Stellar Toolkit for MS SQL

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Stellar Toolkit for MS SQL: Overview

Stellar Toolkit for MS SQL is a comprehensive 5-in-1 utility suite recommended by SQL administrators and Microsoft MVPs. It is designed to repair corrupt MS SQL databases, analyze transaction log files (.ldf), extract data from damaged backups, reset lost database passwords, and convert between different database formats including SQL Server, MySQL, MS Access, SQLite, and SQL Anywhere.

Repairs corrupt MDF/NDF SQL database files with data integrity
Recovers databases from damaged backup (.bak) files
Analyzes SQL log files to audit changes or track suspicious activity
Resets lost or forgotten SQL database passwords securely
Converts SQL, MySQL, SQLite, Access & SQL Anywhere databases

Stellar Toolkit for MS SQL: Key Features

Repairs Corrupt SQL Databases (MDF/NDF) and Backup Files

This tool restores access to corrupted SQL Server databases by repairing damaged MDF and NDF files. It also supports restoring deleted records and all types of database objects like tables, stored procedures, indexes, triggers, etc. The recovered files can be saved into a new or live database, ensuring fast resumption of operations.

Analyzes SQL Transaction Log Files (LDF)

The SQL Log Analyzer enables forensic inspection of transaction log files, helping identify all INSERT, UPDATE, DELETE and schema-level DDL operations performed on the database. Users can view log transaction details, preview queries and metadata, and export logs for audit purposes.

Extracts Data from Corrupt Backup Files

The integrated Backup Extractor tool can recover full, differential, or transaction log backups from damaged .bak files. It previews recoverable components like tables, views, synonyms, and exports the restored content into a usable format for seamless integration back into SQL Server.

Stellar Toolkit for MS SQL: Database Migration and Conversion Features

Converts SQL, MySQL, SQLite, Access & SQL Anywhere Databases

Stellar Converter for Database allows users to convert database files across popular formats such as SQL (.mdf), MySQL, MS Access (.mdb/.accdb), SQLite (.db/.sqlite), and SQL Anywhere (.db). It preserves relational data integrity and supports both full-database and table-level conversions.

Parallel Processing for Faster Recovery

The Toolkit supports parallel processing of up to 8 tables during recovery, significantly speeding up the repair of large databases. The UI displays the real-time progress for each table as 'Completed', 'In Progress', or 'Aborted', enabling transparent tracking of the repair process.

Recovers Deleted SQL Records

The software allows inclusion of deleted records during the database repair process. Deleted data is shown in preview before recovery, offering users the option to restore lost records and export them into new or live databases.

System Requirements

Processor: Intel-compatible (x86, x64)
Operating System: Windows 11, 10, 8.1, 8, 7 and Windows Server 2019, 2016, 2012, 2008, 2003
Memory: Minimum 16 GB (32 GB recommended)
Hard Disk: 250 MB for installation files

Frequently Asked Questions

What is Stellar Toolkit for MS SQL used for?

This toolkit is used to repair corrupt SQL databases, recover data from damaged backups, reset lost passwords, analyze SQL log files, and convert between SQL database formats such as SQL Server, MySQL, and SQLite.
Can the software recover data from severely damaged backup files?

Yes. The Backup Extractor tool can extract complete database contents even from heavily corrupted .bak files. It supports recovery from full, differential, and transaction log backups.
Does the toolkit support all major SQL Server versions?

Absolutely. The software supports SQL Server versions from 2019 back to 7.0, ensuring wide compatibility with legacy and modern systems.
How do I download and activate Stellar Toolkit for MS SQL?

Once your purchase is complete, you'll receive a secure download link and a valid license key by e-mail. Follow the installation instructions, enter your product key and start using Stellar Toolkit for MS SQL immediately.