What is the difference between key-value and column wide formats?

Key-value stores are highly scalable, making them popular for click path data and streaming media. Wide column. Wide column databases store data in large column-based tables instead of rows. Queries can be run quickly on large amounts of data, making these databases common for retail and IoT data.

What are the differences between column oriented & document-oriented databases?

4 Answers. The main difference is that document stores (e.g. MongoDB and CouchDB) allow arbitrarily complex documents, i.e. subdocuments within subdocuments, lists with documents, etc. whereas column stores (e.g. Cassandra and HBase) only allow a fixed format, e.g. strict one-level or two-level dictionaries.

What is a key-value in a database?

A key-value database is a type of nonrelational database that uses a simple key-value method to store data. A key-value database stores data as a collection of key-value pairs in which a key serves as a unique identifier. Both keys and values can be anything, ranging from simple objects to complex compound objects.

What is the difference between a column and a super column in a column family database?

A column family can contain super columns or columns. A super column is a dictionary, it is a column that contains other columns (but not other super columns). A column is a tuple of name, value and timestamp (I’ll ignore the timestamp and treat it as a key/value pair from now on).

What is meant by column oriented database?

A column-oriented DBMS or columnar DBMS is a database management system (DBMS) that stores data tables by column rather than by row. However, by storing data in columns rather than rows, the database can more precisely access the data it needs to answer a query rather than scanning and discarding unwanted data in rows.

What is the primary difference between document NoSQL databases and key-value NoSQL databases?

Document-oriented Databases The difference between these two models is that, in a key-value database, the data is treated as opaque and the database doesn’t know or care about the data held within it; it’s up to the application to understand what data is stored.