Databases · head to head
Dragonfly vs QuestDB

Dragonfly
Databases
High-performance Redis-compatible in-memory datastore with 25x better throughput
- From
- Free
- Rated
- -

QuestDB
Databases
Fast open source time-series database for high throughput ingestion
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Dragonfly flex tier starting at $36/month may be underpriced, requiring careful usage monitoring; QuestDB open-source edition lacks high-availability, distributed architecture, and enterprise security features
- They diverge on capability: Dragonfly covers Redis API compatibility, QuestDB covers High Throughput Ingestion.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Dragonfly and QuestDB actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Dragonfly
- Redis API compatibility
- Thread-per-core architecture
- High-performance caching
- Memory efficiency
- Real-time leaderboards
- Message queue support
- ML feature serving
- Cloud deployment
Only in QuestDB
- High Throughput Ingestion
- SQL Support
- Time-series Optimization
- SIMD Vectorization
- Column-oriented Storage
- Built-in Web Console
- InfluxDB Line Protocol
- PostgreSQL
What people use each for
The jobs each tool is most often brought in to do.
Dragonfly
- High-throughput caching for web applicationsnot QuestDB
- Real-time leaderboards and rankingsnot QuestDB
- Message queue and event processingnot QuestDB
- ML model feature serving at millisecond latenciesnot QuestDB
- Gaming session state and player data storagenot QuestDB
QuestDB
- Time-series analytics ingesting up to 20M rows/second from IoT sensors or financial data feedsnot Dragonfly
- Real-time dashboarding with 32ms time-to-first-row latency for minute-level analyticsnot Dragonfly
- Applications requiring multi-tier storage (hot ingest, real-time SQL, cold Parquet archive)not Dragonfly
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
QuestDB
- Open-source edition lacks high-availability, distributed architecture, and enterprise security features
- Enterprise edition pricing not published; requires contacting sales for custom quote
- Ingestion limit of 20M rows/sec platform-dependent; may not scale to extreme throughput requirements
Pricing, plan by plan
Dragonfly
Free- Free TierFree
- 100 cloud credits for new signups
- Equivalent to free trial
- Business$2000/month
- Starting price for enterprise offering
- Bring-your-own-cloud deployment
- Auto-scaling with custom SLAs
- Enterprise$undefined/custom
- Custom pricing
- Any-cloud deployment
- Custom instances and sizing
QuestDB
FreeNo published plan breakdown. See the QuestDB review.
Which should you pick?
Choose Dragonfly if
- You need redis api compatibility.
- You want to start without paying.
- You work on Cloud, AWS, GCP, Azure.
- You also want thread-per-core architecture.
Choose QuestDB if
- You need high throughput ingestion.
- You want to start without paying.
- You work on Docker, Kubernetes, Cloud (AWS, Azure, GCP).
- You also want sql support.
Questions people ask
- Is Dragonfly or QuestDB better?
- Neither clearly leads. Dragonfly starts at Free and QuestDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dragonfly or QuestDB?
- Dragonfly starts at Free and QuestDB at Free.
- Does Dragonfly or QuestDB run on more platforms?
- Dragonfly runs on Cloud, AWS, GCP, Azure. QuestDB runs on Docker, Kubernetes, Cloud (AWS, Azure, GCP).
- Can I use Dragonfly for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Dragonfly best used for?
- Dragonfly is most often used for high-throughput caching for web applications, real-time leaderboards and rankings, message queue and event processing, ml model feature serving at millisecond latencies. Of those, high-throughput caching for web applications and real-time leaderboards and rankings are not what QuestDB is typically brought in for.
- What can Dragonfly do that QuestDB cannot?
- Dragonfly covers Redis API compatibility, Thread-per-core architecture, High-performance caching, Memory efficiency. QuestDB covers High Throughput Ingestion, SQL Support, Time-series Optimization, SIMD Vectorization.
Answered from the vendors’ own pages
Dragonfly: 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.
SourceQuestDB: How much does QuestDB Enterprise cost?
QuestDB does not publish specific pricing for the Enterprise tier. Customers must contact QuestDB via their enterprise contact form to receive a custom quote.
SourceDragonfly: 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.
SourceQuestDB: Does QuestDB offer a free version?
Yes, QuestDB Open Source is completely free and recommended for evaluation, prototyping, and pilot projects. Enterprise features, high availability, security, and dedicated support require the paid Enterprise tier.
SourceQuestDB: What deployment options does QuestDB offer?
QuestDB offers open source deployment, Enterprise deployment, and Bring Your Own Cloud (BYOC) deployment. Pricing details for BYOC and Enterprise tiers are not published and require direct contact with sales.
SourceRelated pages
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