Buying snapshot
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| Decision point | What Dynatrace states |
|---|---|
Coverage | Infrastructure, applications, logs, digital experience (real-user and synthetic monitoring, session replay), application security, threat observability, and AI observability for generative AI applications, LLMs and agents. |
Data collection | OneAgent, deployed once per host; OpenTelemetry metrics and traces via OTLP; custom events from any source via API; OpenPipeline stream processing to ingest and enrich data. |
Integrations | Dynatrace lists 900+ supported technologies. |
Compliance | ISO 27001, SOC 2 Type II, FedRAMP Moderate, HIPAA and more. |
Data residency and access | Choose where data lives across Dynatrace's global data centers. Per-customer separation, encryption in transit and at rest, SSO, granular access policies and IP allow lists. Masking, configurable retention and hard deletion help meet GDPR and CCPA. |
Our take
Choose Dynatrace when you want infrastructure, application, log, user-experience and security monitoring on one platform, and your organization can buy it through one annual spend commitment instead of tool by tool.
Evaluate Dynatrace
Popular comparisons
See all 12 Dynatrace comparisons
Where it stands out
Signals stay connected. Grail, which Dynatrace calls a causal data lakehouse, stores observability, security and business data with indexless, schema-on-read storage. Smartscape maps how apps and infrastructure interact and uses that map to enrich the data, and PurePath records code-level timing for distributed traces end to end.
Automated Kubernetes rollout. The Apache 2.0 Dynatrace Operator manages Dynatrace components in Kubernetes and OpenShift, with modes from host-only monitoring to cloud-native full stack. The Dynatrace Support team supports it.
No seat fees. Every user gets full platform access, with no per-seat fees or user tiers.
Everyday AI at no extra charge. AI Exploration covers DQL queries, anomaly detection, forecasting and log pattern analysis.
Product screenshot
Trade-offs to weigh
Many meters to forecast. Capabilities bill in different units: host-hours or memory-GiB-hours, pods, containers, GiB ingested, retained per day and scanned, datapoints, sessions, and synthetic actions or requests. Usage visibility, forecasting and alerts are built in, but sizing the commitment still means estimating each meter you will use.
Agent tasks outside Assist cost extra. Agentic Operations tasks run directly in Dynatrace Assist are not billed for a limited time, and Dynatrace may change or end that offer on notice. The same tasks through workflows, MCP, the API or a custom app draw AI units today. Dynatrace's reference averages run from 2 AI units to translate DQL into natural language to 30 for an autonomous multi-step investigation, and actual use varies.
Pricing and plan conditions
Dynatrace sells the Dynatrace Platform Subscription: a minimum annual spend commitment at platform level, not per capability or per month. Usage draws down the commitment at rate-card prices, and every generally available capability is open from signing. Unit prices fall as the commitment grows. Use beyond the commitment continues on demand, billed monthly at the same rates with no penalty overages, or you can raise the commitment for a higher discount. A 15-day free trial is available.
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| Capability | Published rate | Billing and what it includes |
|---|---|---|
Foundation & Discovery | $7 / mo per host | Billed at $0.01 per hour per host. Basic host health, host and process topology, filesystem and OS services monitoring, logs in context. |
Infrastructure Monitoring | $29 / mo per host | Billed at $0.04 per hour per host. Everything in Foundation & Discovery, plus process, disk, memory and network analysis and custom metrics. |
Full-Stack Monitoring | $58 / mo per 8 GiB host | Billed at $0.01 per memory-GiB-hour. Everything in Infrastructure Monitoring, plus APM, automated root cause analysis, code-level profiling, Kubernetes Platform Monitoring, OpenTelemetry metrics and traces, and 10 days of trace retention (extendable to 10 years). |
Kubernetes Platform Monitoring | $1.40 / mo per pod | Billed at $0.002 per hour per pod. Included on hosts with Full-Stack Monitoring at no additional charge. |
Code Monitoring | $3.60 / mo per container | Billed at $0.005 per hour per container. Live debugging with non-breaking breakpoints. |
Logs | Pay-per-Query: ingest $0.20 per GiB, retain $0.0007 per GiB-day, query $0.0035 per GiB scanned. Bundled Queries: ingest $0.20 per GiB, retain with included queries $0.02 per GiB-day. | Models can be mixed across the environment. Pay-per-Query retention runs from 1 day to 10 years; Bundled Queries needs at least 10 and up to 35 days of retention with queries included, extendable with the usage-based option. |
Traces and events | Ingest $0.20 per GiB, retain $0.0007 per GiB-day, query $0.0035 per GiB scanned | Traces include 10 days of retention; a trace allowance is included with Full-Stack Monitoring. |
Metrics | Ingest $0.15 per 100k datapoints, retain $0.0007 per GiB-day, query $0 | 15 months at 1-minute granularity included. A custom metrics allowance is included with Full-Stack and Infrastructure Monitoring. |
Real User Monitoring | $2.25 per 1,000 sessions; $4.50 per 1,000 sessions with replay capture | Billed at $0.00225 per session, or $0.0045 per session with replay capture. 35 days of data retention. |
Synthetic Monitoring | Browser: $4.50 per 1,000 synthetic actions. HTTP: $1.00 per 1,000 synthetic requests. | Billed at $0.0045 per synthetic action or $0.001 per synthetic request. 35 days of data retention. |
Application Security | Runtime Vulnerability Analytics and Runtime Application Protection: $13 / mo per 8 GiB host each. Security Posture Management: $5 / mo per host. | Dynatrace positions Runtime Application Protection as an addition to Runtime Vulnerability Analytics. Both are billed at $0.00225 per memory-GiB-hour; Security Posture Management at $0.007 per host-hour. |
Agentic Operations | $0.10 per AI unit | Custom agents, autonomous investigations and access to Dynatrace's agentic capabilities via the remote MCP Server, CLI or API. |
Public signals
About these signals
Verified factual signals from public sources. They indicate observable activity or interest, not total adoption, product quality, or cost.
