What it is:Dynatrace is a software intelligence and observability platform powered by AI for monitoring applications, microservices, infrastructure, security, and digital experiences in dynamic multi-cloud environments.
Best for:Enterprise organizations (1000+ employees), Cloud-native development teams, Application performance teams
Pricing:Starting from $0.01 per memory-GiB-hour or $58/mo per 8 GiB host
Rating:92/100Excellent
Expert's conclusion:If you're a large enterprise looking for comprehensive AI-based observability so you can solve problems quickly when they occur in your production environment, then Dynatrace is likely your best bet. However, consider whether or not the costs will provide a good value when evaluating the use of Dynatrace for mid-market organizations.
Reviewed byMaxim Manylov·Web3 Engineer & Serial Founder
What Is Dynatrace and What Does It Do?
Dynatrace is a multinational technology corporation with an artificial intelligence powered Observability Platform which delivers real-time monitoring, analysis, and optimization of application performance across cloud, hybrid and multi-cloud computing infrastructures. Founded in 2005 in Linz, Austria, Dynatrace has become one of the leaders in the field of software intelligence, focusing on simplifying the complexities associated with cloud computing, while also enabling digital transformation. Today, over 8,000 Enterprise Customers utilize Dynatrace’s products and services globally; it became a publicly traded company when it debuted on the New York Stock Exchange in 2019.
Active
📍Boston, MA
📅Founded 2005
🏢Public
TARGET SEGMENTS
EnterprisesDevOps TeamsSecurity ProfessionalsDigital Experience Teams
What Are Dynatrace's Key Business Metrics?
💵
$1.5B+
Annual Recurring Revenue (ARR)
👥
4,000+
Customers
📊
100+
Countries
🏢
4,200+
Employees
📊
115%+
Net Retention Rate
📊
$421.9M
Total Funding
💵
$1.6B
Revenue
Rating by Platforms
4.5/ 5
G2 (1,200 reviews)
How Credible and Trustworthy Is Dynatrace?
92/100
Excellent
Dynatrace is a large Publicly Traded Company (OTC) Leader in Observability with Strong Financial Performance, High Customer Retention Rates, Global Reach and Proven Reliability of Its AI-Powered Products Serving Thousands of Enterprises.
BREAKDOWN
Product Maturity95/100
Company Stability95/100
Security & Compliance90/100
User Reviews90/100
Transparency85/100
Support Quality90/100
TRUST SIGNALS
Publicly traded on NYSE (DT)4,000+ enterprise customers$1.5B+ ARR with 115%+ net retentionLeader in Gartner Magic Quadrant for APM/Observability50+ offices in 40+ countriesAI engine Davis with proven root cause analysis
What is the history of Dynatrace and its key milestones?
2005
Company Founded
In 2005, Dynatrace was founded as dynaTrace Software GmbH in Linz, Austria by Bernd Greifeneder with Pioneering Application Performance Management Technology.
2011
Acquired by Compuware
It Was Merged into Compuware’s Portfolio of Enterprise Software to Expand Market Presence.
2014
Thoma Bravo Acquisition & Spin-off
It was taken private by Thoma Bravo, and Re-Founded as Dynatrace Focused on Innovation of Application Performance Monitoring (APM).
2015
Merger with Keynote Systems
It expanded its offerings to Digital Experience Monitoring.
2016
AI-Powered Platform Launch
Introduced Unified Observability Platform and Proprietary AI Engine – Davis.
2019
NYSE IPO
It made its debut as a publicly traded company on the NYSE (DT), raising approximately $570 million to support global expansion.
2021
Rick McConnell CEO
New Leadership Driving Expansion of the Platform and Focus on Cloud Automation.
2024
$1.43B ARR Milestone
Achieved $1.43 billion annual recurring revenue with expansions of Application Security and Cloud Automation.
2025
Boston Headquarters
Unveiled new Corporate Headquarters at Atlantic Wharf, Boston’s LEED Platinum Green Skyscraper.
Who Are the Key Executives Behind Dynatrace?
Rick McConnell— Chief Executive Officer
Appointed CEO in 2021, leading the growth of Dynatrace as a Public Company Leader in Enterprise SaaS, while Overseeing Strategy for Global Expansion and Product Innovation.
Founder of Dynatrace Since 2005 and Original Visionary Behind dynaTrace APM Technology. He Directs Product Innovation Including the AI Engine – Davis and the Unified Observability Platform.
Jim Benson— Chief Financial Officer
Responsible for Developing Financial Strategies Supporting Growth of Over $1.5 Billion+ Annual Recurring Revenue and Execution of the Company in the Public Markets. He has extensive experience growing enterprise software companies.
Jill Ward— Chair of the Board of Directors
Provide strategic oversight to help Dynatrace evolve as a publicly traded company and maintain its position of market leadership.
