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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Transcript

Clumio Backtrack for Amazon DynamoDB offers powerful, in-place, point-in-time recovery of full tables or specific partitions within tables. If a DynamoDB table has been corrupted or tampered with, you can leverage Clumio's recovery capabilities to recover your data back to a consistent state. In this demo, let's simulate restoring a critical DynamoDB table with Clumio Backtrack for Amazon DynamoDB. Starting in Amazon DynamoDB, click on the Inventory List table. Click Explore Table Items. Notice that in our Inventory List table, the Inventory ID INV001 does not exist. We don't know what product it was or how many we had in stock. So we have to restore this table back to a good previous state when that inventory item existed. Let's head to Clumio to start our restore. In Clumio, we go to Restore, DynamoDB Tables, and browse our inventory. And here's our Inventory List table. It looks like the last secure vault backup was an hour ago, but we need to restore to even before that, when the inventory item still existed. Since today is the 11th of July, we'll go one day back to the 10th. We'll select Restore DynamoDB Table, choose Custom, and we'll do an in-place restore. We get a warning saying that our data will be overwritten. And then if you notice under Configurations, we have point-in-time restore enabled. And we're restoring our table to 12 a.m. on July 10th. If everything looks good, click Restore. Our restore will start, and we can track its progress under Tasks. And after some time, the restore is finished. And now we can go back into AWS to make sure that our table data looks correct. Click on Inventory List, Explore Table Items, and if you scroll down, it looks like Inventory ID 001 is back, the product was a motherboard, and we have 100 in stock. Now if we scroll down, notice that our INV001 Inventory ID primary key is back. It shows we have 100 motherboards in stock in our Sacramento warehouse. 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. 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. Thanks for watching.

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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