OpenObserve AI Observability vs New Relic Agentic Platform and MCP
Detailed side-by-side comparison to help you choose the right tool
OpenObserve AI Observability
🔴DeveloperAI observability
An OpenTelemetry-native observability product for tracing agents, tool calls, and model requests while measuring quality, latency, token use, and cost.
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Starting Price
$0.50/GB ingested + $0.01/GB queriedNew Relic Agentic Platform and MCP
🔴DeveloperAI observability
Observability platform for applications and AI systems that gives operational context to engineering agents.
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Starting Price
$0; 100 GB/monthFeature Comparison
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OpenObserve AI Observability - Pros & Cons
Pros
- ✓Correlates agent traces with infrastructure telemetry
- ✓Uses OpenTelemetry gen_ai conventions
- ✓Attributes tokens, latency, and cost
- ✓Supports cloud and multiple self-hosted models
Cons
- ✗Requires careful application instrumentation
- ✗Verbose traces can raise ingestion volume
- ✗Cloud pricing charges for queried data
- ✗Self-hosting transfers operational burden
New Relic Agentic Platform and MCP - Pros & Cons
Pros
- ✓100 GB free monthly ingest
- ✓Connects AI traces to infrastructure
- ✓Public ingest and user rates
- ✓Unlimited hosts without host fees
Cons
- ✗Multiple billing dimensions
- ✗Pro seats start at $349 with commitment
- ✗MCP packaging needs verification
- ✗Remediation needs strict permissions
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