Arize monitors models in isolation. Oodle traces your LLM calls inside the full request lifecycle — $10 per million spans, OpenTelemetry native.
Arize expanded from traditional ML into LLM observability. But production agents need full-stack visibility.
Arize is ML/LLM only. With Oodle you get agent observability plus logs, metrics, traces, and APM — one platform for everything your engineering team needs.
When an agent call is slow, is it the model or the downstream service? Arize ingests OTel traces but doesn't provide APM, logs, or metrics — you need separate tools. Oodle shows both in one trace.
Arize AX plans cap spans at 25K–50K/month with overage fees. Oodle charges $0.30/GB for everything — LLM traces, infra traces, logs, metrics — with no span limits.
| Feature | Oodle AI | Arize AI |
|---|---|---|
| Pricing model | $0.30/GB (~$10 per million spans) | Tiered plans with span limits (25K–50K/month included) |
| Infrastructure trace correlation | Built-in — LLM spans in same traces as API, DB, cache | OTel ingestion supported; no native APM/logs/metrics platform |
| Instrumentation | OpenTelemetry native (GenAI semantic conventions) | Arize SDK or OpenTelemetry via OpenInference |
| Traditional ML monitoring | Focused on LLM/agent workloads | Full ML lifecycle — drift, performance, embeddings |
| Logs, metrics, APM | Full unified platform | Not available — ML/LLM observability only |
| Production scale | 3M+ agent traces/day, S3-native serverless | Cloud-hosted, enterprise plans for high volume |
| AI-powered debugging | Natural language queries across all signals | AI assistant (Alyx) and automated monitors |
| Open source option | BYOC available | Phoenix (open source, self-hosted) |
| Compliance | SOC 2 Type II, ISO 27001, GDPR | SOC 2 Type II, ISO 27001, HIPAA, PCI DSS 4.0, GDPR |
Arize AX plans include limited spans (25K–50K/month) with overage fees. Oodle charges $0.30/GB — approximately $10 per million spans at any scale.
Switch in Under an Hour
Add OpenTelemetry instrumentation and point at Oodle. No infrastructure changes.
Use OpenLLMetry, LangChain, Vercel AI SDK, or any library emitting GenAI semantic conventions.
One config line. Same endpoint for all traces — LLM and infra unified from the start.
LLM calls, tool invocations, and infra spans appear in one unified trace waterfall.
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Ashish Gupta
Principal Engineer, Fello
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