Arize AIEnterprise
An ML and LLM observability platform for monitoring model and agent performance, detecting drift, and tracing failures in production.
Analytics comparison
Arize AI vs Splunk Agent Observability (formerly Galileo)
Pricing, pros, cons, and ideal use cases — side by side.
An enterprise platform for evaluating, monitoring, and guarding AI agents and LLM applications, including real-time protection against unsafe outputs.
At a glance
| Arize AI | Splunk Agent Observability (formerly Galileo) | |
|---|---|---|
| Pricing | EnterpriseOpen-source Phoenix is free. The Arize platform is sold via paid and enterprise plans. | EnterpriseEnterprise pricing, quoted per organization. |
| Category | Analytics | Analytics |
| Ideal for | Enterprises running AI in productionML and platform teamsRegulated industries needing auditable monitoring | Enterprises running agents and LLM apps at scaleRegulated organizations needing runtime safeguardsTeams needing both evaluation and live monitoring |
Pros & cons
Arize AI
Pros
- Purpose-built for AI observability at scale
- Drift and performance-degradation detection
- Open-source Phoenix as a lighter on-ramp
- Strong fit for regulated environments
Cons
- Enterprise platform pricing is a commitment
- Most valuable once you have real production volume
- Setup is an engineering project
Splunk Agent Observability (formerly Galileo)
Pros
- Evaluation, monitoring, and runtime guardrails in one platform
- Real-time detection of unsafe or off-policy outputs
- Metrics that work without ground-truth labels
- Built for enterprise scale
Cons
- Enterprise pricing and procurement
- More than small teams or simple apps need
- Onboarding is a real implementation effort
Which should you choose?
Arize AI is built around enterprises running ai in production; Splunk Agent Observability (formerly Galileo) leans more toward enterprises running agents and llm apps at scale. Shortlist the one whose strengths line up with your biggest constraint.
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