AI visibility report
Dynatrace ranks #6 in Observability & Monitoring AI search.
Outside the top three on 18 of the 25 prompts buyers actually ask.
New Relic is cited on 8 of those losses.
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Track Dynatrace across these prompts daily.
Start free trial#6 among 14 vendors · still absent from 92% of tracked prompt responses
Top-3 citations across 150 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
Grok
Gemini Search
Bing Copilot
ChatGPT
Google AI Mode
PerplexityVisible, but narrative can improve. Dynatrace ranks #6 on presence but #13 on sentiment. The brand appears relatively often, but competitors may be getting more favorable language when they appear.
Where Dynatrace is losing
Prompts where competitors are visible and Dynatrace is not.
These prompt-level losses are the first prompts to track and repair.
Where Dynatrace is winning2
Which observability platforms integrate with deployment pipelines to correlate performance regressions with specific code changes?
Avg # 1.0 · 1 platform
Which observability platforms support business-level metrics like conversion funnels alongside infrastructure and application telemetry?
Avg # 2.0 · 1 platform
Where Dynatrace is losing5
Which SaaS monitoring platforms have the lowest ingestion lag during high-volume log bursts so alerting stays fast?
Competitors on 4 platforms
Track this promptWhich observability platforms support real user monitoring alongside backend APM for correlating frontend and backend performance?
Competitors on 4 platforms
Track this promptWhat observability platforms can a small engineering team realistically get to meaningful dashboards and alerting on quickly?
Competitors on 3 platforms
Track this promptWhich monitoring platforms have the best anomaly detection — automatically surfacing regressions without manual threshold tuning?
Competitors on 2 platforms
Track this promptWhich observability platforms have the best ad-hoc query experience for high-cardinality log data during an active incident?
Competitors on 2 platforms
Track this prompt
Track Dynatrace daily before the next report refresh.
Track these gapsResearch dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
Overview
Dynatrace (NYSE: DT) is an AI-powered observability and analytics platform founded in 2005 in Linz, Austria, and headquartered in Waltham, Massachusetts. The platform unifies application performance monitoring, infrastructure observability, digital experience monitoring, log management, runtime application security, and business analytics in a single SaaS offering. At its core is the Grail™ data lakehouse, which stores logs, metrics, traces, and business events in context at massive scale, and Davis®, Dynatrace's proprietary AI engine combining causal, predictive, and generative intelligence. OneAgent enables automatic full-stack instrumentation without manual configuration. As of March 2025, Dynatrace serves approximately 4,100 enterprise customers across 105+ countries and has been named a Gartner Magic Quadrant Leader in observability platforms for 15 consecutive years.
Dynatrace is an enterprise-grade, AI-powered observability platform that provides unified full-stack monitoring across applications, infrastructure, digital experience, security, and business analytics. It combines the Grail™ data lakehouse, Davis® AI (causal + predictive + generative), and OneAgent auto-instrumentation to deliver automatic dependency mapping, anomaly detection, and root-cause analysis at cloud scale. The platform supports cloud-native, hybrid, and on-premises environments and integrates with 800+ technologies.
