Sherlock Calls vs New Relic
New Relic is the all-in-one observability platform used by 17,000+ organizations to monitor infrastructure, applications, and now AI — with 700+ integrations and a generous free tier. Sherlock Calls is purpose-built for one layer New Relic was never designed for: investigating production voice calls from Twilio, ElevenLabs, Vapi, and 12+ providers in plain English, from Slack.
TL;DR — The short answer
- 1
New Relic is a proven full-stack observability platform — ideal for engineering teams who need unified infrastructure, APM, and AI application monitoring with 700+ integrations in one place.
- 2
Sherlock Calls is purpose-built for voice operations: investigating real production call failures, pulling transcripts, and correlating costs and errors across 15+ voice providers from Slack — no code changes required.
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If your team runs voice AI on Twilio, ElevenLabs, Vapi, or Genesys, Sherlock fills the operational gap New Relic's APM and AI monitoring modules were not designed to cover.
Understanding both tools
Sherlock Calls
AI-powered voice call investigation
Sherlock Calls is a Slack-native AI investigator purpose-built for voice operations teams. Connect your existing providers — Twilio, ElevenLabs, Vapi, Genesys, and 12 more — and ask questions about your calls in plain English. Sherlock autonomously gathers data across all connected services, correlates events, and delivers a sourced answer in under 5 seconds. No new dashboards. No SDK. No code changes.
- Works inside Slack — no new UI to learn
- Connects to 15+ voice providers in minutes
- Investigates calls autonomously with AI
- Free tier — 100 credits per workspace
New Relic
Observability made simple — infrastructure, apps, and AI in one platform
New Relic is a full-stack observability platform that unifies infrastructure metrics, application performance tracing (APM), browser monitoring, logs, and AI observability into a single data platform — with 700+ integrations and a consumption-based pricing model with a free tier.
- Full-stack APM: end-to-end distributed tracing for applications, infrastructure, and Kubernetes — with AI-assisted anomaly detection and error analytics via New Relic AI
- AI monitoring module: LLM observability for applications built on OpenAI, AWS Bedrock, and LangChain — token tracking, response quality scoring, and performance dashboards
- 700+ out-of-the-box integrations across infrastructure, cloud providers, databases, and third-party services via New Relic I/O
- New Relic AI (NRAI): a natural language interface that lets users query telemetry data, explain errors, and generate NRQL queries through conversational prompts
Feature comparison — General APM & DevOps
Sherlock Calls vs New Relic & peers
All tools in the General APM & DevOps category — so you can compare both head-to-head and within the landscape.
| Feature | SherlockCalls | New Relicthis page | Datadog LLM Observability | Grafana | Sentry |
|---|---|---|---|---|---|
| AI call investigation | |||||
| AI agent & LLM tracing | |||||
| AI governance & compliance | |||||
| Offline LLM evaluation | |||||
| Provider integrations | 15+ (all voice) | 700+ (~4 voice) | 600+ (~5 voice) | 300+ (~2 voice) | ~100 (~3 voice) |
| Cross-provider correlation | |||||
| Natural language queries | |||||
| Zero-code setup | |||||
| Per-call cost tracking | |||||
| Free tier available |
Scroll horizontally to compare all tools →
Key differences
Why teams switch from New Relic to Sherlock
Voice Call Investigation vs Full-Stack APM
Sherlock Calls
Sherlock investigates specific voice call events — dropped calls, ElevenLabs latency spikes, Twilio billing anomalies, cross-provider transcript gaps — in plain English from Slack, with no instrumentation or NRQL knowledge required.
New Relic
New Relic's APM and AI monitoring modules trace application performance and LLM calls at the infrastructure and code layer. Investigating a specific voice call — its transcript, cost, cross-provider timeline, and failure cause — requires building custom dashboards and writing NRQL queries, which is not feasible for voice operations managers.
Operational Q&A vs NRQL Dashboard Analysis
Sherlock Calls
Ask Sherlock 'Why did our ElevenLabs calls spike in latency Tuesday between 9 and 11 PM?' in Slack and get a sourced, multi-provider answer in under 5 seconds — no dashboards, no NRQL, no engineering ticket.
