SQL Server Data Tool

The tool provides a backend analytics engine for SQL Server. It connects securely to an instance, selects a database, and executes arbitrary T-SQL or stored procedures. It returns structured outputs including result sets, column metadata, and execution metrics, enabling rapid validation and data exploration. Benefits include reproducibility, scriptable analysis, and easy integration with AI workflows.
Conceptually, the tool separates data access, metadata extraction, and optional schema comparison. It uses the input query to fetch data, while capturing statistical hints such as null counts, data type distribution, and sample values. When a second database is provided, it computes schema diffs across objects to highlight changes between environments.
Unique value arises from combining query execution, data profiling, and schema intelligence in a single backend tool, without any UI layer. It is particularly useful for DBAs performing migrations, data quality audits, and performance tuning, as outputs are readily consumable by scripts and AI agents. Core features include: query execution, result export, metadata extraction, and optional schema comparison; with robust error handling and clear validation rules.
Use cases include validating migrated schemas, profiling data quality before migration, and identifying indexing opportunities through simple heuristics. The tool's outputs are designed to feed downstream pipelines, dashboards, or testing suites, enabling repeatable and auditable data operations.