NinjaOne
NinjaOne automates the hardest parts of IT, empowering more than 20,000 IT teams. By providing deep insights into endpoints, robust security measures, and centralized control, NinjaOne boosts efficiency while safeguarding sensitive data and cutting IT expenses. This comprehensive platform offers a versatile toolkit for managing and securing endpoints, including patch management, mobile device oversight, software distribution, remote support, backup solutions, and more, thanks to its extensive IT and security integrations.
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PeerGFS
A Comprehensive Solution for Streamlined File Orchestration and Management across Edge, Data Center, and Cloud Storage
PeerGFS presents an exclusively software-based solution designed to address file management and replication challenges within multi-site and hybrid multi-cloud environments.
With our extensive expertise spanning over 25 years, we specialize in file replication for geographically dispersed organizations. Here's how PeerGFS can benefit your operations:
Enhanced Availability: Achieve high availability through Active-Active data centers, whether located on-premises or in the cloud.
Edge Data Protection: Safeguard your valuable data at the Edge with continuous protection to the central Data Center.
Improved Productivity: Empower distributed project teams by providing swift, local access to critical file information.
In today's world, having a real-time data infrastructure is paramount.
PeerGFS seamlessly integrates with your existing storage systems, supporting:
High-volume data replication between interconnected data centers.
Wide area networks characterized by lower bandwidth and higher latency.
Rest assured, PeerGFS is designed to be user-friendly, making installation and management a breeze.
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Stellar Repair for MSSQL
Stellar Repair for MSSQL effectively restores various components of SQL databases, including tables, triggers, indexes, and stored procedures. It is capable of retrieving deleted records from SQL database tables while also extracting data from corrupted backup files. This tool ensures that SQL databases can be restored with minimal downtime, and it can repair corrupted MDF and NDF files as well as extract data from faulty backup (.BAK) files. Furthermore, it supports multiple versions of SQL, including 2022, 2019, 2017, 2016, and earlier editions. When a database's primary filegroup is suspected to be compromised due to issues such as a missing transaction log file or corruption, it gets flagged as 'suspect.' Situations like SQL server crashes during transactions, unexpected database shutdowns, or insufficient disk space can also lead to a database being marked as suspect, rendering it inaccessible. The Stellar SQL recovery solution is instrumental in recovering databases from this suspect mode, effectively returning them to a fully functional online state. Its capability to handle such diverse issues makes it an invaluable tool for database administrators.
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Stellar Repair for MS SQL
Stellar Repair for MS SQL is an advanced software that helps administrators repair a corrupt SQL database and recover all components like tables, deleted records, keys, triggers, stored procedures, etc. The software saves non-recoverable queries, views, etc., in a text file. It shows a preview of the recoverable components and saves them in New Database, Live Database, or Other Formats (like HTML, CSV, and XLS).
The latest version 10.5.0.2 of the tool helps perform faster DB repair by allowing to save multiple tables at the same time. In addition, Fast Saving and Advanced Saving modes available in the software enables saving the repaired database as per your requirement. Fast Saving is advisable for large databases, as it performs fast DB repair by saving the repaired data first and then save indexes. Advanced Saving is the recommended mode that saves the data and indexes together.
The software saves the log report of the complete SQL database repair process to analyze the repairing process later.
Key Features:
SQL Database Recovery
Recovers All SQL Database Objects
Recovers Deleted Records from SQL Database
Faster Recovery with Parallel Processing
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