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Queries in SQL

While there are other query languages for different types of databases, such as NoSQL databases, SQL is the most used and SQL variants remain the standard.

The common common use for queries in SQL is to find specific data by filtering against specific criteria. They can also automate data management tasks. Crosstab, make table, append, crosstab, update, total, and parameter are other examples of common SQL queries. Ad-hoc SQL queries are used when predefined datasets are unable to answer specifc questions. 

JSON Queries in SQL with Snowflake

Snowflake supports the common standardized version of SQL (ANSI) for database querying, and aggregates unstructured, semi-structured (JSON) and structured data.

Snowflake simplifies access to JSON data and allows users to combine it with structured data. Using Snowflake, users can access JSON data with queries in SQL, and easily join it to traditional tabular data. This innovative approach to querying allows users to store JSON documents in a relational table using a new data type (VARIANT) that is optimized automatically in the background for columnar and MPP access. Read more about JSON in Snowflake here.

Snowflake also allows users to easily query multiple databases.

Read more:

Snowflake Launches Unstructured Data Support in Public Preview

Unstructured Data Definition