Multilingual | File size: 8.57 MB
Analyze activity in your SQL Server either by directly connecting to the database, or by taking a look at the LDF and MDF log file pair.
Services usually keep large quantities of information inside databases. There are various types of databases, and even more associated tools to comfortably perform related server tasks. For instance, SysTools SQL Log Analyzer is the type of application which can connect to your SQL databases in an attempt to analyze related transactions, and even offline log files.
Analyze SQL log file transactions & quickly perform SQL ldf file recovery
Preview .ldf Activity: Transaction, , Name, Table Name, & Query
Read & Analyze All Transactions like: INSERT, DELETE, UPDATE etc.
Supported Data Types: Date2, dateoffset, sql_variant, hierarchyid, geometry & geography data types.
Quick Scan, View LDF file and Auto locate associated MDF file
Provides support to fetch & view records from Live database
Recover Deleted Records if database is in Simple Recovery Mode.
Option to Filter & Export as SQL Database, as SQL Script or as CSV File
Provides Support to Analyze Multiple NDF File data
MDF File is required to analyze the database
The tool works both online & offline SQL database environment
Supported Unicode (collation) data tables after export
Supports SQL Server 2017, 2016, 2014, 2012, 2008 and SQL Server 2005 LDF Files
Complete analyses of SQL transaction Log (.ldf) file to identify critical changes in record
Open, Read & Analyze all Microsoft SQL transactions: Insert, Update & Delete
SQL LDF File Recovery to restore the modified database back into SQL Server
Forensic Investigator can track who modified SQL table records with details provide by Log Analyzer
Quick Scan to deeply examine log file & provide full visibility to database records
Open & Analyze all operation of a transaction(LDF) file Without MS SQL Server application
SQL Log Analyzer works on both Online & Offline SQL Database Environment
Support to fetch & view records from Live SQL database environment
Support For Advance SQL Data Type : Date2, dateoffset, sql_variant, hierarchyid, geometry & geography data types
Dynamic Filters to export only Selective transaction records after complete analyses
Display LDF information in SQL Scripts, CSV file or directly export to any SQL Server database
Auto-locate MDF to read database schema of scanned Log File while opting Offline DB Option
Provide support to Unicode (Collation) property after exporting database
Supports Microsoft SQL Server 2017, 2016, 2014, 2012, 2008 and SQL Server 2005 LDF
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