SQL Log Analyzer Launched For Quick Analysis of SQL Logs

For instant analysis of SQL Log files, SQL Log Analyzer software is launched. This tool recovers damaged SQL databases also.

Online PR News – 27-January-2014 – Gothenburg – Gothenburg, Sweden, January 27, 2014: - After a long time research and analysis towards solution for finding corrupt logs within SQL files, company has finally developed a technically integrated software named as SQL Log Analyzer. The tool renders facility to view SQL transaction log data for analyzing all the log details like transaction date, transaction time, transaction table, and many more. After analysis SQL Log file, tool permits to export Log data into SQL database and SQL compatible scripts. Read more: http://www.sqlloganalyzer.repair-sql.net/

More Features Available With New SQL Server Log Explorer:

• Analyzing SQL Server LDF files to review the data transactions completely
• Examining transaction executed with any type of command like Delete, Insert, Update
• Auto locating of MDF file associated with scanned LDF files
• Export as CSV option along with exporting database into SQL and SQL compatible script
• Assured log data analysis for big LDF files
• Accessible to analyze and open SQL Log files for latest edition of SQL Server
• Auto sorting option to view the scanned Log files according to desired order (by transaction name, transaction table etc)

Evan Swans, Director of Product Development says, “In order to examine instant corruption and annoying concerns into SQL databases, it is necessary to track the log details of SQL transactions. If any of the database table is suffering from any corruption then, user can go through the process to repair it. Now, the query that comes along is how to recover deleted data from SQL Log file. For assured solution of this query, SQL Log Analyzer tool is launched recently. It has crucial benefits to find interrupted transactions due to which many SQL tables move to non-working manner as well as this application also assists to repair corrupt SQL databases.”