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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Comet Backup
Start running backups and restores in less than 15 minutes! Comet is a fast, secure all-in-one backup platform for businesses and IT providers. You control your backup environment and storage destination (local, Wasabi, AWS, Google Cloud Storage, Azure, Backblaze, or other S3 storage providers).
Our software supports businesses across 120 countries in 13 languages.
Test drive Comet Backup with a 30-day FREE trial!
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EaseUS MS SQL Recovery
Advanced database repair solutions designed for enterprise settings effectively mend damaged MDF and NDF SQL Server databases, addressing a wide array of SQL database issues. This software proficiently recovers essential database elements such as tables, triggers, indexes, keys, rules, and stored procedures, while also allowing for the deletion of records from the SQL database. It accommodates various versions of MS SQL Server, including 2019, 2017, 2016, 2014, 2012, 2008, and even earlier iterations. When corruption occurs, it typically impacts both primary data (.mdf) and secondary data files (.ndf), but this tool thoroughly scans, identifies, and rectifies affected data files, ensuring that the database is returned to full functionality. Additionally, issues stemming from a corrupted transaction log file (.ldf) can lead to numerous database errors, but EaseUS MS SQL Recovery automatically repairs the damaged log file alongside the rest of the database. After completion, the restored transaction log is conveniently saved in the same directory as the other recovered components, ensuring a seamless recovery process. This comprehensive approach to database repair enhances operational reliability and minimizes downtime for enterprises.
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RecoveryTools for SQL Server
Highly regarded SQL database recovery software endorsed by database administrators globally is designed to mend SQL Server databases efficiently. This software is capable of scanning and repairing corrupted primary MDF files and secondary NDF files, ensuring all associated objects are restored. Furthermore, it recovers all data from tables, views, stored procedures, rules, and triggers. In cases where a SQL Server database suffers irreparable damage, restoring from a recent backup is an option. Nonetheless, challenges arise when an object-level recovery is required rather than a complete database restore. Issues such as corruption in the file system, driver malfunctions, hardware failures, SQL Server engine complications, or page-level memory corruption can cause the checks conducted by Microsoft SQL Server DBCC CHECKDB to fail. Additionally, if a ransomware attack targets the SQL Server database file, it can lead to encryption with a .wallet file extension, rendering the file unusable and creating significant recovery challenges. In such scenarios, recovery software becomes indispensable for salvaging vital data.
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