Data Deduplication Write For Us
By removing unnecessary copies of data, data deduplication is a storage optimization approach that lowers storage requirements and boosts productivity. Finding duplicate data blocks and saving just one distinct instance—replacing duplicates with pointers to the original—is how it operates.
Important features
* Storage Savings: This feature can cut storage needs for repeated data (such backups and virtual machines) by up to 90%.
* Quicker Backups: Reduces data transfer time and expedites backup procedures.
* Cost-effectiveness: Reduces the cost of hardware and cloud storage.
* Scalability: It is compatible with both block-level (partially stored data chunks) and file-level (whole files) deduplication.
Deduplication Types:
- In-Line: Data is deduplicated before being stored in real-time using inline, which uses less storage but requires more processing power.
- Post-Process: After storage, post-processing deduplicates (faster writes but temporary storage overhead).
Use cases include backup and disaster recovery (Commvault, Veeam, etc.).
- Virtualization (Hyper-V, VMware).
- AWS S3 and Azure Blob Storage with Dedupe are examples of cloud storage.
- Email servers (Office 365, Exchange).
Best Data Deduplication Tools
-
Solutions for Enterprise Backup
- Block-level backup for virtual machines (VMs) with Veeam Backup & Replication
- Commvault Full Backup (server-wide global deduplication)
- Veritas NetBackup (Dedupe based on policy)
-
AWS S3 Intelligent-Tiering (Auto-deduplication) for Cloud & Storage Systems
- Windows Server comes with Microsoft Data Deduplication built in.
- The open-source block-level dedupe ZFS file system
-
Deduplicare, an open-source tool for Linux backups
- BorgBackup (dedupe based on chunks)
-
Virtualization (Storage-level dedupe) VMware vSphere
- Hyper-V (With deduplication of ReFS)
When Should Deduplication Be Used?
- Backups: For weekly or daily backups, reduce storage.
- Optimization: Optimize VM storage through virtualization (e.g., 100 VMs with the same OS).
- Email servers: Get rid of duplicate attachments (such emails sent to the entire company).
Restrictions:
- CPU Overhead: Writes may be slowed by inline dedupe.
- Not for Encrypted Data: If data is encrypted prior to processing, Dedupe does not work.
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