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Enterprise Vault is a content-archiving solution that enables organizations to store, effectively manage and easily discover and retrieve unstructured data from multiple sources, such as email, instant messaging, social media, SharePoint® and file servers. Caringo Swarm fully integrates with Enterprise Vault 11 via Symantec’s Storage Streamer API to provide joint customers a centralized email and data archiving solution that is cost effective, reliable and massively scalable.
Caringo Swarm is the ideal long-term storage solution for the most stringent corporate and government use cases. The company’s pure object-storage approach means that data is stored as a whole with metadata that includes customizable lifecycle policies, access policies and content integrity seals, ensuring the information chain of custody. The combination of Swarm and Enterprise Vault offers organizations the following key business benefits:
• Reduce storage TCO through efficient storing of large quantities of unstructured data
• Centralize information for fast and efficient searches
• Automate the entire data access lifecycle via secure policy-based retention, replication, distribution and deletion
Caringo’s replication and erasure coding further ensures that data is continuously and effortlessly protected based on the method that best fits business, retention or SLA requirements. By deeply integrating this functionality with Enterprise Vault, customers are able to set up multiple sites to replicate data for high-availability or disaster-recovery purposes. Swarm’s replication abilities integrate with Enterprise Vault’s storage Safety Copy functionality to ensure full redundancy for data that has been archived by Enterprise Vault.
“The need for long-term retention of unstructured data for legal and regulatory purposes continues to climb,” said Tony Barbagallo, Caringo’s VP of Product. “As the only software-defined object storage solution for Enterprise Vault, Caringo has joined Symantec in ensuring that customers can discover information efficiently and delete data confidently in a cost-effective way that is reliable and massively scalable.”
