Obsivara vs New Relic
New Relic is an enterprise observability and APM suite whose AI Monitoring module extends it to LLM calls — token usage, cost, latency, response quality, and model comparison, correlated with full-stack APM. Obsivara is a purpose-built AI observability and operations platform focused on cost intelligence, health scoring, predictive failure alerts, and native n8n ingestion, with simple AI-usage pricing. Choose New Relic if you're standardizing on one full-stack platform; choose Obsivara for a focused, cost-first AI and n8n ops layer.
Obsivara is purpose-built for AI operations: it unifies tracing with cost intelligence and waste detection, health scoring, predictive failure alerts, a dependency knowledge map, and a weekly prioritized AI audit — across LLMs, agents, and n8n workflows — with native n8n and webhook ingestion and simple AI-usage pricing.
New Relic is a mature, full-stack observability platform. Its AI Monitoring (AIM) brings LLM tracing, token and cost tracking, latency, response-quality signals, and model comparison into the same platform as application, infrastructure, and log telemetry — with usage-based pricing across data ingest and users. It's a strong fit for organizations that want AI monitoring correlated with the rest of their stack in one place.
Obsivara vs New Relic: how do they compare?
| Dimension | Obsivara | New Relic |
|---|---|---|
| Primary focus | Purpose-built AI & n8n operations — cost, reliability, health | Enterprise APM suite with an AI monitoring module |
| Best fit | Teams wanting a focused, cost-first AI ops layer | Teams already standardized on New Relic |
| Deployment | Cloud SaaS; on-prem on Enterprise | SaaS (enterprise) |
| AI-stack coverage | Models, agents, workflows — the AI layer | AI monitoring + full-stack APM correlation |
| Cost intelligence | Per-model / agent / workflow spend, waste detection, model comparison | LLM token/cost within AI monitoring |
| Predictive failure alerts | Yes — AI-specific, before assets fail | General APM alerting & anomaly detection |
| Health scoring & weekly audit | Yes — AI health scores + Monday audit | General dashboards & alerts |
| Workflow / n8n ingest | Native n8n + generic webhooks | Via New Relic integrations |
| Pricing model | Simple AI-usage tiers (Free → Enterprise) | Usage-based (data ingest + users) |
Choose Obsivara when
- You want a purpose-built AI ops platform rather than an AI add-on to a broad APM suite.
- AI cost attribution, health scoring, and predictive alerts are priorities.
- You want native n8n/webhook ingestion and simple AI-usage pricing.
Choose New Relic when
- Your organization is already standardized on New Relic and wants everything in one platform.
- You need LLM telemetry correlated with full-stack APM and infrastructure.
Questions
No — Obsivara is standalone. It ingests via SDK, OpenTelemetry, webhooks, or native n8n, with no dependency on New Relic.
Obsivara focuses on the AI layer — models, agents, workflows, cost, and health. For deep full-stack APM correlation, a suite like New Relic is built for that.
Obsivara uses simple AI-usage tiers (Free, Growth, Business, Enterprise). New Relic uses usage-based pricing across data ingest and users within its broader platform.
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