Store Columns Document For Free

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.

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.

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.

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.

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.

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.

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.