Key Facts
- Founded
- 2005
- HQ
- Waltham, Massachusetts, USA
- Founders
- Bernd Greifeneder, Sok-Kheng Taing, Hubert Gerstmayr
- Employees
- 5000-6000
- Funding
- $21.9M pre-IPO; IPO Aug 2019 (~$544M)
- ARR
- ~$1.97B (Q3 FY2026, Dec 2025)
- Customers
- ~4,100 (Mar 2025)
- Valuation
- ~$11B (market cap, Mar 2026)
- Status
- Public (NYSE: DT)
Target users
Key Capabilities10
- AI-powered observability via Davis® causal, predictive, and generative AI (Davis CoPilot)
- Grail™ unified data lakehouse storing logs, traces, metrics, events, and business data in context
- OneAgent auto-instrumentation for full-stack, zero-config monitoring
- Application Performance Monitoring (APM) with distributed tracing and code-level profiling
- Infrastructure Observability across multi-cloud, hybrid, and on-premises environments
- Digital Experience Monitoring with Real User Monitoring, Session Replay, and synthetic testing
- AI Observability for GenAI applications, LLMs, and AI agents
- Runtime Application Security with vulnerability detection and threat protection
- Business Observability connecting IT telemetry to business KPIs and SLOs
- Cloud automation and AIOps-driven incident remediation workflows
Key Use Cases8
- Enterprise cloud and multi-cloud infrastructure monitoring
- Application performance management and root-cause analysis
- Kubernetes and cloud-native microservices observability
- Digital experience and end-user journey monitoring
- Log management and analytics at scale
- Runtime application security and vulnerability management
- AIOps-driven incident detection and automated remediation
- GenAI and LLM application observability
Dynatrace customer outcomes
Transaction failure rate cut from 0.16% to 0.06%; monitoring costs reduced 45%; 75% AIOps efficiency savings; customer i
Dynatrace helped TD Bank unify observability across its banking platform, consolidating monitoring tools and applying AI-driven AIOps to improve incident detection and resolution speed.
58% increase in high-quality software releases; major service incidents down 94% over five years
BNZ used Dynatrace to monitor 85 applications and 2,500+ services, driving major improvements in software release quality and service reliability over five years.
Root cause identification time reduced from hours to minutes
Dynatrace's AI engine enabled early detection of potential system issues without false alarms, dramatically reducing root cause identification time.
Recent Trend
How AI describes Dynatrace3
Dynatrace provides end-to-end business observability by connecting AI-driven infrastructure and application metrics (APM) with real-user monitoring (RUM) to map out business journeys like conversion funnels.
What's the quickest distributed tracing platform to set up across a microservices architecture on a container orchestration platform?
Dynatrace : Supports OTLP ingestion. * Splunk : Supports OTLP and contributes to the OTel ecosystem.
Which observability platforms integrate with deployment pipelines to correlate performance regressions with specific code changes?
Dynatrace : Offers AI-driven root cause analysis that scales to complex environments where manual analysis fails, ideal for high-volume, high-value data.
Which monitoring platforms have the best anomaly detection — automatically surfacing regressions without manual threshold tuning?
Most cited sources8
10Correlating logs and traces with full-stack observability
dynatrace.com·Blog Post
- C3
Dynatrace
community.dynatrace.com·Faq
- D2
Synthetic alerting overview — Dynatrace Docs
docs.dynatrace.com·Documentation
- D2
Serverless monitoring — Dynatrace Docs
docs.dynatrace.com·Documentation
- G1
community-examples/agentic ecosystem/GitHub Custom Agent/Dynatrace.md at main
github.com·Documentation
- 1
Use code-level analysis to cut MTTR before you push to production
dynatrace.com·Blog Post
Alternatives in Observability & Monitoring6
Dynatrace occupies the top tier of the enterprise observability market, consistently ranked highest in Ability to Execute in the Gartner Magic Quadrant for Observability Platforms for 15 consecutive years.
- Its primary differentiation is the combination of causal AI (Davis®), a proprietary unified data lakehouse (Grail™), and OneAgent auto-instrumentation—enabling automatic topology mapping, root-cause analysis, and anomaly detection at scale without manual configuration.
- Dynatrace targets the largest global enterprises (focused on 15,000 accounts with $1B+ revenues), distinguishing itself from Datadog's broader SMB-to-enterprise motion and from open-source-centric vendors like Grafana Labs and Elastic.
- Its full-stack, single-agent deployment model and AIOps automation depth set a high bar vs.
- Splunk (acquired by Cisco), New Relic's usage-based simplicity, and cloud-native specialists like Chronosphere.
- The Dynatrace Platform Subscription (DPS) consumption model is positioned as a transparent, scalable alternative to rigid per-host SKUs.
