What Is Continuous Data Protection (CDP)?

Continuous data protection (CDP) records changes to protected data as they occur, creating a sequence of recovery points that can be used to restore information to a highly specific moment in time. 

Unlike scheduled backup processes that create recovery points at predefined intervals, CDP tracks ongoing data modifications and preserves those changes as they happen. This approach reduces the interval between recovery points and decreases exposure to data loss. 

Modern CDP implementations commonly operate at the block level, capturing only modified data rather than repeatedly copying entire files or systems. This method can improve storage efficiency while supporting recovery objectives (RPOs) measured in minutes or seconds. 

CDP is often used for workloads with strict recovery requirements, including databases, ERP platforms, financial systems, and healthcare applications where data changes frequently and recovery precision is important. Recovery operations can typically select a specific point in the recorded change history rather than being limited to scheduled backup intervals. 

Many enterprise platforms combine CDP with replication, immutable storage, automated failover, and disaster recovery workflows as part of a broader data resilience strategy. Despite these capabilities, CDP is generally used alongside traditional backup methods that provide long-term retention and archival recovery points.  

Why Continuous Data Protection Matters

Continuous data protection supports highly granular recovery by preserving changes as they occur, enabling organizations to recover data with minimal loss between protection events.

Related Terms

• Recovery Point Objective
• Replication
• Snapshot
• Disaster Recovery
• Backup
• Cyber Resilience