces that are easy to use for storing and querying data. NoSQL databases have integrated caching capabilities, meaning they keep frequently used data in system memory and remove the need for a separate caching layer. NoSQL does not require a separate application to implement replication. To enable data localization and withstand regional failures, it can distribute the database across multiple geographic regions. Some sophisticated NoSQL databases provide automated recovery and are fully self-healing. The database allows for automatic database replication to maintain availability in case of outages. If a server fails, it is quickly and transparently replaced without disrupting the application. Applications do not need to be aware of the server pool composition, and data and queries are automatically balanced among the servers. It provides an auto-sharding feature, which automatically spreads data across various servers. Horizontal scaling is done in a NoSQL database, meaning servers are added instead of increasing the capacity of a single server. This makes development faster, more reliable, and less time-consuming for the database administrator.

As a result, one can make real-time application changes easily without worrying about service interruptions. NoSQL databases allow for the insertion of data without a predefined schema. Suitable for structured, semi-structured, as well as unstructured data.Įxamples are MySQL, Oracle Database, Postgres.Įxamples are MongoDB, HBase, Cassandra, Neo4j.īelow are some of the important features of NoSQL: Some products provide strong whereas others provide eventual consistency. Open technologies and closed-source databases come into use as a development model.ĭata manipulation is done using specific data manipulation language.ĭata manipulation occurs through object-oriented APIs. Dissimilar data can be stored together, which is not the case with SQL databases. Then, the entire database needs to be altered to add a new data item.ĭynamic storage. Noĭifferent types are available like document databases, key-value stores, graph databases, and wide-column stores.ĭeveloped in the 1970s to handle data storage applications.ĭeveloped in the 21 st century to overcome the limitations of SQL databases such as multi-structured data, agile development sprints, and scalability.ĭata types and structures are fixed beforehand. Given below are some of the differences between SQL database and NoSQL database: Sr. Difference Between SQL Database and NoSQL Database NoSQL databases are becoming increasingly popular for big data applications, as well as many other web-based applications. They are also known as “not only SQL,” “non-SQL,” or “non-relational databases,” as they support not only SQL programming languages, but also other types of programming languages. NoSQL Database is a database implementation method used for stacking, managing, and fetching the data from relational databases that are structured in any model but not in the typical tabular formatted relationship model. Hadoop, Data Science, Statistics & others What is NoSQL Database?

Non tabular database