Reviews
Praised
- AI-driven root cause analysis accuracy
- OneAgent zero-config auto-instrumentation
- Comprehensive full-stack visibility in a single platform
- Automatic topology mapping and dependency discovery
- Reduction in alert noise and false positives
- Strong customer and technical support
- Grail data lakehouse query power
- Kubernetes and cloud-native monitoring depth
Criticized
- High cost and opaque minimum annual commitments
- Steep learning curve for advanced features
- Complex initial configuration beyond defaults
- Billing surprises from memory rounding and ephemeral resource metering
- Limited guidance and best-practice documentation during onboarding
- BizEvents siloed from trace/log correlation
- Gaps in OpenTelemetry support for certain runtimes (e.g., .NET 8 Azure Functions)
- User permission validation complexity at enterprise scale
Users consistently praise Dynatrace's AI-driven root-cause analysis, OneAgent auto-discovery, and comprehensive full-stack visibility, describing it as a market-leading tool for reducing alert noise and accelerating incident resolution in complex enterprise environments. The Grail data lakehouse and Davis AI are frequently cited as differentiators. Critical reviews center on high cost (particularly for smaller deployments), a steep learning curve, complex configuration, and occasional onboarding support gaps. Despite pricing concerns, enterprise users generally view Dynatrace as essential infrastructure with strong ROI. Gartner named it a Customers' Choice in the 2024 Voice of the Customer for Observability Platforms.
Pricing
Dynatrace uses a consumption-based Dynatrace Platform Subscription (DPS) model requiring an annual spending commitment with no published minimum. Unit prices decrease at higher commitment tiers. Published rate card examples include Full-Stack Monitoring at approximately $0.08 per GiB-hour, Infrastructure Monitoring at $0.04 per host-hour, and Log Management ingestion at $0.20 per GiB. Synthetic monitoring starts at $0.001 per request. A newer 'Retain with Included Queries' log pricing option offers fixed-cost retention and querying for up to 35 days. There is no free tier; a 15-day free trial is available. Enterprise pricing is negotiated and contract-based. Users report minimum commitments can run ~$20,000+/year for even modest deployments.
Limitations
- Dynatrace is widely noted as expensive, particularly for smaller deployments where minimum annual DPS commitments can significantly exceed actual consumption needs.
- Users report a steep learning curve and complex initial configuration, especially for advanced features beyond OneAgent defaults.
- Billing granularity (memory rounded to quarter-GiB increments, ephemeral resources billed in 15-minute intervals) can create cost surprises.
- Some users note difficulty with user permission validation at scale and limited guidance on best practices during onboarding.
- Certain integration scenarios (e.g., .NET 8 Azure Functions with OpenTelemetry in isolated workloads) have been flagged as poorly documented or unsupported.
- BizEvents are reportedly siloed from trace and log correlation.
- The platform's breadth can be overwhelming for teams that only need point-solution monitoring.
Frequently asked questions
Topic coverageCoverage by buyer topic
Topic Coverage
Prompt-Level Results
| Prompt | Google AI Mode | Gemini Search | Bing Copilot | ChatGPT | Perplexity | Grok |
|---|---|---|---|---|---|---|
Capability2/5 cited (40%) | ||||||
Which observability platforms support business-level metrics like conversion funnels alongside infrastructure and application telemetry? | Neither your brand nor a competitor was cited | Your brand and a competitor were cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which monitoring platforms have the best anomaly detection — automatically surfacing regressions without manual threshold tuning? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
I'm evaluating observability platforms — which ones are best suited for a logs-first approach versus a traces-first approach? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which enterprise observability platforms handle multi-tenant environments with isolated views per team or service best? | Neither your brand nor a competitor was cited | Your brand and a competitor were cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited |
Which observability platforms support real user monitoring alongside backend APM for correlating frontend and backend performance? | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Developer Experience3/5 cited (60%) | ||||||
Which observability platforms have the best ad-hoc query experience for high-cardinality log data during an active incident? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which observability platforms have the best alert management features to help teams reduce alert fatigue through smart routing and thresholds? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited |
