SQL Log Analyzer tool is a third-party utility that allows users to view SQL Server Transaction Logs files. This SQL Log Analyzer tool restores the database from MDF and LDF files. It saves the table objects such as primary key, unique key, foreign key, etc. This professional utility is able to export the newly created database directly to the SQL server. Also, it has some amazing features which make it unique from its competitors.
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Microsoft SQL Server holds all the transaction records in the form of a log file. This log file is an LDF file that can be used to analyze all the transaction queries performed on the database. A user can read all the actions that take place over the database like Update, Delete, and Insert
The MDF file is the primary database file or Master database file of the SQL server. It contains all the data like columns, rows, fields, etc created by user and administrator. The software can easily restore the database from the MDF file and can restore it to the database.
The LDF file contains all the transaction records. In these transaction records, all the queries performed over the database are stored. It also includes all the information like time, Login Name, etc. A user can recover all the transaction queries like Update, Insert and Delete from the LDF file.
SQL Server provides an option to define constraints for the tables. These constraints are like Column level constraints and Table-level constraints. A user can use this SQL Log Analyzer utility to save the constraints like Unique Key, Primary Key, Foreign Key, etc.
If users want to select and recover data from a particular time span then the tool permits users to use a date range feature. Using this feature they can easily filter the data items by just providing start and end date as the parameters.
If a user is done with the View SQL Server Transaction Logs process and wants to export all the transactions into a real database then they can easily export all the data with table constraints to a new SQL database. This tool will directly export the database to the SQL server.
If a user is up to restore the database from the MDF file then he is allowed to do it by using the SQL Server Log Analyzer. It is possible to create a new database with all the MDF data and to directly export it to the SQL server. The software also lets the user test the database connection prior to export.
Whereas the SQL Log Analyzer lets the users save the recovered data as a new database on SQL server, she/he can also save all the recovered data as a SQL script, and later they can import it to the Microsoft SQL Server. All they need to do is to opt for the “Save as SQL Script” option.
The tool offers an astonishing and interactive user interface which makes it easy to handle. The GUI of the tool is self-intuitive in nature which lets the users convenient while using the software to analyze the SQL transaction log file. It becomes a seamless process just because of the GUI.
SQL Server Log Analyzer is compatible with all the major Windows OS editions. A user can use it for LDF and MDF files created using SQL Server version 2005, 2008/R2, 2012, 2014, 2016, 2017. So there is no need to worry about the platform and the server version.
Free Log Analyzer can be downloaded from our website. The free version is a demo version which can be used for the evaluation and testing purposes. It includes all the features of the full or licensed version except that a user can only Read and View SQL Server Transaction Logs but cannot recover database from MDF and LDF file. If the user wants to perform the restoration of the database using the tool then s/he has to go for the full or licensed version which can be easily purchased from the website.
"SQL Log Analyzer has turned out into a great utility to perform the analysis of the SQL database for a growing organization like us."
- John Read
"I was having trouble to View SQL Server Transaction Logs but the tool made it easy to open LDF file of the SQL Server."
- Samantha Tracy
"This software is easy to use and super user-friendly. The software is fairly robust and gives the exact results as well. It is also easy to implement."
- Dan Hidalgo