Commvault unveils Clumio Backtrack to speed DynamoDB recovery
Amazon DynamoDB is widely used in the development of large-scale, high-performance applications, including real-time personalisation engines, eCommerce platforms, mobile applications, and AI-driven services. The database is noted for its scalability and low-latency operations, which are critical to cloud-first development teams. However, the nature of DynamoDB's architecture has made recovering data - especially granular or point-in-time recoveries - challenging for organisations operating at scale.
Current recovery processes often require teams to restore an entire table, followed by copying the impacted items back and then deleting the new table to control operational and storage costs. This process is resource-intensive and can result in significant downtime, especially for organisations with tables consisting of billions of records or data sets reaching into the terabytes.
Near-instant rollback
Clumio Backtrack for DynamoDB has been developed to address these challenges. According to Commvault, the solution enables near-instant rollback to a prior point in time for existing DynamoDB tables, with no reconfiguration required. This functionality allows recovery at the partition level, rather than necessitating a full-table restore, helping to reduce both recovery times and associated costs.
The solution is based on an "incremental forever" backup model, which is intended to enable faster, more precise recovery operations. Commvault states that this approach can lower total cost of ownership when compared to native recovery options, which typically only support full backups. "Organisations are building their next-generation cloud and AI applications on DynamoDB," said Woon Jung, Chief Technology Officer, Cloud Native at Commvault. "Clumio Backtrack removes the friction and risk from database recovery. Now, teams can roll back or restore their data in minutes, not days, and without needing to perform complex, multi-step manual recoveries. This is another example of Commvault leading the charge in resilience and recovery."
The increasing importance of data resilience and availability is evident as organisations rely more heavily on cloud-native databases like DynamoDB. The addition of granular, point-in-time recovery is seen as a significant development in supporting agile software development and AI-driven workloads. "Amazon DynamoDB remains a critical cloud-native NoSQL database in production, thanks to major improvements across consistency, cost and performance. Amid rising data resilience and availability imperatives, precise, point-in-time recovery for DynamoDB is a significant advancement. This granular control reduces downtime, risks and operational costs, key needs for agile development and AI-driven applications," said Archana Venkatraman, Senior Research Director, Cloud Data Management at IDC.
Recent product evolution
Clumio Backtrack for DynamoDB follows the earlier release of Clumio Backtrack for Amazon Simple Storage Service (S3). The S3 solution enables enterprises to automate the rollback of objects or specific data pieces to defined versions based on a specific point in time. Commvault notes that with the introduction of DynamoDB support, AWS customers can benefit from increased flexibility and speed in recovery operations, aimed at reducing service disruption and operational risk.
Availability and pricing
Clumio Backtrack for DynamoDB is now available internationally through the AWS Marketplace, with pricing structured on a consumption basis.
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