DragonflyDB vs RocksDB
No clear leader: RocksDB (61.0) and DragonflyDB (57.5) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for key-value stores. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
DragonflyDB
An in-memory data store delivering significantly higher throughput and memory efficiency than Redis through multi-threaded architecture, enabling cost-effective scaling with fewer infrastructure resources.
RocksDB
An embeddable C++ database library optimized for high-performance storage and retrieval on flash drives and RAM, supporting workloads from application caching to multi-terabyte data storage with configurable write and read performance tradeoffs.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
DragonflyDB
From $8/GB/month (Flex), $2,000+/month (Business). Free trial with $100 credits.
- Flex$8/GB/month, starting at $36/month
- Fully-managed on AWS, GCP, or Azure
- One-click provisioning
- Horizontal + vertical scaling
- Monitoring dashboard
- Dragonfly team support
- BusinessStarting at $2,000/month
- Bring your own cloud
- Auto-scaling
- SSO & MFA
- Custom SLA
- Dedicated support
- EnterpriseContact sales
- Run anywhere
- Custom instance types
- White-glove migrations and tuning
- Advanced security & compliance
- Enterprise SLA & premium support
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
DragonflyDB
- GCP Marketplace
- AWS
- Google Cloud Platform
- Feast
- Airbyte
- PostgreSQL
RocksDB
Not documented yet.
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.