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Price Details:
- Regular Price: $599
- Discounted Price: ONLY $359.10
Stellar Log Analyzer for MS SQL Review and Screenshot:
Stellar Log Analyzer for MS SQL is a powerful and user-friendly software designed to help administrators and database managers maintain their SQL databases’ optimal performance and integrity. It provides solutions to help users quickly scan, read, and analyze SQL Server logs to track transactions and changes to the database, including table creations, deletions, and modifications. You can use it to recover specific transactions lost due to accidental deletions or dropped transactions to a new database.
Not to mention, Stellar Log Analyzer for MS SQL will also help users create detailed reports on activities, schema changes, and data recovery processes, which are essential for auditing and compliance. It allows users to select specific transactions for recovery based on various parameters such as time, date, table name, and transaction type, thereby enhancing the flexibility of recovery tasks. This feature also saves time and effort.
Besides, you can also read and preview transaction details, including type, time, user, name, table, and query to ensure the accuracy and relevance of the data being restored. It works smoothly on all versions of Windows OS, such as Windows 11, 10, 8.1, 8, 7 & Windows Server 2012, 2008. Also, this software is compatible with SQL 2022, 2019, 2017, 2016, and lower versions.
Key Features:
- Scan read, and analyze a SQL database log (LDF) file and its associated MDF file
- Read all the transactions and preview the data
- Restore deleted or dropped transactions to a new database
- Generate a new Database with Recovered Items
- Generate detailed reports on user activity
- Save Log File Data for Specified Periods
- Search a specific item by entering its name in the search bar when viewing log tables data and log transactions in the Preview window
- Support for SQL 2022, 2019, 2017, 2016, and lower versions
- User-friendly interface and Simple to use
Stellar Log Analyzer for MS SQL features a simple, intuitive interface that simplifies the log analysis and data recovery process, making these tasks accessible for users of all skill levels.
