![]() ![]() Although NoSQL databases focus on performance and scalability, it can lack data consistency. ![]() Hence, there are multiple types of NoSQL databases available, and most of them have different functionalities. NoSQL databases don’t have a uniform standard as relational databases do.Users do not need to worry about performance since NoSQL databases are built for high performance and minimum latency.Users can change the data model based on the requirements on the fly.Flexible data models allow users to combine structured, unstructured, and semi-structured data.Hence, it is a perfect solution for data analysis and big data projects. Users can handle large amounts of data.Minimum downtime (zero downtime in most databases).It does not require having a defined schema and can easily scale horizontally to handle large data volumes. Regardless of what we call it, NoSQL databases provide the flexibility to handle large-scale data. Although such databases have existed since the 1960s, the name “NoSQL” was only coined in the early 21st century. What is NoSQL?Īs the name implies, NoSQL stands for “not only Structured Query Language” since it enables the storage and querying of data outside the traditional structures found in relational databases. So we thought it was about time to discuss the importance of NoSQL databases, have a look at different NoSQL database types, and clarify their advantages and limitations. And with cloud service providers such as Amazon and Azure introducing their own NoSQL database solutions to the market, it’s no wonder that this approach to database design has been growing in popularity. Their scalability and support of unstructured data is appealing to developers seeking solutions outside the traditional structures found in relational databases. With the modern big data revolution, NoSQL databases have become widely popular. ![]()
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