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1.SQL Compare Compare and synchronize SQL Server database schemas effortlessly. 2.SQL Data Compare Identify and sync data differences between SQL Server databases. 3.Folder to SQL Compare Compare SQL script folders with live SQL Server databases. 4.SQL Trace / SQL Profiler (Azure Supported) Capture, trace, and analyze SQL Server events and performance — includes Azure SQL support. 5.SQL Table Documents Generate structured documentation for SQL Server table schemas. 6.SQL Data Export Export SQL Server data into multiple formats (CSV, Excel, JSON, etc.). 7.Excel to SQL Move Import Excel spreadsheets directly into SQL Server tables. 8.Import / Export Data Perform high-speed bulk data transfer between databases and formats. 9.Daily Tasks Automate and schedule routine SQL Server maintenance tasks. 10.Procedure Creation Easily design, edit, and manage stored procedures. 11.Script Maintenance Organize, version, and manage SQL scripts within the applica

Records is a Python library designed to make direct SQL querying convenient without introducing a full object-relational mapper. It supports relational databases including PostgreSQL, MySQL, SQLite, Oracle, Microsoft SQL Server, and Amazon Redshift through SQLAlchemy. Query results are exposed as friendly Record objects whose fields can be accessed by attribute, key, or numeric index. Queries support safe parameterization, SQL files, transactions, and bulk operations. Result collections can...