New Relic
New Relic AI (NRAI) can generate NRQL queries from natural language, but the workflow still requires navigating the New Relic UI, interpreting dashboards, and correlating data across multiple views. For voice operations teams who live in Slack, this is a significant context switch.
Native Voice Integrations vs APM Agent Instrumentation
Sherlock Calls
Sherlock connects to Twilio, ElevenLabs, Vapi, Retell, Genesys, Amazon Connect, HubSpot, and Datadog via API key — no SDK, no code changes, no deployment. Operational in under 2 minutes.
New Relic
New Relic's voice-relevant integrations (Twilio error monitoring, telephony metrics) focus on infrastructure-level signals rather than call-level intelligence. Correlating a specific call's transcript, provider error, latency, and cost across Twilio and ElevenLabs requires custom New Relic instrumentation.
Which tool is right for you?
When to choose Sherlock vs New Relic
Choose Sherlock Calls if…
- Your team operates voice AI in production and needs to investigate specific call failures without writing NRQL or building dashboards
- You want cross-provider correlation across Twilio, ElevenLabs, HubSpot, and Datadog without additional engineering work
- Your operations or support team needs call intelligence in Slack without New Relic expertise
- You need per-call cost breakdowns and transcript analysis on demand across your voice provider stack
Consider New Relic if…
- Your engineering team already runs New Relic and needs full-stack APM, infrastructure monitoring, and LLM application tracing within one unified platform
- You need 700+ integrations, Kubernetes monitoring, and AI-assisted anomaly detection alongside voice infrastructure — and have engineering resources to instrument and maintain dashboards
Pricing
Cost comparison
Sherlock Calls
Free to start
100 credits per Slack workspace. Team plans from $50/month. No credit card required to start.
- Free tier — 100 credits/workspace
- Team: $50–$5,000/month (usage-based)
- Enterprise: custom pricing
- No sales call required to start
- Cancel anytime
New Relic
Free tier available — Core from $49/user/month
New Relic offers a free tier with 100 GB of data ingest per month and 1 full-platform user. Core users (telemetry data only) start at $49/user/month. Full platform users with complete observability access start at $99/user/month. Data ingest beyond the free tier is billed at $0.35/GB.
* Pricing sourced from public information. Contact New Relic for current rates.
FAQ
Frequently asked questions
What is New Relic used for?
New Relic is a full-stack observability platform that monitors infrastructure, application performance (APM), browser, mobile, logs, and AI applications in one unified data platform with 700+ integrations. It is designed for engineering and DevOps teams — not for voice call investigation or operational Q&A from Slack.
Can New Relic investigate voice calls from Twilio or ElevenLabs?
New Relic has a Twilio error monitoring integration that surfaces infrastructure-level telephony metrics. It does not natively correlate voice call transcripts, per-call costs, or cross-provider voice data (ElevenLabs, Vapi, Retell). Sherlock Calls provides native integrations with 15+ voice platforms — no code changes required.
Is Sherlock Calls a New Relic alternative?
They solve problems at different layers. New Relic is right for engineering teams who need full-stack observability, infrastructure monitoring, and LLM application tracing. Sherlock Calls is right for voice operations teams who need to investigate production voice calls and get instant answers from their telephony stack in Slack.
How do I migrate from New Relic to Sherlock Calls?
No migration needed — Sherlock and New Relic serve different teams with different workflows. Sherlock actually complements New Relic: if you use New Relic to monitor your voice infrastructure, Sherlock can query that data alongside Twilio, ElevenLabs, and your CRM in a single investigation, surfacing call-level intelligence New Relic dashboards don't expose.
Does Sherlock Calls replace New Relic?
No. New Relic is the right choice for engineering teams who need full-stack observability across infrastructure, applications, and AI within one platform. Sherlock Calls is the right choice for voice operations teams who need to investigate voice calls and get instant answers from their telephony stack — without writing NRQL or maintaining dashboards.
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