Audyense
Dynatrace
VerifiedDevOps · www.dynatrace.com
Overview
Dynatrace is a unified observability and application performance monitoring platform that uses its Davis AI engine to automatically detect problems and root causes across cloud, hybrid, and multicloud environments. It combines APM, infrastructure monitoring, log analytics, distributed tracing, digital experience, and application security in one platform. It is aimed primarily at large, complex enterprise environments.
The problem Dynatrace solves
Teams running complex cloud and hybrid environments struggle to find the root cause of performance problems when telemetry is scattered across separate APM, logging, tracing, and infrastructure tools. Dynatrace solves this by unifying those signals on one platform and using its Davis AI engine to automatically map dependencies and pinpoint the cause of an issue, so SRE and DevOps teams spend less time correlating dashboards. It fits large enterprises where downtime is costly enough to justify a premium, usage-based platform.
Decision context
Use these points to test whether the product fits your operation, not just whether it has a long feature list.
- Published starting price: $7 per host / month. Confirm user, usage, and feature limits for the plan you would actually buy.
- Deployment: cloud, on_premise, hybrid. Check security, data-residency, and access requirements for every team that will use it.
- Verified integrations include Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, Kubernetes, Red Hat OpenShift, Docker. Validate sync direction and plan limits for the connections that matter.
- This record was last checked on 7/22/2026; pricing and features can change.
How to evaluate Dynatrace
A listing helps create a shortlist; a trial with the team’s real workflow decides whether the tool fits. Use this reading with the structured facts and confirm changes with the vendor.
Workflow fit
The record describes it as a fit for Large enterprises with complex hybrid/multicloud estates, Teams wanting automated AI root-cause analysis over manual dashboards, Mission-critical workloads where downtime cost justifies premium spend. Check that this context matches the volume, roles, and processes your team needs it to support.
Pilot questions
- Can Dynatrace complete the critical workflow without manual work outside the product?
- Do the recorded connections (Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, Kubernetes) support the sync direction, permissions, and volume we need?
- What user, usage, storage, support, or security limits appear after the headline starting price?
Evidence and freshness
This record was checked on 7/22/2026. That date tells you when the record was reviewed, not that the vendor has left its terms unchanged since then.
Best for
- Large enterprises with complex hybrid/multicloud estates
- Teams wanting automated AI root-cause analysis over manual dashboards
- Mission-critical workloads where downtime cost justifies premium spend
Not a fit if
- Startups and small teams on tight budgets
- Users wanting simple, fully predictable flat-rate pricing
Why it’s listed
- One of the leading full-stack observability and APM platforms for DevOps/SRE teams
- Covers core DevOps monitoring needs: APM, tracing, infrastructure, logs, and alerting in one platform
- Deep Kubernetes, cloud, and CI/CD ecosystem integration via a 700+ item Hub
Pricing
Foundation & Discovery
$7 per host/mo (billed $0.01/host-hour)Entry-level infrastructure visibility and inventory discovery across hosts.
- Host and process discovery
- Basic infrastructure metrics
- Topology mapping
- Usage-based hourly billing
Infrastructure Monitoring
$29 per host/mo (billed $0.04/host-hour)Full infrastructure monitoring for hosts, network, and cloud resources.
- Host, network, and log metrics
- Cloud and Kubernetes platform monitoring
- Davis AI anomaly detection
- Alerting on infrastructure health
Full-Stack Monitoring
$58 per 8 GiB host/mo (billed $0.01/GiB-hour)End-to-end APM with code-level and distributed tracing across the full stack.
- Application performance monitoring (APM)
- PurePath distributed tracing
- Code-level and method-level visibility
- Automatic service and dependency mapping
- Real user and synthetic monitoring add-ons
Log Management & Analytics
Custom pricingUsage-based log ingest, retention, and query on the Grail data lakehouse.
- Log ingest at $0.20/GiB
- Retention billed per GiB-day
- Query billed per GiB scanned
- Unified with metrics and traces
Features
Integrations
Security & compliance
Pros & cons
Pros
- Davis AI automatically surfaces problems and root cause with minimal manual configuration
- Deep end-to-end distributed tracing (PurePath) and automatic service/dependency mapping
- Broad single-platform coverage: APM, infrastructure, logs, RUM, and security
- Responsive, high-quality customer support
Cons
- Premium pricing that becomes expensive at scale and deters smaller teams
- Usage-based licensing model is confusing and hard to forecast for annual contracts
- Steep learning curve and complexity for full configuration
- Documentation is not always current, sometimes forcing support tickets
What we found
Reviewers consistently praise Dynatrace's automatic root-cause AI, deep end-to-end tracing, and strong support, while frequently flagging premium pricing and setup complexity as drawbacks.
Ratings and review counts come from public review platforms. We link to the original source and keep the underlying review text out of this profile.
User reviews
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