Logging · head to head
Traceloop vs Valkey

Traceloop
Logging
LLM reliability platform with open-source observability and evaluation
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Traceloop free tier limited to 50k spans per month and 24-hour retention, restricting production use; Valkey younger project, so its track record is short even though the codebase is not
- They diverge on capability: Traceloop covers Open-source SDK (OpenLLMetry), Valkey covers Redis-compatible.
- Prices and features above were last checked on 29 August 2026.
Where they differ
Only the attributes on which Traceloop and Valkey actually diverge.
| Attribute | Traceloop | Valkey |
|---|---|---|
| Pricing model | Freemium with pay-as-you-go enterprise option | Open source, no licence fee; managed cloud billed separately |
| Platforms | Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby | Linux, macOS, Docker, Self-hosted |
| Category | Logging | Databases |
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 Traceloop
- Open-source SDK (OpenLLMetry)
- Multi-provider support
- Observability platform integration
- Framework support
- Monitoring dashboard
- Evaluation system
- Deployment flexibility
Only in Valkey
- Redis-compatible
- BSD licensed
- Rich data structures
- Replication and persistence
What people use each for
The jobs each tool is most often brought in to do.
Traceloop
- Monitoring LLM application performance in productionnot Valkey
- Instrumenting LLM apps with minimal code overheadnot Valkey
- Continuous evaluation and quality scoring of LLM outputsnot Valkey
- Debugging LLM application issues with full trace visibilitynot Valkey
- Integrating observability data into existing monitoring stacksnot Valkey
Valkey
- Continuing on a permissively licensed in-memory store after the Redis licence changenot Traceloop
- Caching and session storage where a foundation-governed project is a procurement requirementnot Traceloop
- Migrating from Redis without rewriting application codenot Traceloop
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Traceloop
- Free tier limited to 50k spans per month and 24-hour retention, restricting production use
- Company acquisition by ServiceNow creates uncertainty about future roadmap
- Requires integration with separate observability platforms for visualization
- Less feature-rich than dedicated LLM evaluation platforms
Valkey
- Younger project, so its track record is short even though the codebase is not
- Divergence from Redis grows over time, so compatibility is strongest near the fork point and weakens as both evolve
- Ecosystem tooling and documentation still frequently assume Redis, leaving translation work
Pricing, plan by plan
Traceloop
Free- FreeFree
- 50,000 spans per month
- Up to 5 seats
- 24-hour data retention
- Enterprise$undefined/custom
- Unlimited spans per month
- Unlimited seats
- Custom data retention
Valkey
Free- ValkeyFree
- Full functionality
- Self-hosted
- No usage limits
Which should you pick?
Choose Traceloop if
- You need open-source sdk (openllmetry).
- You want to start without paying.
- You work on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby.
- You also want multi-provider support.
Choose Valkey if
- You need redis-compatible.
- You want to start without paying.
- You work on Linux, macOS, Docker, Self-hosted.
- You also want bsd licensed.
Questions people ask
- Is Traceloop or Valkey better?
- Neither clearly leads. Traceloop starts at Free and Valkey at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Traceloop or Valkey?
- Traceloop starts at Free and Valkey at Free.
- Does Traceloop or Valkey run on more platforms?
- Traceloop runs on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby. Valkey runs on Linux, macOS, Docker, Self-hosted.
- Can I use Traceloop for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Traceloop best used for?
- Traceloop is most often used for monitoring llm application performance in production, instrumenting llm apps with minimal code overhead, continuous evaluation and quality scoring of llm outputs, debugging llm application issues with full trace visibility. Of those, monitoring llm application performance in production and instrumenting llm apps with minimal code overhead are not what Valkey is typically brought in for.
- What can Traceloop do that Valkey cannot?
- Traceloop covers Open-source SDK (OpenLLMetry), Multi-provider support, Observability platform integration, Framework support. Valkey covers Redis-compatible, BSD licensed, Rich data structures, Replication and persistence.
Answered from the vendors’ own pages
Traceloop: Is OpenLLMetry open-source?
Yes, OpenLLMetry is Traceloop's open-source SDK built on OpenTelemetry standards. It allows teams to instrument LLM applications with just 2 lines of code and send data to 25+ observability platforms.
SourceValkey: Is Valkey free?
Yes, BSD-licensed open source under the Linux Foundation.
Traceloop: What is the impact of ServiceNow acquisition?
Traceloop is joining ServiceNow, representing a strategic acquisition that will broaden enterprise adoption and integration capabilities. Current operations continue with free and enterprise options available.
SourceValkey: Why does Valkey exist?
Redis changed its licence away from BSD in 2024. Valkey is the community fork continuing under permissive terms, backed by AWS, Google Cloud and Oracle among others.
Traceloop: How many LLM providers and frameworks does Traceloop support?
Traceloop supports 20+ LLM providers including OpenAI and Anthropic, and integrates with frameworks like LangChain and LlamaIndex. It can send data to 25+ observability platforms.
SourceValkey: Can I switch from Redis to Valkey?
At the fork point it is drop-in compatible with existing clients and data. The further both projects move from that point, the more you should verify the specific features you use.
Related pages
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- Valkey vs Rootly
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- Valkey vs ELK Stack
- Valkey vs Fluentd
- Valkey vs Graylog
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- Valkey vs Loki
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- Valkey vs Aiven
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- Valkey vs Timeplus
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- Valkey vs Apache Kafka
- Valkey vs RabbitMQ
- Valkey vs Meilisearch
- Valkey vs NATS
- Valkey vs DataGrip
- Valkey vs Estuary
- Valkey vs Apache Airflow
- Valkey vs Apache Pinot
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