Sherlock Calls vs Dynatrace
Dynatrace provides full-stack APM with AI-powered root cause analysis. Sherlock Calls investigates voice call failures across Twilio, ElevenLabs, and 13+ providers in Slack — without NRQL, without dashboards, without code changes.
TL;DR — The short answer
- 1
Dynatrace excels at full-stack APM — infrastructure metrics, distributed traces, and application performance for engineering teams who know how to navigate enterprise observability platforms.
- 2
Sherlock Calls investigates voice call failures in plain English from Slack — cross-provider correlation across Twilio, ElevenLabs, and Vapi without SDK instrumentation or custom dashboards.
- 3
Dynatrace has no native voice provider connectors. The gap: a Twilio webhook failure correlated with an ElevenLabs TTS timeout is invisible to Davis AI without custom instrumentation.
Understanding both tools
Sherlock Calls
AI-powered voice call investigation
Sherlock Calls is a Slack-native AI investigator for operations teams. Connect your existing providers — Twilio, ElevenLabs, Vapi, Genesys, and 20+ more — and ask questions 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 20+ providers in minutes
- Investigates calls autonomously with AI
- Free tier — 100 credits per workspace
Dynatrace
AI-powered full-stack observability
Dynatrace is an enterprise full-stack APM platform with Davis AI for automated root cause analysis. It covers infrastructure, application performance, and user experience monitoring.
- Davis AI automatically detects anomalies and correlates root causes across infrastructure, application, and UX layers
- Full-stack coverage: infrastructure metrics, distributed traces, logs, and real user monitoring in one platform
- AI observability features for LLM applications including OpenAI and AWS Bedrock integrations
- Enterprise-grade deployment (SaaS, managed, on-prem) with SOC 2 and ISO 27001
Feature comparison — General APM & DevOps
Sherlock Calls vs Dynatrace & peers
All tools in the General APM & DevOps category — so you can compare both head-to-head and within the landscape.
| Feature | SherlockCalls | Dynatracethis page | Datadog LLM Observability | Grafana | New Relic | Sentry |
|---|---|---|---|---|---|---|
| AI call investigation | ||||||
| AI agent & LLM tracing | ||||||
| AI governance & compliance | ||||||
| Offline LLM evaluation | ||||||
| Provider integrations | 20+ | 700+ (infra, no voice providers) | 600+ (~5 voice) | 300+ (~2 voice) | 700+ (~4 voice) | ~100 (~3 voice) |
| Cross-provider correlation | ||||||
| Natural language queries | ||||||
| Zero-code setup | ||||||
| Per-call cost tracking | ||||||
| Free tier available |
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Key differences
Why teams switch from Dynatrace to Sherlock
No Voice Provider Connectors
Sherlock Calls
Sherlock natively connects to Twilio, ElevenLabs, Vapi, Retell, Genesys, and 10+ more voice providers — no SDK, no instrumentation. Connect via API key and investigate your first call in under 2 minutes.
Dynatrace
Dynatrace's 700+ integrations cover infrastructure, cloud, and application layers. There are no native connectors for Twilio call events, ElevenLabs TTS latency, or Vapi agent data. Monitoring voice AI with Dynatrace requires custom OpenTelemetry instrumentation.
Plain English from Slack vs Davis AI Dashboard
Sherlock Calls
Ask Sherlock 'Why did 14 calls fail Tuesday night?' directly in Slack. No dashboard login, no DQL query, no alert threshold to configure. Your on-call engineer gets a sourced answer in under 5 seconds.
Dynatrace
Davis AI is powerful for teams who speak APM fluently. Investigating a voice call failure requires building custom dashboards, configuring log ingestion for each provider, and querying results in Dynatrace's interface — a workflow that adds hours to incident response for voice AI teams.
Purpose-Built for Voice AI vs General APM
Sherlock Calls
Sherlock understands telephony events — call setup, DTMF, webhook delivery, TTS latency, ASR confidence — and correlates them across providers into a plain-English incident timeline with a root cause hypothesis.
Dynatrace
Dynatrace is built for infrastructure and application performance. It can capture HTTP latency and error rates for voice API calls, but it has no concept of telephony event chains, TTS timeouts, or cross-provider voice call correlation.
Which tool is right for you?
When to choose Sherlock vs Dynatrace
Choose Sherlock Calls if…
- Your team investigates voice call failures across Twilio, ElevenLabs, Vapi, or Retell
- Operations teams need call intelligence from Slack without custom instrumentation
- You want cross-provider correlation without building custom Dynatrace dashboards
- Your voice AI stack is multi-provider and you need a unified investigation interface
Consider Dynatrace if…
- Your engineering team runs full-stack infrastructure and application monitoring at enterprise scale
- You need Davis AI for automated anomaly detection across infrastructure, APM, and UX
- Your organization requires enterprise compliance (SOC 2, ISO 27001) for your observability platform
- You already have Dynatrace and are adding AI features to existing application monitoring
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
Dynatrace
Enterprise (custom, typically $100K+/year)
Dynatrace pricing is custom and enterprise-only. No published free tier for production use. Typically involves annual contracts with data volume and host-based pricing.
* Pricing sourced from public information. Contact Dynatrace for current rates.
FAQ
Frequently asked questions
Can Dynatrace monitor Twilio or ElevenLabs voice calls?
Dynatrace can monitor HTTP-level metrics for Twilio or ElevenLabs API calls if you instrument your application with the Dynatrace OneAgent or OpenTelemetry SDK. It has no native connectors for telephony events, TTS latency, or cross-provider voice call correlation. Sherlock connects to Twilio and ElevenLabs directly via API key with no instrumentation required.
Is Sherlock Calls a Dynatrace alternative?
Not a full replacement — they address different layers. Dynatrace covers infrastructure, application, and UX monitoring at enterprise scale. Sherlock is purpose-built for voice call failure investigation across telephony and TTS providers. Teams with Dynatrace can add Sherlock specifically for voice AI forensics without replacing their APM.
What does Dynatrace Davis AI do that Sherlock doesn't?
Davis AI continuously monitors your entire infrastructure and application stack, automatically detects anomalies, and correlates root causes without you asking a question. Sherlock is query-driven — it answers questions about specific voice call failures on demand. For infrastructure monitoring at scale, Davis AI is excellent. For voice call investigation, Sherlock is purpose-built.
How do I migrate from Dynatrace to Sherlock Calls?
No migration needed. Sherlock and Dynatrace serve different observability layers. Sherlock can actually query Datadog and other APM data alongside Twilio + ElevenLabs in a single investigation — making it complementary to your existing APM stack rather than a replacement.
Does Sherlock Calls replace Dynatrace?
No. Dynatrace is the right choice for enterprise teams that need full-stack APM with automated anomaly detection. Sherlock is the right choice for teams running voice AI in production who need cross-provider call investigation from Slack — without SDK instrumentation or custom dashboards.
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