columnar database

A columnar database is a database management system (DBMS) that stores data in columns instead of rows. 

The goal 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.  

Download this free guide

Download: Why RDBMS Still Rules Database Roost

This exclusive 60-page guide explores why you shouldn’t get distracted by new DB technology, how Facebook is using a RDBMS to do the data slicing and dicing they can’t in Hadoop, and much more.

Start Download

• Corporate E-mail Address:

  You forgot to provide an Email Address.

  This email address doesn’t appear to be valid.

  This email address is already registered. Please login.

  You have exceeded the maximum character limit.

  Please provide a Corporate E-mail Address.

By submitting my Email address I confirm that I have read and accepted the Terms of Use and Declaration of Consent.

By submitting your personal information, you agree that TechTarget and its partners may contact you regarding relevant content, products and special offers.

You also agree that your personal information may be transferred and processed in the United States, and that you have read and agree to the Terms of Use and the Privacy Policy.

In a columnar database, all the column 1 values are physically together, followed by all the column 2 values, etc. The data is stored in record order, so the 100^th entry for column 1 and the 100th entry for column 2 belong to the same input record. This allows individual data elements, such as customer name for instance, to be accessed in columns as a group, rather than individually row-by-row. 

Here is an example of a simple database table with 4 columns and 3 rows.

ID         Last      First      Bonus

1          Doe      John      8000

2          Smith    Jane      4000

3          Beck     Sam      1000

In a row-oriented database management system, the data would be stored like this:  1,Doe,John,8000;2,Smith,Jane,4000;3,Beck,Sam,1000;   

In a column-oriented database management system, the data would be stored like this:  1,2,3;Doe,Smith,Beck;John,Jane,Sam;8000,4000,1000; 

One of the main benefits of a columnar database is that data can be highly compressed. The compression permits columnar operations — like MIN, MAX, SUM, COUNT and AVG— to be performed very rapidly.  Another benefit is that because a column-based DBMSs is self-indexing, it uses less disk space than a relational database management system (RDBMS) containing the same data. 

As the use of in-memory analytics increases, however, the relative benefits of row-oriented vs. column oriented databases may become less important. In-memory analytics is not concerned with efficiently reading and writing data to a hard disk.  Instead, it allows data to be queried in random access memory (RAM).