Can Clumio Backtrack restore DynamoDB tables to points in time between scheduled backups?

Yes, Clumio Backtrack supports point-in-time restore capabilities that allow you to select custom restore points, even if they fall between scheduled secure vault backups, enabling recovery to the exact moment before data corruption occurred.

Does restoring a DynamoDB table with Clumio Backtrack overwrite the existing data?

Yes, when performing an in-place restore, Clumio overwrites the current table data with the selected point-in-time snapshot. The system provides a warning before proceeding to ensure you understand the data will be replaced.

Point-in-Time Recovery for DynamoDB with Clumio Backtrack

Name: Point-in-Time Recovery for DynamoDB with Clumio Backtrack
Uploaded: 2026-05-12T20:28:02-04:00
Duration: 2 min 18 s
Description: Your applications depend on your DynamoDB tables being available and correct. This demo features Clumio's Backtrack for DynamoDB, a game-changing feature for rapid, point-in-time recovery. See how you can instantly restore a corrupted or deleted table...

Commvault

05/12/2026

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TL;DR

Clumio Backtrack enables in-place, point-in-time recovery of full DynamoDB tables or specific partitions to restore corrupted or deleted data to a consistent state.
The demo shows restoring a missing inventory item by selecting a custom restore point from the previous day, with the recovery process tracked through the Clumio Tasks interface.
Point-in-time recovery capabilities minimize business disruption and RTO by quickly addressing data corruption from security threats or user error while maintaining data integrity.

Summary

This demonstration showcases Clumio Backtrack for Amazon DynamoDB, a point-in-time recovery solution designed to restore corrupted or tampered database tables to a consistent state. The walkthrough simulates a real-world scenario where a critical inventory item (INV001) has been deleted from a DynamoDB table, requiring restoration to a previous known-good state. The demo illustrates the complete recovery workflow, from identifying the missing data in the AWS console to initiating an in-place restore through the Clumio interface. By selecting a custom restore point from the previous day, the system overwrites the current table state and successfully recovers the missing inventory record, demonstrating how organizations can quickly address data corruption from security threats or user error. The approach emphasizes minimizing Recovery Time Objective (RTO) and business disruption while maintaining data integrity, enabling applications to continue serving customers with minimal downtime during recovery operations.

Chapters

0:00 - Introduction to Clumio Backtrack
0:26 - Identifying Missing Data in DynamoDB
0:46 - Initiating Restore in Clumio
1:26 - Verifying Successful Recovery

Key Quotes

0:04 "Clumio Backtrack for Amazon DynamoDB offers powerful, in-place, point-in-time recovery of full tables or specific partitions within tables."
1:55 "With Clumio's point-in-time recovery capabilities, we can quickly recover our DynamoDB tables from tampering due to security threats or plain old user error."
2:03 "This approach minimizes business disruption while ensuring data integrity, allowing you to address data corruption issues quickly and efficiently so your applications can continue serving customers with minimal downtime."

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