Execute SQL queries via SQLAlchemy, bind parameters for prepared SQL, and retrieve fully rendered SQL with literals in metadata. Ideal for querying and analyzing Teradata databases.
Discover accessible databases on SQL Server by querying sys.databases, excluding system and blocked databases by default, with options to include system databases.
Fetch detailed information for Metabase models like cards, dashboards, tables, and databases using specific IDs. Supports batch retrieval and pagination for large datasets.
Enables intelligent handling of large files through smart chunking, search with regex support, line navigation, and streaming capabilities without loading entire files into memory.
Enables AI models to interact with MS SQL Server databases through a standardized interface. Supports executing SQL queries with parameters, listing tables, and describing table schemas.