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TinaAtempo

Tina is an enterprise solution for backup and recovery, supporting physical and virtual systems, applications, and file data.

Vendor

Vendor

Atempo

Company Website

Company Website

DATASHEET_en_DA…VIEW-27-02-2023.pdf
DATASHEET_…27-02-2023.pdf
Product details

Tina by Atempo is an advanced enterprise solution for backup and recovery, designed to protect physical servers, virtual machines, emails, and cloud files. It offers a unique restore approach that supports both physical and virtual environments, ensuring comprehensive data protection. Tina is easy to use and scalable, providing a centralized interface for managing backups and recoveries across diverse IT infrastructures.

Features

  • Wide Platform Support: Compatible with all major operating systems, file systems, and critical applications.
  • Central Dashboard: Simplifies supervision processes for all servers, VMs, applications, databases, and Office365.
  • Time Navigation: Allows users to recover lost files even if the name or location is forgotten.
  • Global Deduplication: Optimizes storage and backup durations with hardware-independent deduplication.
  • Shorter Backup Windows: Ensures efficient data storage and minimizes network bandwidth constraints.
  • Air-Tight Backup: Protects against data breaches, crypto-viruses, and ransomware attacks.
  • Rapid Restoration: Provides quick recovery for lost data, applications, systems, or entire IT infrastructures.

Benefits

  • Stress-Free Data Recovery: Ensures reliable recovery from any storage, minimizing downtime.
  • Efficient Storage Management: Reduces storage burden with effective deduplication and optimized backup windows.
  • Cybercrime Protection: Offers robust defense against cyberattacks, ensuring data security.
  • Legacy Platform Support: Continues to protect legacy platforms, ensuring business continuity.
  • User-Friendly Interface: Provides an intuitive and centralized interface for managing backups and recoveries.
  • Scalability: Suitable for large-scale enterprise environments, handling extensive data volumes.