Dragonfly
by Dragonfly · Redis-compatible in-memory data store with a thread-per-core architecture
BenchRank score
Screenshots of Dragonfly
Homepage
Overview
Dragonfly is a Redis-compatible in-memory data store built on a shared-nothing, thread-per-core architecture, so one instance uses every core on a machine rather than a single thread. It is sold as Dragonfly Cloud, a managed service on AWS, GCP or Azure with one-click provisioning, horizontal and vertical scaling, and a monitoring dashboard.
- Best for
- Teams running large Redis-compatible caches who want fewer nodes and lower infrastructure cost.
- Pricing
- Dragonfly Cloud starts at $36/month (Flex) and $2,000/month (Business), with on-demand memory from $8.00/GB/month plus cloud provider network charges; Enterprise is contact-sales.
- Runs on
- Self-hosted
Strengths and trade-offs
Strengths
- Thread-per-core design uses every core on a machine
- Redis-compatible, so client code needs no changes
- Managed on AWS, GCP or Azure with one-click provisioning
- Per-GB rates published, with a pricing calculator
Trade-offs
- SSO, MFA and a custom SLA start at the $2,000/month Business tier
- Cost scales with memory: $8.00/GB/month plus cloud network charges
- Enterprise tier pricing is undisclosed and needs a sales conversation
- Performance and cost claims come from Dragonfly's own benchmarks
How Dragonfly markets itself
A structured read of the promise, proof and page design on Dragonfly’s captured homepage.
Homepage capture
“Real-time data infrastructure that does more.”
- Angle: Contrarian / anti-incumbent
- Hero: Data-viz hero
Pricing
Published plans and prices from Dragonfly’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Dragonfly pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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