Choosing The Right NoSQL Database Type For App Development

Firstly, this blog is only for readers who have some idea about NOSQL. Secondly, the purpose of this blog is to give you a good idea of different types of NoSQL databases so that when you go for a particular NoSQL database type, someone says to you Excellent Choice Sir.

NoSQL database

Speed and scale

Speed and Scale address the time it takes to service incoming reads and writes to your application. Some databases are designed to optimize read-heavy apps, while others are designed to support write-heavy solutions. Selecting a database that can handle your app’s I/O needs goes a long way to a scalable architecture.

Data modeling

It is a representation of the data structures to be stored in the database and very powerful expression of the business requirements. Data Modelling is very helpful if your app contains features like search queries, reporting, location-based features, etc. Such apps require multiple databases to manage different types of data.

Data security

When you’re using synchronized and decentralized storage it is important to access, transmit, and store data securely. To cover this completely, you need to address authentication, data at rest, data in motion and read/write access Support for the anonymous access is also important for many apps. For data at rest on the server and client, you’ll want support for both file system encryption and data-level encryption.

Introducing SQL databases

An SQL database is commonly referred to as a relational database because it’s based on the relational model introduced by Edgar F. Codd. The relational model defines a methodology for organizing structured data into relations and for defining the relationships between those tables.

Key-value databases

Data is stored in a key-value structure that associates unique identifiers with specific data blobs, making it possible to store just about any type of data in whatever form it’s delivered.

Document databases

Data is stored as documents in a format such as JSON or XML, with each document assigned its own unique key, but without being limited to predefined fields or elements.

Column-oriented databases

Data is stored as strongly-typed columns rather than rows, making it possible to query and aggregate large volumes of data very quickly. These types of databases go by other names as well, such as column-store, wide-column store, and column-family.

MongoDB

MongoDB is the most popular NoSQL database. A free and open source, cross-platform, document-oriented database, MongoDB uses JSON-like documents with schemas.

Couchbase

Couchbase is a JSON document support database platform distributed by Couchbase Inc. The open source NoSQL DBMS supports broad use cases. Couchbase Server, an open source NoSQL key-value and document database with built-in cache, appeals to enterprises that need a database that can deliver performance, multi-model, scale, and automation.

Conclusion

In this article we described the main characteristics and types of NoSQL technology while approaching different aspects that highly contribute to the use of those systems.