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Version: devel

30+ SQL databases

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SQL databases are management systems (DBMS) that store data in a structured format, commonly used for efficient and reliable data retrieval.

The SQL Database verified source loads data to your specified destination using one of the following backends: SQLAlchemy, PyArrow, pandas, or ConnectorX.

Sources and resources that can be loaded using this verified source are:

NameDescription
sql_databaseReflects the tables and views in an SQL database and retrieves the data
sql_tableRetrieves data from a particular SQL database table
tip

If you prefer to skip the tutorial and see the code example right away, check out the pipeline example here.

Supported databases​

dlt+

Check out dlt+ for support of change tracking for Microsoft SQL Server.

We support all SQLAlchemy dialects, which include, but are not limited to, the following database engines:

note

Note that there are many unofficial dialects, such as DuckDB.

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

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