Which observability platforms make it easiest for developers new to OpenTelemetry to adopt a trace-first workflow? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited |
Which observability platforms make it easiest to correlate a user-reported error with the right trace and log lines in a distributed system? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited |
Which monitoring platforms offer the best on-call experience — from alert firing through to root cause identification? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Your brand and a competitor were cited |
Integrations & Ecosystem2/5 cited (40%) | ||||||
Which APM tools integrate best with cloud provider managed databases and serverless functions for end-to-end visibility? | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Your brand and a competitor were cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which observability backends support receiving OpenTelemetry data simultaneously to avoid vendor lock-in? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited |
Which observability platforms integrate with deployment pipelines to correlate performance regressions with specific code changes? | A competitor was cited | Your brand and a competitor were cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which observability platforms integrate best with incident management and on-call scheduling tools for a seamless response workflow? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
What log shipping tools work best for getting structured logs from containerized applications to an observability platform without code changes? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited |
Performance & Reliability2/5 cited (40%) | ||||||
What observability platforms offer the best tail-based sampling for high-throughput systems to control costs without losing important traces? | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which SaaS monitoring platforms have the lowest ingestion lag during high-volume log bursts so alerting stays fast? | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Your brand and a competitor were cited |
Which observability platforms handle data retention and query performance best as log volume grows into terabytes per day? | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which cloud observability platforms have the most reliable synthetic monitoring checks with the lowest false positive rates? | Neither your brand nor a competitor was cited | Your brand and a competitor were cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which distributed tracing platforms add the least overhead to latency-sensitive APIs — safe to run in production at full sampling? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Setup & First Run1/5 cited (20%) | ||||||
What's the quickest distributed tracing platform to set up across a microservices architecture on a container orchestration platform? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Your brand and a competitor were cited |
What are the best cloud-hosted observability platforms for migrating from a legacy self-hosted logging stack without losing historical data? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
What observability platforms support unified metrics, traces, and logs instrumentation for Node.js and Python polyglot applications? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
What observability platforms can a small engineering team realistically get to meaningful dashboards and alerting on quickly? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which APM tools have the best day-one onboarding to get immediate value without drowning in noise? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Turn this matrix into daily prompt monitoring.
Track prompt changesVertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | New Relic | 21.3% | 19.2% | 2.0% | 19.3% | 58.0% | #14.7 | +0.44 |
| 2 | Datadog | 15.3% | 18.5% | 4.7% | 9.3% | 76.0% | #16.2 | +0.38 |
| 3 | Splunk | 12.0% | 11.7% | 0.7% | 8.7% | 37.3% | #19.7 | +0.43 |
| 4 | Grafana | 10.0% | 10.0% | 5.3% | 3.3% | 8.7% | #26.1 | +0.50 |
| 5 | Honeycomb | 8.7% | 10.3% | 2.0% | 5.3% | 38.0% | #24.3 | +0.55 |
| 6 | Dynatrace | 8.0% | 12.5% | 6.0% | 3.3% | 53.3% | #40.9 | +0.35 |
| 7 | Better Stack | 6.7% | 5.7% | 0.7% | 0.7% | 8.0% | #13.5 | +0.42 |
| 8 | Logz.io | 4.7% | 2.8% | 0.0% | 4.0% | 4.7% | #9.6 | +0.45 |
| 9 | Coralogix | 4.0% | 2.8% | 0.0% | 0.0% | 5.3% | #6.6 | +0.62 |
| 10 | Elastic | 4.0% | 3.9% | 0.7% | 1.3% | 26.7% | #28.4 | +0.53 |
| 11 | Chronosphere | 1.3% | 1.1% | 0.0% | 0.0% | 4.7% | #21.7 | +0.55 |
| 12 | Axiom | 0.7% | 1.1% | 0.0% | 0.7% | 4.0% | #74.7 | +0.80 |
| 13 | Mezmo | 0.7% | 0.4% | 0.7% | 0.0% | 0.7% | #75.0 | +0.80 |
| 14 | Sentry | 0.0% | 0.0% | 0.0% | 0.0% | 6.7% | — | — |
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