319 GitHub commits 90d227 GitHub stars0 vulnerabilities across 1 package
See all signals from 6 sources
PyPI · oneagent-sdk@1.5.2.20260107.153442
Alternatives to Dynatrace
The reviewed substitutes for Dynatrace among the observability platforms, and what would make each one the better answer.
Direct alternatives
Reviewed substitutes: products bought for the same job, where a team picks one.
- New Relic
- New Relic and Dynatrace are AI-powered observability platforms that trace issues from user experience down to code and infrastructure. New Relic is a SaaS platform known for code-level diagnostics and flexible querying of telemetry, while Dynatrace leans on automatic discovery, AI-driven root causes and built-in application security.Applies to: Choosing between two products of the same kind for one job.
- Grafana Cloud
- Dynatrace and Grafana Cloud are managed services for monitoring metrics, logs and traces across an application stack. Grafana Cloud is built on open-source tools such as Prometheus and Loki, so dashboards and queries carry over to self-run setups, while Dynatrace is a proprietary platform that leans on automatic instrumentation and AI analysis.Applies to: Choosing between these two for the apm observability decision.
- Observe
- Observe and Dynatrace both ingest traces, metrics and logs, alert on them and support root-cause analysis. Observe stores all telemetry in a data lake linked by a context graph and focuses on lower cost at high volume, while Dynatrace combines monitoring with AI-driven analysis, automation and application security in one platform.Applies to: Choosing the observability backend that will receive OpenTelemetry data and carry on-call.
- Uptrace
- Dynatrace and Uptrace both provide application performance monitoring with traces, metrics and logs. Uptrace is built on OpenTelemetry and ClickHouse and can be self-hosted or used as a cloud service, while Dynatrace is a commercial enterprise platform with its own agent, AI root-cause analysis and application security.Applies to: Choosing between these two for the apm observability decision.
- AppDynamics
- Dynatrace and AppDynamics monitor business-critical applications from code to infrastructure, in the cloud and on premises. Dynatrace leans on AI and automation, finding services and root causes on its own, while AppDynamics, part of Cisco, is known for tracing business transactions and linking app performance to business results.Applies to: Choosing between two products of the same kind for one job.
Other approaches
A different approach to the same problem. Each substitutes only for the workload named beside it.
- Datadog
- Dynatrace is preferred over Datadog for full-stack monitoring workloads that need observability, automation, and application security under one annual platform commitment. **Dynatrace** combines observability, AI, automation, application security, and business-outcome framing in one platform.
- Elastic Observability
- Learn more about Elastic Observability. Elastic Observability resolves problems faster at reduced cost with an open source, AI-powered observability, that is accurate, proactive, and efficient....Applies to: full-stack monitoring workloads with AI, automation, and application-security requirements
- Splunk
- Splunk and Dynatrace both collect, search and alert on logs and monitoring data, and teams move those workloads from one to the other. Splunk is strongest at indexing and searching machine data; Dynatrace is an observability platform that combines monitoring with AI-driven analysis and automation.Applies to: Storing, searching and alerting on logs and monitoring data. Splunk stands in where log search and analysis lead; Dynatrace stands in where automated, AI-assisted monitoring of applications and infrastructure leads.
- Prometheus
- Prometheus and Dynatrace both monitor applications and infrastructure and raise alerts. Prometheus is open source, so the team runs it, configures scraping and builds dashboards and alerts itself. Dynatrace is a commercial platform that discovers services automatically and uses AI to find root causes, so less is assembled by hand.Applies to: Whether monitoring is assembled from open-source components or bought as a platform.