Store Columns Document For Free

MongoDB stores data objects in collections and documents instead of the tables and rows used in traditional relational databases. Collections comprise sets of documents, which are equivalent to tables in a relational database. Documents consist of key-value pairs, which are the basic unit of data in MongoDB.

A columnar database is a database management system (DBMS) that stores data in columns instead of rows. The purpose of a columnar database is to efficiently write and read data to and from hard disk storage in order to speed up the time it takes to return a query.

A document database (also called a NoSQL document store) is a non-relational database that stores data as structured documents. A document is typically stored as a JSON file. It is a simpler way to store data in JSON format rather than the complexity of SQL with multiple tables of rows and columns.

One example of a column store database is Apache Cassandra. Cassandra is an open-source, distributed, NoSQL database that stores data in a column-family format. Column families are similar to tables in a relational database, but they store data column-wise.

Columnstore indexes are the standard for storing and querying large data warehousing fact tables. This index uses column-based data storage and query processing to achieve gains up to 10 times the query performance in your data warehouse over traditional row-oriented storage.

Document storage is the act of placing digital documents into a type of management system for the purposes of effectively and securely storing, managing, and/or organizing the information.

Document-oriented databases, also known as document stores, are used to manage semi-structured data. This data does not adhere to a fixed structure, instead it forms its own structure. The information can be ordered using markers within the semi-structured data.

A document typically stores information about one object and any of its related metadata. Documents store data in field-value pairs. The values can be a variety of types and structures, including strings, numbers, dates, arrays, or objects. Documents can be stored in formats like JSON, BSON, and XML.