Dragonfly

High-performance Redis-compatible in-memory datastore with 25x better throughput

Overview

What Dragonfly does

Dragonfly is a high-performance in-memory datastore designed as a Redis and Memcached compatible alternative. Built on a novel thread-per-core architecture with new algorithms and data structures, Dragonfly achieves 25 times higher queries per second than Redis (3.97M QPS versus 718K) while using 30% less memory. The platform maintains full API compatibility with Redis and Memcached, allowing existing applications to migrate with minimal code changes. Dragonfly is optimized for low-latency caching, real-time feature serving for machine learning applications, concurrency-safe message queues with high throughput, and real-time leaderboards. The platform supports caching workloads up to 1TB with 1M peak throughput per instance. Dragonfly Cloud is a managed service offering serverless deployment with auto-scaling, while Community Edition is available as open source.

What people use it for

High-throughput caching for web applications
Real-time leaderboards and rankings
Message queue and event processing
ML model feature serving at millisecond latencies
Gaming session state and player data storage

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Dragonfly.

Flex tier starting at $36/month may be underpriced, requiring careful usage monitoring
Business tier $2,000/month represents significant jump in cost
Limited to in-memory storage, not suitable for cold data or archival
Bring-your-own-cloud requirement on Business tier adds operational complexity
Cloud availability dependent on AWS/GCP/Azure uptime

Cross-shopped

What people choose instead of Dragonfly

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

Dragonflyvs
Redis
Redis: Traditional open-source in-memory datastore, significantly slower but more established ecosystem
Dragonflyvs
Memcached
Memcached: Lightweight in-memory cache, simpler but less feature-rich than Dragonfly
Dragonflyvs
Valkey
Valkey: Redis fork offering similar compatibility but different architecture and governance

Pricing

What Dragonfly costs

Taken from the vendor's own pricing page. Prices move, so check before you buy.

Free Tier

Free

100 cloud credits for new signups
Equivalent to free trial

Business

$2,000 /mo

Starting price for enterprise offering
Bring-your-own-cloud deployment
Auto-scaling with custom SLAs
SSO and MFA support
Dedicated support

Enterprise

On request

Custom pricing
Any-cloud deployment
Custom instances and sizing
White-glove migration support
Advanced security and compliance
Premium support

Capabilities

Features

Redis API compatibility
Full API compatibility for drop-in migration
Thread-per-core architecture
Novel multi-threaded design for massive throughput
High-performance caching
25x higher QPS than Redis with low latency
Memory efficiency
30% better memory efficiency than Redis
Real-time leaderboards
Sorted sets for gaming and ranking applications
Message queue support
Concurrency-safe queues with high throughput
ML feature serving
Low-latency feature store for real-time ML models
Cloud deployment
Managed Dragonfly Cloud with auto-scaling

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

How much faster is Dragonfly than Redis?

Dragonfly achieves 3.97M queries per second compared to Redis's 718K QPS, representing a 25x improvement. Memory efficiency is also 30% better.

Source

Can I migrate from Redis to Dragonfly without code changes?

Yes. Dragonfly maintains full API compatibility with Redis and Memcached, allowing drop-in replacement with minimal to no code modifications.

Source

Keep looking

Where to go from Dragonfly

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Softwr does not host reviews and shows no star rating for Dragonfly, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

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