Can I define retention policies for different types of archived data in Vaultastic?
Yes, Vaultastic allows you to define and customize retention policies for different types of archived data, such as emails/chats, files, and SaaS data. Administrators can set retention durations based on organizational needs, industry standards, or regulatory requirements. These policies can vary depending on the department, user role, or data classification. For instance, information critical for […]
How does Vaultastic handle aging data to optimize storage and costs?
Vaultastic uses storage tiering to handle aging data efficiently and reduce costs. Fresh and frequently accessed data is stored in the Active Store, where it remains search-ready for rapid access. As the data ages and its access frequency declines, Vaultastic automatically transitions it to the Open Store or Deep Store, which are optimized for long-term […]
Is it possible to move data between storage tiers in Vaultastic as it ages?
Yes, Vaultastic enables seamless movement of data between storage tiers as part of its automated data lifecycle management. Data starts in the Active Store, where it is indexed for fast searches and frequent access. As data ages and becomes infrequently accessed, it is automatically moved to lower-cost storage tiers like the Open Store or Deep […]
How does Vaultastic ensure compliance with data retention and deletion regulations during the data lifecycle?
Vaultastic ensures compliance with data retention and deletion regulations by offering configurable automated retention policies and secure deletion mechanisms. Administrators can define retention periods based on regulatory requirements, ensuring that data is preserved for the mandated duration and securely deleted thereafter. Vaultastic’s legal hold feature exempts specific user vaults from deletion policies when required for […]
My data size is enormous and is continually growing. How does Vaultastic preserve such large volumes of data without a proportional increase in cost?
Vaultastic effectively manages large and growing volumes of data by utilizing storage tiering. Recent, frequently accessed emails are stored in the Active (hot) store, while older, less-used emails are moved to the Open (warm) store or Deep (cold) store. This approach optimizes costs, reducing long-term data retention expenses by up to 60%. For large data […]
Do I need data lifecycle management if I already use a backup tool?
Yes, even if you use a backup tool, you still need data lifecycle management. A backup tool creates point-in-time snapshots for recovery from corruption or data loss but does not offer the comprehensive capabilities of an enterprise information archival system. Archiving ensures that 100% of your data is protected in a search-ready form. Data lifecycle […]