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Demiton

SQL Server and PostgreSQL integration for construction

Stable Baseline

Generic SQL connector for querying relational databases. Tables are discovered dynamically from the database schema. Supports PostgreSQL and Microsoft SQL Server.

Authentication: Connection string (dialect, host, port, username, password, database)
Connection type: SQL
Supported dialects: PostgreSQL (postgresql+psycopg2), SQL Server (mssql+pyodbc)

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Resources are discovered dynamically - each table in the target schema becomes a fetchable resource.

Supported resources
ResourceFETCHLOOKUP
Per-table (dynamic)✓ Yes✓ Yes

FETCH runs SELECT * with a configurable row limit (default 100). LOOKUP retrieves rows matching a specific column/value pair.

This connector is read-only - write and execute operations are not supported.


The adapter builds a SQLAlchemy engine from the connection string and inspects the database schema to discover tables and views. Each table or view becomes a fetchable resource; nothing is declared in advance.

FETCH runs a SELECT with a configurable row limit (default 100). LOOKUP retrieves rows matching a single column/value pair. Relationships between tables are not modelled - joins are expressed in the workflow, not the connector.


Required values:

  • Dialect - postgresql or mssql
  • Host
  • Port
  • Username
  • Password
  • Database
  • Schema (optional) - defaults to public for PostgreSQL

Access type: Read-only

Demiton queries your database using the credentials provided. No data is written.

Permissions required: A database user with SELECT access on the specific tables or views your workflows query. Do not use an admin or owner account - create a dedicated read-only user for Demiton.

Best practice: Connect Demiton to a read replica if one is available, to avoid any impact on production database performance.


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