Logging · head to head
Traceloop vs Arize AI

Traceloop
Logging
LLM reliability platform with open-source observability and evaluation
- From
- Free
- Rated
- -

Arize AI
AI
AI engineering platform for observability and evaluation of agents and LLM apps
- 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; Arize AI the free plan caps trace spans at 25,000 per month with only 15 days of retention.
- They diverge on capability: Traceloop covers Open-source SDK (OpenLLMetry), Arize AI covers End-to-end tracing.
Where they differ
Only the attributes on which Traceloop and Arize AI actually diverge.
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 Arize AI
- End-to-end tracing
- Evaluation framework
- Prompt testing and improvement
- Alyx AI engineering agent
- Custom dashboards
- Data warehouse integrations
What people use each for
The jobs each tool is most often brought in to do.
Traceloop
- Monitoring LLM application performance in productionnot Arize AI
- Instrumenting LLM apps with minimal code overheadnot Arize AI
- Continuous evaluation and quality scoring of LLM outputsnot Arize AI
- Debugging LLM application issues with full trace visibilitynot Arize AI
- Integrating observability data into existing monitoring stacksnot Arize AI
Arize AI
- Tracing and debugging production AI agentsnot Traceloop
- Running large-scale evaluations across traces and sessionsnot Traceloop
- Improving prompts before production rolloutnot Traceloop
- Storing and querying GenAI traces alongside a data warehousenot 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
Arize AI
- The free plan caps trace spans at 25,000 per month with only 15 days of retention.
- Self-hosted deployment and Data Fabric integration are restricted to the custom-priced Enterprise tier.
- Pricing beyond the $50/month Pro plan requires a custom quote, making cost planning less transparent at scale.
- Advanced compliance features like HIPAA are only available on Enterprise.
Pricing, plan by plan
Traceloop
Free- FreeFree
- 50,000 spans per month
- Up to 5 seats
- 24-hour data retention
- Enterprise$undefined/custom
- Unlimited spans per month
- Unlimited seats
- Custom data retention
Arize AI
Free- AX FreeFree
- 25k trace spans/month
- 1 GB storage/month
- 15-day retention
- AX Pro$50/month
- 50k trace spans/month
- 10 GB storage/month
- 30-day retention
- AX Enterprise$undefined/mo
- Custom trace spans, storage, and retention
- SaaS or self-hosted deployment
- Managed agents and Data Fabric
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 Arize AI if
- You need end-to-end tracing.
- You want to start without paying.
- You work on web, api.
- You also want evaluation framework.
Questions people ask
- Is Traceloop or Arize AI better?
- Neither clearly leads. Traceloop starts at Free and Arize AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Traceloop or Arize AI?
- Traceloop starts at Free and Arize AI at Free.
- Does Traceloop or Arize AI run on more platforms?
- Traceloop runs on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby. Arize AI runs on web, api.
- 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 Arize AI is typically brought in for.
- What can Traceloop do that Arize AI cannot?
- Traceloop covers Open-source SDK (OpenLLMetry), Multi-provider support, Observability platform integration, Framework support. Arize AI covers End-to-end tracing, Evaluation framework, Prompt testing and improvement, Alyx AI engineering agent.
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.
SourceArize AI: What does Arize AX cost?
Arize AX offers a free plan, a Pro plan at $50/month, and a custom-priced Enterprise plan, with pricing based on trace spans, storage, and retention needs.
SourceTraceloop: 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.
SourceArize AI: Is there a free plan, and what are its limits?
The AX Free plan includes 25,000 trace spans and 1 GB of storage per month with 15-day retention, plus unlimited users, evaluations, and experiments.
SourceTraceloop: 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.
SourceArize AI: What deployment options are available?
Free and Pro plans are SaaS-only, while Enterprise customers can choose SaaS or self-hosted deployment with custom SLAs.
SourceRelated pages
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