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:

Name	Description
sql_database	Reflects the tables and views in an SQL database and retrieves the data
sql_table	Retrieves 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:

• PostgreSQL
• MySQL
• SQLite
• Oracle
• Microsoft SQL Server
• MariaDB
• IBM DB2 and Informix
• Google BigQuery
• Snowflake
• Redshift
• Apache Hive and Presto
• SAP Hana
• CockroachDB
• Firebird
• Teradata Vantage

note

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