Technology

Stellar Repair for MS SQL – Product Review

Unlock the full restorative potential of your SQL Server databases with Stellar Repair for MS SQL. If you’ve encountered delays or errors stemming from corrupt database files, this powerful tool offers a comprehensive solution. Seamlessly recover lost or damaged data from both primary (MDF) and secondary (NDF) database files, ensuring that no vital information remains beyond reach. With its intuitive user interface, even non-technical users can confidently navigate the recovery process. Whether your databases have suffered server crashes, unplanned terminations, or storage constraints, Stellar Repair for MS SQL stands ready to revive your critical data, ensuring uninterrupted operations and peace of mind.

Key Features:

Stellar Repair for MS SQL boasts several key features and compatibility, making it a versatile and efficient tool for SQL database recovery:

  1. Compatibility: Stellar Repair for MS SQL is compatible with all major SQL Server versions, including 2019 to older editions. This broad compatibility ensures users can utilize the tool across various SQL environments seamlessly, regardless of the server version they operate.
  2. Preview Option: The software enables users to preview recoverable objects before finalizing the recovery process. This feature provides confidence and accuracy, allowing users to verify and ensure that the correct data is being restored, reducing the risk of errors and data loss.
  3. Recovery of Deleted Records: Stellar Repair for MS SQL has the ability to recover deleted records from MDF files. This functionality is crucial for recovering data that was inadvertently deleted or lost due to corruption, effectively expanding the scope of data retrieval possibilities.
  4. Recover Multiple Objects: With the capability to recover multiple database objects such as tables, views, triggers, and more in a single scan, the software streamlines the recovery process and ensures comprehensive restoration of database components, saving time and effort for users.
  5. Save Recovered Data in Multiple Formats: Users can save the recovered data in various file formats like CSV, XLS, HTML, and SQL scripts, offering flexibility in data utilization and compatibility with different software applications or platforms, enhancing usability and interoperability.
  6. Simple and User-Friendly Interface: Featuring an intuitive interface, The MS SQL repair tool is designed to be user-friendly, making it accessible even to non-technical users. This simplicity enhances usability, reduces the learning curve, and facilitates efficient navigation through the recovery process.
  7. Efficient and Fast Recovery: Equipped with an advanced scanning engine, the software ensures efficient and rapid recovery from corrupt MDF files. This capability minimizes downtime, maximizes productivity, and expedites the restoration process, enabling users to swiftly regain access to their valuable database assets.
  8. Two-Step Recovery Process: The tool employs a two-step process involving scanning and recovery into a database preview, ensuring a thorough and reliable recovery of corrupted data.
  9. Export Feature: Users can export the recovered databases in various formats including MDF, CSV, XLS, and HTML, providing flexibility in accessing and utilizing the recovered data.
  10. Advanced Scan Mode: The advanced scan mode enhances the recovery process, especially for large databases, by employing more sophisticated algorithms to ensure better results.
  11. Direct Recovery to Live Database: It offers the convenience of directly saving the recovered databases to a live database, eliminating the need for intermediate steps and simplifying the restoration process.

Benefits:

  1. Convenience and Efficiency: Stellar Repair for MS SQL provides a convenient and efficient alternative to manual and server-based recovery procedures, streamlining the recovery process and reducing downtime.
  2. Time and Effort Savings: Especially beneficial for large databases, the tool can save significant time and effort by automating the recovery process and minimizing manual intervention.
  3. User-Friendly Interface: With its user-friendly interface, the tool is accessible to both technical and non-technical users, making it easy to operate and navigate through the recovery process.

How Stellar Repair for MS SQL Works?

Now, let’s have a look at the steps to use Stellar Repair for MS SQL:

1. Discover or search for the corrupted SQL database MDF file.

2. After selecting the SQL database MDF file, select Repair from the menu.

3. Choose a suitable scan mode, and click the OK button to correct the file.

4. The program displays the status of the database file repair operation.

5. Click OK once the MDF file repair procedure has been successful.

6. By choosing the Save option from the File menu, you can preview the recoverable database items and then save them.

7. Choose the option to save the updated SQL database file, and then click the Next button to continue.

8. Click the Next button after entering the information required to connect to the SQL Server and save the corrected MDF file.

9. Select a suitable file-saving method, then click the Save button to continue

10. The program provides status updates for the file-saving process, including Finished, Processing, Pending, and Aborted.

11. A confirmation message appears following the successful completion of the saving process.

Conclusion

In conclusion, Stellar SQL Recovery software emerges as a formidable solution for recovering corrupt data from Microsoft SQL Server databases. Its compatibility across all major SQL Server versions, coupled with a user-friendly interface and advanced scanning engine, positions it as a must-have tool for database administrators and users alike. With multiple recovery options at your disposal, including the retrieval of deleted records, tables, indexes, and more, Stellar SQL Recovery software stands ready to restore your databases to their full functionality, ensuring uninterrupted business operations and data integrity.

Editor

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