How Much Does Dynatrace Cost and What Plans Are Available?
Pricing information with service tiers, costs, and details
☐Service
$Cost
ℹDetails
🔗Source
Full-Stack Monitoring
$0.01 per memory-GiB-hour or $58/mo per 8 GiB host
Complete application performance monitoring with AI causation
Official rate card
Infrastructure Monitoring
$0.04 per host-hour or $29/mo per host
Host and cloud infrastructure monitoring
Official rate card
Kubernetes Platform Monitoring
$1.40/mo per pod
Native Kubernetes observability
PriceTimeline
Real User Monitoring
$2.25 per 1,000 sessions
Digital experience monitoring
PriceTimeline
Log Analytics (Retain with Included Queries)
Fixed low cost for 35-day retention and queries
Predictable pricing, no additional query costs
Dynatrace blog
Dynatrace Platform Subscription (DPS)
Minimum annual spend commitment
Consumption-based with volume discounts, full platform access
—
Full-Stack Monitoring$0.01 per memory-GiB-hour or $58/mo per 8 GiB host
Complete application performance monitoring with AI causation
Official rate card
Infrastructure Monitoring$0.04 per host-hour or $29/mo per host
Host and cloud infrastructure monitoring
Official rate card
Kubernetes Platform Monitoring$1.40/mo per pod
Native Kubernetes observability
PriceTimeline
Real User Monitoring$2.25 per 1,000 sessions
Digital experience monitoring
PriceTimeline
Log Analytics (Retain with Included Queries)Fixed low cost for 35-day retention and queries
Consumption-based with volume discounts, full platform access
How Does Dynatrace Compare to Competitors?
Feature
Dynatrace
New Relic
Datadog
AppDynamics
Core Functionality
Full-stack observability + AI
Full-stack observability
Infrastructure + logs
APM focused
Anomaly Detection
Davis AI (Yes)
Yes
Yes
Cognition Engine (Yes)
Pricing Model
Usage-based hourly
Usage-based
Host + usage
Socket-based
Starting Price
$0.04/host-hour
$0.30/GB data
$15/host/mo
Custom quote
Free Tier
No
100GB free/mo
Limited free
No
Enterprise SSO
Yes
Yes
Yes
Yes
API Availability
Yes
Yes
Yes
Yes
Integration Count
500+
500+
600+
200+
Support Options
24/7 enterprise
24/7 enterprise
24/7 enterprise
24/7 enterprise
Security Certifications
SOC 2, ISO 27001
SOC 2, ISO 27001
SOC 2, ISO 27001
SOC 2
Core Functionality
DynatraceFull-stack observability + AI
New RelicFull-stack observability
DatadogInfrastructure + logs
AppDynamicsAPM focused
Anomaly Detection
DynatraceDavis AI (Yes)
New RelicYes
DatadogYes
AppDynamicsCognition Engine (Yes)
Pricing Model
DynatraceUsage-based hourly
New RelicUsage-based
DatadogHost + usage
AppDynamicsSocket-based
Starting Price
Dynatrace$0.04/host-hour
New Relic$0.30/GB data
Datadog$15/host/mo
AppDynamicsCustom quote
Free Tier
DynatraceNo
New Relic100GB free/mo
DatadogLimited free
AppDynamicsNo
Enterprise SSO
DynatraceYes
New RelicYes
DatadogYes
AppDynamicsYes
API Availability
DynatraceYes
New RelicYes
DatadogYes
AppDynamicsYes
Integration Count
Dynatrace500+
New Relic500+
Datadog600+
AppDynamics200+
Support Options
Dynatrace24/7 enterprise
New Relic24/7 enterprise
Datadog24/7 enterprise
AppDynamics24/7 enterprise
Security Certifications
DynatraceSOC 2, ISO 27001
New RelicSOC 2, ISO 27001
DatadogSOC 2, ISO 27001
AppDynamicsSOC 2
How Does Dynatrace Compare to Competitors?
vs New Relic
Dynatrace is leading in the use of Davis AI for Causal AI and Full-Stack Observability. While New Relic may have a broader free trial version of their product, it is not as advanced in terms of AI capabilities. The Dynatrace product is more complex than that of New Relic, however, it has significantly greater enterprise-wide adoption.
For teams looking for AI driven Root Cause Analysis or for teams looking to save money on APM solutions, Dynatrace is the clear winner. For cost conscious teams, New Relic is the better option.
vs Datadog
Datadog is leading in the area of Infrastructure Monitoring with over 600 different integration points. However, Dynatrace provides much greater depth in Application Context as well as AI Automation. For example, while Datadog is generally lower cost for logging, Dynatrace is lower cost for APM (Application Performance Management).
