Cloud · head to head
Jaeger vs Upstash
The short version
- Each has a real cost: Jaeger tracing is only as good as the instrumentation, and partial instrumentation produces misleading gaps; Upstash hTTP-based REST API only, no TCP connections means higher latency than self-hosted or connection-pooled Redis
- They diverge on capability: Jaeger covers Distributed trace search, Upstash covers Serverless Redis.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Jaeger and Upstash actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Cloud).
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 Jaeger
- Distributed trace search
- Dependency graph
- Adaptive sampling
- Pluggable storage
Only in Upstash
- Serverless Redis
- Serverless Kafka
- QStash
- Global Replication
- REST API
- Edge Functions Support
- Rate Limiting
- Caching
What people use each for
The jobs each tool is most often brought in to do.
Jaeger
- Finding which service in a request path causes the latencynot Upstash
- Understanding real service dependencies rather than the diagram on the wikinot Upstash
- Debugging failures that only appear under production traffic patternsnot Upstash
Upstash
- Cachingnot Jaeger
- Session storagenot Jaeger
- Real-time messagingnot Jaeger
- Rate limitingnot Jaeger
- Serverless backendsnot Jaeger
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Upstash
- HTTP-based REST API only, no TCP connections means higher latency than self-hosted or connection-pooled Redis
- Rate limiting occurs when traffic exceeds configured budget cap or request limits
- Kafka service discontinued in March 2025, requiring migration to Upstash Workflow or alternatives
- Limited Redis feature support compared to self-hosted Redis or Redis Cloud
- High-request-volume workloads can accumulate significant costs due to per-request pricing model
Pricing, plan by plan
Jaeger
Free- JaegerFree
- Full functionality
- No usage limits
- Community support
Upstash
Free- FreeFree
- 256 MB data
- 500K commands per month
- 10 GB bandwidth
- Pay-as-you-go$0.2/per 100K commands
- Per-request billing
- Storage at $0.25/GB
- Unlimited commands
- Fixed Plan$10/month
- 250 MB Redis
- Predictable pricing
- Global replication available at higher tiers
Which should you pick?
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.
Choose Upstash if
- You need serverless redis.
- You want to start without paying.
- You work on REST API, Node.js, Python, Go, Rust, Vercel Edge, Cloudflare Workers, AWS Lambda.
- You also want serverless kafka.
Questions people ask
- Is Jaeger or Upstash better?
- Neither clearly leads. Jaeger starts at Free and Upstash at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Jaeger or Upstash?
- Jaeger starts at Free and Upstash at Free.
- Does Jaeger or Upstash run on more platforms?
- Jaeger runs on Linux, Kubernetes, Docker. Upstash runs on REST API, Node.js, Python, Go, Rust, Vercel Edge, Cloudflare Workers, AWS Lambda.
- Can I use Jaeger for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Jaeger best used for?
- Jaeger is most often used for finding which service in a request path causes the latency, understanding real service dependencies rather than the diagram on the wiki, debugging failures that only appear under production traffic patterns. Of those, finding which service in a request path causes the latency and understanding real service dependencies rather than the diagram on the wiki are not what Upstash is typically brought in for.
- What can Jaeger do that Upstash cannot?
- Jaeger covers Distributed trace search, Dependency graph, Adaptive sampling, Pluggable storage. Upstash covers Serverless Redis, Serverless Kafka, QStash, Global Replication.
Answered from the vendors’ own pages
Jaeger: Is Jaeger free?
Yes, open source and CNCF-graduated. Costs are the storage backend you run.
Upstash: Does Upstash have a free tier?
Yes. The free tier provides 256 MB of data and 500,000 commands per month with 10 GB of bandwidth in a single region, no credit card required.
SourceJaeger: Do I use Jaeger or OpenTelemetry?
Both, usually. Instrument with OpenTelemetry and use Jaeger to store and query the traces.
Upstash: How does Upstash work with edge platforms like Vercel and Cloudflare Workers?
Upstash uses a REST API instead of TCP connections, enabling it to work from Vercel Edge, Cloudflare Workers, and AWS Lambda without persistent connections or connection pooling.
SourceJaeger: Does Jaeger handle metrics and logs?
No. It is a tracing system. Metrics and logs need Prometheus, Loki or an equivalent.
Upstash: What programming languages are supported?
Upstash provides native SDKs for Python, Node.js, Go, and Rust. Java, C#, and PHP developers can use the REST API or community libraries.
SourceUpstash: Is Upstash Kafka still available?
No. Upstash Kafka was deprecated on September 11, 2024 and fully discontinued on March 11, 2025. Upstash Workflow is now recommended for durable serverless messaging and task queuing.
SourceUpstash: How is Upstash pricing structured?
Upstash uses per-request pricing at $0.20 per 100K commands for Redis, $0.25/GB for storage, and $0.40 per 100K requests for Vector database. Idle applications cost nothing.
SourceUpstash: Can Upstash be used with AWS Lambda?
Yes. Upstash works with AWS Lambda via its REST API, eliminating the need for connection pooling and making it ideal for stateless serverless functions.
SourceRelated pages
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