Get C-store: A Column-oriented Dbms

In a relational database, a column is a set of data values of a particular type, one value for each row of the database. A column may contain text values, numbers, or even pointers to files in the operating system.

No, DynamoDB is not a columnar database. It is a key-value and document database offered by Amazon Web Services (AWS). DynamoDB uses a key-value data model with support for document data structures, making it a flexible and scalable NoSQL database.

9 Key benefits of columnar database Improved data compression. Enhanced query performance. Efficient use of cache memory. Vectorization and parallel processing. Improved analytics and reporting. Better handling of sparse data. Flexible indexing options. Ease of scalability.

C-store physically stores a collection of columns, each sorted on some attribute(s). Groups of columns sorted on the same attribute are referred to as “projections”, which can be sorted in different attributes and are implemented in C-store in order to get better performance in terms of read-optimization.

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 row store stores a sequence of records that contains the fields of one row in the table. In a column store, the entries of a column are stored in contiguous memory locations.

A column-store database management system (DBMS) is a DBMS that indexes each column of a table, storing the indexes in lieu of row data — unlike traditional relational DBMSs using a row-store, where data is stored in rows, with indexes optional.