دانلود Devart dbForge Transaction Log v2.1.85 (15 Apr 2022) + کرک

What is Devart dbForge Transaction Log?

The dbForge Transaction log for SQL Server is a powerful tool for reading transaction logs and a .ldf viewer for files. With its assistance, you can browse and study SQL Server transaction logs and retrieve information from them. The program provides comprehensive information on all changes to data in your database. It also lets users stop undesirable transactions based on their current requirements at various levels.

• Replay and rollback SQL Server database transactions
• Revert selected tables to a specific point in time
• Get detailed information about logins
• Export transactions into SQL files
• Audit changes in the table's data
• View the data change history
• Recover deleted records

Devart dbForge Transaction Log Great Features:

Export Outputs

Display the transaction logs in a grid, or save them as SQL Script, SQL Bulk files, and directly to the database. It also can run after the database switches to online mode.

Detailed Login Info

Find out who was the person who made the changes, their particular login details, as well as the date the changes were implemented, even if it was before the time Transaction Log was installed. The information you need is available for every transaction, and Logs are kept in the Transaction Log.

Transaction Visualization

Transaction Log SQL Server transaction data is displayed, grouped, and sorted on a customized high-performance grid that includes advanced filters.

Data Recovery

Examine the transaction log to find damaged and deleted information in Your SQL server databases. Reverse any malicious or accidental database transactions to restore information. Recover from damage or loss of data without relying on full database restorations.

Undo or Redo

Choose to view any or all actions in a transaction and create the replay or Reroll scripts.

Transaction Isolation

You can isolate particular SQL Server transactions based on the user Date, time, object change type, and much more. Use sophisticated grid-based search techniques, such as regular expressions, transaction information, and row-history search.

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