Databases · head to head
Dragonfly vs TimescaleDB

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

TimescaleDB
Databases
Time-series database built on PostgreSQL for real-time analytics
- 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; TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
- They diverge on capability: Dragonfly covers Redis API compatibility, TimescaleDB covers Time-series Optimization.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Dragonfly and TimescaleDB actually diverge.
| Attribute | Dragonfly | TimescaleDB |
|---|---|---|
| Pricing model | Usage-based cloud pricing with flexible tiers | Unknown |
| Platforms | Cloud, AWS, GCP, Azure | Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure) |
| Founded | Unknown | 2012 |
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 TimescaleDB
- Time-series Optimization
- PostgreSQL Extension
- Automatic Partitioning
- Continuous Aggregates
- Native Compression
- Full SQL Support
- Real-time Analytics
- PostgreSQL
What people use each for
The jobs each tool is most often brought in to do.
Dragonfly
- High-throughput caching for web applicationsnot TimescaleDB
- Real-time leaderboards and rankingsnot TimescaleDB
- Message queue and event processingnot TimescaleDB
- ML model feature serving at millisecond latenciesnot TimescaleDB
- Gaming session state and player data storagenot TimescaleDB
TimescaleDB
- Monitoringnot Dragonfly
- IoT datanot Dragonfly
- Financial datanot Dragonfly
- Log analyticsnot Dragonfly
- Observabilitynot 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
TimescaleDB
- Inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
- Operational complexity increases significantly at scale, requiring expertise in chunk tuning and autovacuum management
- Bloom filter indexes on compressed columns can return incorrect query results before upgrade
- PostgreSQL 15 support ending June 2026, forcing mandatory upgrades to PostgreSQL 16 or later
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
TimescaleDB
Free- Open SourceFree
- Self-hosted TimescaleDB
- MIT-licensed core
- Full PostgreSQL compatibility
- Scale Plan (Cloud)$36/month
- Compute and storage charges
- Multi-node HA
- Unlimited VPCs
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 TimescaleDB if
- You need time-series optimization.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
- You also want postgresql extension.
Questions people ask
- Is Dragonfly or TimescaleDB better?
- Neither clearly leads. Dragonfly starts at Free and TimescaleDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dragonfly or TimescaleDB?
- Dragonfly starts at Free and TimescaleDB at Free.
- Does Dragonfly or TimescaleDB run on more platforms?
- Dragonfly runs on Cloud, AWS, GCP, Azure. TimescaleDB runs on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
- 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 TimescaleDB is typically brought in for.
- What can Dragonfly do that TimescaleDB cannot?
- Dragonfly covers Redis API compatibility, Thread-per-core architecture, High-performance caching, Memory efficiency. TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates.
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.
SourceTimescaleDB: Is TimescaleDB free?
Yes. TimescaleDB is free and open source under the Timescale License. The managed cloud service offers a free trial with $1,000 in credits expiring in 30 days.
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.
SourceTimescaleDB: What database does TimescaleDB run on top of?
TimescaleDB is a PostgreSQL extension that runs on top of PostgreSQL. You retain full PostgreSQL compatibility including SQL queries, transactions, and ecosystem tools.
SourceTimescaleDB: How much can TimescaleDB compress data?
TimescaleDB offers transparent columnar compression that can reduce storage by up to 95%. Newer data remains in row-oriented format for fast writes, while older data is automatically compressed to the column store.
SourceTimescaleDB: Does TimescaleDB require manual partitioning?
No. TimescaleDB handles automatic time-based partitioning through hypertables. Data is automatically chunked based on time intervals, requiring no manual partition management.
SourceTimescaleDB: What PostgreSQL versions does TimescaleDB support?
As of October 2025, TimescaleDB requires PostgreSQL 16 or greater. PostgreSQL 15 support will end with the June 2026 release, after which all instances must upgrade to PostgreSQL 16.
SourceRelated pages
More on TimescaleDB
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