{"categories":[{"label":"Database","url":"https://skillfed.io/packages/category/database/4"}],"enrichment":{"capability":"A dbt adapter that enables data transformation and testing workflows on Microsoft SQL Server and Azure SQL services, integrating SQL Server as a dbt-supported data warehouse.","skillfed_tags":["dbt-adapter","sql-server","data-transformation"],"use_cases":["Build and test data transformation pipelines on SQL Server without writing raw T-SQL, using dbt's model and test abstractions.","Migrate dbt projects from other data warehouses to SQL Server or Azure SQL by swapping the adapter and adjusting SQL Server-specific configurations.","Automate incremental table refreshes with safe column type expansion, avoiding manual schema migrations during model evolution.","Integrate SQL Server as a dbt-compatible warehouse in multi-warehouse analytics stacks or data mesh architectures.","Run dbt tests and data quality checks against SQL Server tables as part of a CI/CD pipeline."],"what_it_does":"dbt-sqlserver is a plugin that connects the dbt data transformation framework to Microsoft SQL Server and Azure SQL services. It allows you to write dbt models, tests, and macros that run against SQL Server as your data warehouse, following dbt's standard project structure and workflow. The adapter handles SQL Server-specific syntax, schema management, and connection pooling through either pyodbc (the default ODBC-based backend) or an optional mssql-python backend that avoids ODBC driver dependencies.\n\nThe adapter supports SQL Server 2017 through 2025 and is tested against Python 3.11, 3.12, and 3.13. It includes features like safe type expansion for incremental models, configurable schema concatenation behavior, transaction control options, and XACT_ABORT handling to prevent partial batch commits on errors. Installation is straightforward via pip, though you must separately install the appropriate SQL Server driver or system libraries depending on which backend you choose.","worth_installing":"Yes. The adapter is production-stable (Development Status 5), actively maintained with a recent release, has no known vulnerabilities, and low install friction. Choose it if you are committed to SQL Server or Azure SQL and want to use dbt's transformation framework. Verify beforehand that your target SQL Server version (2017 or newer) and Python version (3.10+) are supported, and plan for backend dependencies: either the Microsoft ODBC driver or optional mssql-python system libraries."},"id":"dbt-sqlserver","links":{"html":"https://skillfed.io/packages/dbt-sqlserver","md":"https://skillfed.io/packages/dbt-sqlserver.md","pypi":"https://pypi.org/project/dbt-sqlserver/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-11","license_spdx":null,"license_treatment":"permissive","name":"dbt-sqlserver","python_support":"supports_current","summary":"A Microsoft SQL Server adapter plugin for dbt"},"popularity":{"monthly_downloads":193995,"position":9846,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.11.1"}