Softwr

Databases · head to head

Dragonfly vs Jaeger

Dragonfly logo

Dragonfly

Databases

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

From
Free
Rated
-
Full reviewWebsite
Jaeger logo

Jaeger

Cloud

Open-source end-to-end distributed tracing

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Dragonfly flex tier starting at $36/month may be underpriced, requiring careful usage monitoring; Jaeger tracing is only as good as the instrumentation, and partial instrumentation produces misleading gaps
  • They diverge on capability: Dragonfly covers Redis API compatibility, Jaeger covers Distributed trace search.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which Dragonfly and Jaeger actually diverge.

Attributes where Dragonfly and Jaeger differ
AttributeDragonflyJaeger
Pricing modelUsage-based cloud pricing with flexible tiersOpen source, no licence fee
PlatformsCloud, AWS, GCP, AzureLinux, Kubernetes, Docker
CategoryDatabasesCloud

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 Jaeger

  • Distributed trace search
  • Dependency graph
  • Adaptive sampling
  • Pluggable storage

What people use each for

The jobs each tool is most often brought in to do.

Dragonfly

  • High-throughput caching for web applicationsnot Jaeger
  • Real-time leaderboards and rankingsnot Jaeger
  • Message queue and event processingnot Jaeger
  • ML model feature serving at millisecond latenciesnot Jaeger
  • Gaming session state and player data storagenot Jaeger

Jaeger

  • Finding which service in a request path causes the latencynot Dragonfly
  • Understanding real service dependencies rather than the diagram on the wikinot Dragonfly
  • Debugging failures that only appear under production traffic patternsnot 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

Jaeger

  • Tracing is only as good as the instrumentation, and partial instrumentation produces misleading gaps
  • Storage is the real operational cost: high-volume tracing on Elasticsearch or Cassandra is a cluster to run and pay for
  • Traces alone, without correlated metrics and logs, leave you switching between tools during an incident

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

Jaeger

Free
  • JaegerFree
    • Full functionality
    • No usage limits
    • Community support

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.
Dragonfly review

Choose Jaeger if

  • You need distributed trace search.
  • You want to start without paying.
  • You work on Linux, Kubernetes, Docker.
  • You also want dependency graph.
Jaeger review

Questions people ask

Is Dragonfly or Jaeger better?
Neither clearly leads. Dragonfly starts at Free and Jaeger at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dragonfly or Jaeger?
Dragonfly starts at Free and Jaeger at Free.
Does Dragonfly or Jaeger run on more platforms?
Dragonfly runs on Cloud, AWS, GCP, Azure. Jaeger runs on Linux, Kubernetes, Docker.
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 Jaeger is typically brought in for.
What can Dragonfly do that Jaeger cannot?
Dragonfly covers Redis API compatibility, Thread-per-core architecture, High-performance caching, Memory efficiency. Jaeger covers Distributed trace search, Dependency graph, Adaptive sampling, Pluggable storage.

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.

Source
Jaeger: Is Jaeger free?

Yes, open source and CNCF-graduated. Costs are the storage backend you run.

Dragonfly: 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
Jaeger: Do I use Jaeger or OpenTelemetry?

Both, usually. Instrument with OpenTelemetry and use Jaeger to store and query the traces.

Jaeger: Does Jaeger handle metrics and logs?

No. It is a tracing system. Metrics and logs need Prometheus, Loki or an equivalent.

Share

Related pages

More on Dragonfly

More on Jaeger

Keep looking

Other head to heads