RecoveryTools for SQL Server vs. Stellar Repair for MSSQL vs. SysTools SQL Recovery vs. python-sql Comparison Chart

Stellar Repair for MSSQL recovers tables, triggers, indexes, stored procedures, etc. It recovers deleted records from SQL database tables. Extracts the data from corrupted backup files. Restores SQL database with minimal downtime. It repairs corrupt SQL database (MDF and NDF) files and extracts data from corrupted backup (.BAK). It supports SQL 2022, 2019, 2017, 2016, and lower versions. When the primary filegroup of a database is suspected to be damaged by the SQL server or the transaction log file is missing or has turned corrupt, the database is marked as 'suspect'. Also, events such as SQL server crashes in the middle of a transaction, abrupt database termination, lack of disk space, etc., can bring the database into suspect mode. Consequently, the database becomes inaccessible. The Stellar SQL recovery tool helps recover SQL database from suspect mode and restores SQL database to a normal state (online).

python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.