Commvault Launches Clumio Backtrack for DynamoDB with Instant Rollback and Granular Recovery

Commvault has announced the general availability of Clumio Backtrack for Amazon DynamoDB, a solution that provides near-instant rollback and granular recovery for DynamoDB workloads. This offering aims to improve data recovery for cloud-native NoSQL databases, particularly for high-scale applications such as real-time personalization engines, e-commerce platforms, mobile apps, and AI-driven services. Clumio Backtrack enables developers and cloud architects to recover data with agility and precision, even in complex table structures.

Commvault has announced the general availability of Clumio Backtrack for Amazon DynamoDB, a solution designed to provide near-instant rollback and granular recovery for DynamoDB workloads. This offering aims to improve data recovery for cloud-native NoSQL databases, particularly for high-scale applications such as real-time personalization engines, e-commerce platforms, mobile apps, and AI-driven services. Clumio Backtrack enables developers and cloud architects to recover data with agility and precision, even in complex table structures.

The new solution allows organizations to revert DynamoDB tables to previous points in time without reconfiguration and recover individual partitions instead of entire tables. This innovative approach, combined with an "incremental forever" backup model, aims to reduce recovery times, operational costs, and Total Cost of Ownership (TCO) compared to traditional methods [1].

Clumio Backtrack for DynamoDB is now available globally through AWS Marketplace with consumption-based pricing. This aligns with modern cloud economics, making it especially attractive for organizations with large, dynamic DynamoDB workloads. The solution builds strategically on Commvault's earlier Clumio Backtrack for Amazon S3 offering, establishing a broader portfolio of specialized recovery tools for AWS environments [1].

The technical differentiation of Clumio Backtrack lies in its ability to perform near-instant rollbacks of specific partitions without requiring new table creation or complex manual steps. Traditional DynamoDB recovery methods force teams to restore entire tables, even when only specific partitions are affected, creating inefficiencies for large-scale deployments with terabytes of data. The cost-efficiency approach using an "incremental forever" backup model can lower TCO compared to native options [1].

Commvault's release of Clumio Backtrack for Amazon DynamoDB represents a significant innovation in cloud database recovery technology. This solution addresses a critical pain point for organizations using DynamoDB, one of the most widely deployed NoSQL databases for high-performance applications including AI services, e-commerce platforms, and real-time systems [1].

The market for cloud databases is rapidly evolving, with a growing demand for solutions that offer scalability, ease of integration, performance, data security, and cost-effectiveness. In 2025, cloud database platforms have evolved to support various use cases, ranging from small-scale applications to large, enterprise-level data systems. These platforms provide diverse options, including relational, NoSQL, and hybrid databases, each offering unique advantages for businesses depending on their needs [2].

The launch of Clumio Backtrack for DynamoDB positions Commvault advantageously in the cloud data protection market, addressing critical recovery scenarios for mission-critical databases supporting AI applications and high-performance systems.

References:
[1] https://www.stocktitan.net/news/CVLT/commvault-unveils-clumio-backtrack-for-amazon-dynamo-db-reshaping-cbnbpc030q5i.html
[2] https://www.devopsschool.com/blog/top-10-cloud-database-platforms-in-2025-features-pros-cons-comparison/