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Services · the new software  ·  Research Note №1 · Memo 116 of 185 DT  ·  ← Overview

DT Dynatrace

The observability platform whose Davis AI has been running autonomous remediation for years — the canonical AIOps autopilot before that phrase was cool.

Positive Rank 116 · IGV constituent
Last price
$35.60
Market cap
$10.7B
As of
19 April 2026

Live quote sourced from Yahoo Finance. Prices cited in narrative below reflect the original memo date and may be stale.


Scores · adapted framework

Enabler
9 / 10
Autopilot adoption
8 / 10
Disruption risk
3 / 10
Efficiency upside
8 / 10

The Sequoia matrix

Intelligence / Judgment
Intelligence-heavyObservability is one of the purest intelligence domains in enterprise software. Correlating millions of events into a causal root cause is exactly what modern AI is good at. Davis (Dynatrace's AI) has been doing this for years.
Copilot posture
StrongDavis CoPilot lets users ask natural-language questions across log/metric/trace data. Grail (data lakehouse) is the AI-query substrate. Thesis-aligned analyst augmentation.
Autopilot posture
CoreDavis AI identifies root causes and triggers auto-remediation runbooks autonomously. Action triggers (auto-rollback, auto-scale) close the loop to action. True autopilot.
Data moat
StrongOneAgent instrumentation collects full-topology + code-level data that pure log-based tools (Splunk, Datadog) don't have at the same depth. Differentiated moat for enterprise complexity.
Execution layer
StrongDynatrace triggers actions (auto-scale, auto-rollback, runbook execution) directly from Davis findings. That's thesis-native execution layer ownership.

The memo

State of play · DT
DT traded near $35.6 in April 2026. FY26 (Mar year-end) revenue ~$1.9B with mid-teens ARR growth. Operating margin mid-20s, free cash flow >$500M. Net revenue retention 110%+. Grail + Davis CoPilot now the central platform narrative. CEO Rick McConnell continues enterprise-upmarket motion. Competitive set: Datadog (broader), New Relic (smaller), Splunk (Cisco-owned), DPtools (Elastic, Grafana). Kubernetes + AI-workload monitoring are growth wedges.

Thesis angle

Dynatrace's services-as-software angle is Davis AI — autonomous observability. Instead of hiring SREs to read dashboards, enterprises subscribe to an AI that detects, root-causes, and optionally remediates incidents. That's thesis-native outcome pricing. The expansion path: (1) Davis CoPilot extends to more personas (security, platform-eng, FinOps); (2) Grail data lakehouse monetises storage + query of enterprise telemetry; (3) Agent AI for observability orchestration. Outcome pricing (per incident resolved, per minute of uptime) is in sight.

The framing

Dynatrace is the observability name most-aligned with the services-as-software thesis. Davis AI predates 'AIOps' as a category and has been doing autonomous root-cause analysis for years. The product truly runs autonomously for many customers. The stock has underperformed Datadog because Dynatrace is more enterprise-focused and slower-growing, but the AI-native execution layer is deeper. Framing: a premium AIOps franchise trading at a discount to peers due to growth concerns but not to product or execution concerns.

Two forces, opposite directions

Tailwind · Davis AI is a mature autopilot — years ahead of competitors.

Dynatrace's Davis AI has been doing autonomous root-cause analysis since 2018. Davis CoPilot (2024) adds natural-language copilot on top. Grail data lakehouse (2022) provides the AI query substrate. The combined stack is more autonomous than Datadog's feature set for complex enterprise environments. Kubernetes + AI-workload monitoring are growth wedges where Dynatrace's depth wins.

  • Davis AI autopilot autonomous root-cause since 2018 — deepest in peer set
  • Davis CoPilot + Grail bring NL + lakehouse to ops
  • Kubernetes + AI workload observability growing fastest
  • NRR 110%+ — expansion from platform adoption
  • Enterprise segment well-suited to complexity-heavy Davis
Headwind · Datadog is growing faster + simpler to adopt.

Datadog's broader product + simpler deployment wins net-new high-growth tech customers. New Relic's private-company re-launch under Francisco Partners adds mid-market competition. Dynatrace's OneAgent complexity is a strength for deep enterprise but a friction for mid-market. Growth rate has decelerated from 25%+ to mid-teens. Competitive dynamics have shifted.

  • Datadog growing faster; simpler deploy
  • OneAgent complexity is enterprise-only
  • New Relic re-launch adds mid-market pressure
  • Growth decelerated from 25%+ to mid-teens
  • Pricing model complexity is a sales friction

Dynatrace revenue segments and AI posture

SegmentApprox. mixAI postureServices-as-software read
APM / full-stack observability~60%Davis AI autopilot + CoPilotCore thesis — autopilot ops
Infrastructure + DEM~20%Davis AI + topology intelligenceThesis-aligned ops
Application security~10%AI-driven runtime vuln detectionThesis-aligned
Grail / lakehouse / CI-analytics~10%AI-native query substrateCore thesis — AI exec layer
Every Dynatrace franchise uses Davis AI. The revenue mix is entirely thesis-aligned. The question is growth velocity, not thesis fit.

Bull case

Davis AI is the deepest observability autopilot.

Years of real customer traction on autonomous root-cause and remediation. Not an LLM bolt-on — Davis is a causal-inference engine purpose-built for observability.

Grail lakehouse is a real AI-query substrate.

Observability data is the highest-volume telemetry in enterprise; Grail unifies log/metric/trace for AI query. That's a differentiated platform investment.

NRR + enterprise segment provides downside floor.

110%+ NRR with enterprise customers means the business grows faster than bookings imply. High stickiness limits downside.

Multiple is cheap vs. Datadog for equivalent AI exposure.

DT trades at a discount to DDOG despite deeper AI products. If the growth rate stabilises, re-rate potential.

Bear case

Datadog wins net-new growth.

For high-growth tech companies, Datadog is the default choice. Dynatrace's enterprise strength doesn't offset the growth concentration in new tech.

Complexity is a two-edged sword.

OneAgent's depth requires longer sales cycles and more implementation lift. Mid-market loss leaders turn into enterprise stickiness but limit TAM expansion.

Pricing complexity is a known friction.

Dynatrace's pricing is harder to understand than Datadog's per-host model. Customer education cost is real.

Growth deceleration shows franchise maturity.

Mid-teens organic growth for an AIOps leader raises questions about platform velocity.

Sequoia-framework fit

Dynatrace is thesis-positive: Davis AI is one of the longest-running autonomous autopilot products in enterprise software. The entire revenue mix is AI-native observability. Outcome pricing (per incident, per uptime minute) is a natural extension. The franchise is thesis-native but the market is competitive; Datadog wins the growth narrative. Verdict is 'positive' because the product leadership is real and the valuation is reasonable.

Investor takeaway

The deepest AIOps autopilot in public markets. Own for Davis + Grail + enterprise stickiness at discount to Datadog.

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