Head-to-head · Llm Monitoring
Datadog LLM Observability vs Arize Phoenix
Datadog LLM Observability leads on 0 checks, Arize Phoenix on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreDatadog LLM Observability · 9.1/10
- Free planboth
- Most featuresDatadog LLM Observability · 3 of 3
Datadog LLM Observability scores higher on our rubric for llm monitoring: 9.1 against 8.5 out of 10; our editors rank them #2 and #7.
On deployment options, Arize Phoenix gives you Both where Datadog LLM Observability offers Cloud.
Datadog LLM Observability is the better fit for teams already using Datadog. Arize Phoenix is the better fit for teams wanting free, self-hosted LLM observability.
- Datadog LLM Observability fits best
Teams already using Datadog
- Arize Phoenix fits best
Teams wanting free, self-hosted LLM observability
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Side by side
| Feature | Datadog LLM Observability 9.1/10 Visit ↗ | Arize Phoenix 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.1 | 8.5 |
| Ranking | #2 in Llm Monitoring | #7 in Llm Monitoring |
| Best for | Teams already using Datadog | Teams wanting free, self-hosted LLM observability |
| Pricing model | Free plan + paid | Free |
| Starting price | $160/mo | Free |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Cloud | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Docs | Community, Docs |
| Integrations | 10 integrations | 11 integrations |
| Built for | Small business, Mid-market, Enterprise | Solo, Small business, Mid-market, Enterprise |
| Features Datadog LLM Observability 3/3 · Arize Phoenix 2/3 | ||
| LLM tracing | ✓ | ✓ |
| Evaluation support | ✓ | ✓ |
| Alerts | ✓ (best) | Not checked yet |
| Specs | ||
| Deployment options | Cloud | Both |
| Trace retention | 15 days | Not checked yet |
| LLM providers | OpenAI, Anthropic, Gemini, Vertex AI, AWS Bedrock | Not checked yet |
| Our review | ||
| Pros |
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| Our verdict | Datadog LLM Observability, now presented as Agent Observability, helps engineering teams monitor and troubleshoot LLM-powered applications and agents in development and production. It records model calls and workflows at span level,… Read the review → |
Arize Phoenix is an open-source observability and evaluation platform for AI applications and agents. It is aimed at teams that want to inspect how model calls, retrieval, tool use, and custom logic behave, then evaluate and refine those… Read the review → |
Strengths and trade-offs
Datadog LLM Observability — where it wins
- Links agent traces with backend services, infrastructure, and user sessions
- Combines evaluations, datasets, experiments, and annotations
- Free plan includes up to 40K LLM spans per month and full feature access
Where it doesn't
- Cloud-only deployment
- Free and Pro plans both retain traces for 15 days
- Pro costs $160/month with annual billing; extra spans are metered
Arize Phoenix — where it wins
- Traces model calls, retrieval, tool use, and custom logic
- Combines LLM-based, code-based, and human evaluations
- Includes prompt versioning, experiments, and token cost tracking
Where it doesn't
- Support is centered on community resources and documentation
- Its integration list is narrower than some alternatives
- Teams seeking hosted use must choose Phoenix Cloud rather than local deployment
- Datadog LLM Observability9.1/10 · Free plan
LLM tracing and evaluation with Datadog context, plus a free plan and cloud-only deployment.
Visit DatadogFull verdict → - Arize Phoenix8.5/10 · Free plan
A free, self-hostable stack for tracing, evaluating, and iterating on LLM applications.
Visit Arize PhoenixFull verdict →
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All llm monitoring comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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