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  1. Overview
    • Connecting to Snowflake
    • Virtual Warehouses
    • Databases, Tables, & Views
    • Data Types
      • Data Loading
      • Data Unloading
      • Queries
      • Snowflake Cortex ML-Based Functions
      • Data Sharing & Collaboration
      • Alerts & Notifications
      • Security
      • Data Governance
      • Organizations & Accounts
      • Business Continuity & Data Recovery
      • Performance Optimization
      • Cost Management

      Databases, Tables & Views¶

      All data in Snowflake is maintained in databases. Each database consists of one or more schemas, which are logical groupings of database objects, such as tables and views. Snowflake does not place any hard limits on the number of databases, schemas (within a database), or objects (within a schema) you can create.

      Next Topics:

      • Understanding Snowflake Table Structures
      • Working with Temporary and Transient Tables
      • Working with External Tables
      • Search Optimization Service
      • Overview of Views
      • Working with Secure Views
      • Working with Materialized Views
      • Table Design Considerations
      • Cloning Considerations
      • Data Storage Considerations

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      1. DDL (Data Definition Language) Commands
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