SSD Data Tiering is now on Dragonfly Cloud

Dragonfly Cloud has introduced SSD Data Tiering for AWS and GCP, enabling workloads to extend effective data capacity up to eight times beyond available RAM by retaining frequently accessed values in memory and asynchronously offloading colder values to local SSDs without application changes. The company says the feature can reduce memory-related costs by up to 80% and reports June 2026 benchmarks in which Dragonfly outperformed Amazon ElastiCache data tiering on matched local-SSD hardware, particularly for reads, which it attributes to parallel asynchronous SSD reads rather than RAM-promotion queues. Meesho, an e-commerce platform using a 300GB cache workload, reported 20–25% lower latency and roughly 70% cost savings after adopting the feature. Tiered capacity is priced at 1.5 times Dragonfly Cloud’s standard RAM rate while including SSD capacity, and is available for qualifying Flex and Business plans on enhanced and extreme datastores. The feature currently supports string values, with lists and small hashes planned, and is positioned for memory-bound uses such as feature stores, job queues, and large read-mostly caches.

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