Columnar databases are a type of database that store data in columns rather than rows. This type of database is designed to be efficient for querying large amounts of data and is often used for data warehousing and analytics applications.
There are several columnar databases that support SQL (Structured Query Language), which is a standard programming language for managing and manipulating databases. Here are a few examples of columnar databases that support SQL:
- Amazon Redshift: Amazon Redshift is a cloud-based columnar database that is designed for data warehousing and analytics. It is based on PostgreSQL and supports a variety of SQL commands and functions.
- Snowflake: Snowflake is a cloud-based columnar database that is designed for data warehousing and analytics. It supports a variety of SQL commands and functions, as well as proprietary extensions to SQL.
- ClickHouse: ClickHouse is an open-source columnar database that is designed for high-performance analytics. It supports a variety of SQL commands and functions, as well as proprietary extensions to SQL.
- Vertica: Vertica is a columnar database that is designed for data warehousing and analytics. It supports a variety of SQL commands and functions, as well as proprietary extensions to SQL.
These are just a few examples of columnar databases that support SQL. There are many other columnar databases available that also support SQL, and the specific SQL commands and functions supported by each database may vary.