For teams who need a tool for DevOps and/or Infrastructure, Datadog is the better solution. For teams who need a tool for application owners, Dynatrace is the better choice.
vs AppDynamics (Cisco)
New Relic is currently the #1 provider of Enterprise APM solutions in the world. New Relic’s pricing is based on socket counts and is often criticized for being too complex. Dynatrace, on the other hand, uses an hourly pricing model which makes it easier for customers to budget. Both products are feature rich and offer many powerful tools for enterprises to manage their applications, however, Dynatrace is significantly ahead of New Relic in terms of AI innovation.
For teams developing Cloud-Native Applications, Dynatrace is the better solution. For teams developing Traditional Enterprise Applications, AppDynamics is the better solution.
vs Splunk
Splunk is by far the largest player in the Log Analytics Market and is also among the most expensive. On the other hand, Dynatrace offers Unified Observability across all areas including Logs and is priced very competitively for log data. While Splunk is the best solution for Pure SIEM (Security Information and Event Management), Dynatrace is the best solution for Unified Observability.
For teams looking for a Unified Platform Solution for APM and Observability, Dynatrace is the better choice. For teams looking for a Specialized Log/SIEM solution, Splunk is the better choice.
What are the strengths and limitations of Dynatrace?
Pros
✅Davis AI Causation Engine – Automatically identifies root causes without manual configuration
✅True Full-Stack Observability – Applications, Infrastructure, User Experience and Security in One Platform
✅Hourly Consumption Pricing – Only pay for what you actually use, scales predictably
✅Grail Data Lakehouse – Unified Observability data with sub second query performance
✅Native Kubernetes Support – Automatic Discovery and Monitoring at Pod Level
✅Strong Enterprise Adoption – Many Fortune 500 Companies Trust Dynatrace for Mission-Critical Apps
❌Complex Pricing Model – Requires Careful Planning and Cost Allocation
❌No Free Tier – Minimum Commitment Needed for Small Teams
❌The steep learning curve of advanced features means that users need training on how to use them
❌High costs mean that the system may be too expensive for the workload it will monitor when the workload is small
❌There is a risk of vendor lock-in due to the proprietary nature of both Davis Data Units and Grail Architecture
❌Managing agents has a lot of overhead as they have to be deployed into large-scale, distributed environments
❌Users are limited in their ability to customize metrics, which could result in additional costs
Who Is Dynatrace Best For?
Best For
✅Enterprise organizations (1000+ employees) — The full range of features justifies the investment in complex hybrid/multi-cloud environments
✅Cloud-native development teams — Observability natively supports Kubernetes, serverless, and microservices using AI automation
✅Application performance teams — Davis AI provides causal root cause analysis in addition to correlation-based root cause analysis
✅Digital experience owners — Provides complete Real User Monitoring (RUM) + synthetic monitoring and session replay
✅Security and compliance teams — Includes runtime vulnerability analytics + security posture management
Not Suitable For
❌Small startups (<50 employees) — Does not offer a free tier, nor does it offer a minimum commitment that is low. Compare to Datadog or New Relic, both of whom offer a free tier.
❌Simple infrastructure monitoring only — Too much for simply monitoring servers. Use Grafana + Prometheus instead.
❌Budget-constrained SMBs — Only enterprise pricing available; look at open-source or low-cost alternatives.
❌Log-only analytics needs — For pure log solutions consider Splunk or an ELK Stack if you're looking for something specific.
Are There Usage Limits or Geographic Restrictions for Dynatrace?
Pricing Model
Consumption-based hourly with minimum annual commitment
Host-Based Monitoring
Billed per host-hour regardless of size (Infrastructure)
Memory-Based Monitoring
Billed per memory-GiB-hour (Full-Stack)
Log Retention
35 days included queries (Retain plan), usage-based beyond
Davis Data Units (DDU)
Custom metrics, logs, traces consumption-based
Session Limits
$2.25 per 1,000 RUM sessions
Synthetic Monitoring
$4.50 per 1,000 browser sessions, $1 per 1,000 HTTP requests
Free Tier
Contract Terms
1-3 year agreements with minimum annual spend
Is Dynatrace Secure and Compliant?
SOC 2 Type IIRegular independent audits for security, availability, processing integrity, confidentiality, privacy
ISO 27001Certified information security management system
ISO 27017/27018Cloud-specific security controls and PII protection
GDPR ComplianceFull compliance with data protection regulations including DPA
Data EncryptionTLS 1.3 in transit, AES-256 at rest across all data stores
RBAC & Audit LogsGranular role-based access control with comprehensive audit trails
Runtime Vulnerability AnalyticsContinuous application security monitoring at runtime
What Customer Support Options Does Dynatrace Offer?
Channels
Toll-free US: (888) 833-3652; Regional numbers worldwide; Business hours for Standard, 24/7 for EnterpriseIn-product chat available; Business hours (M-F) for Standard, 24/7 for EnterpriseVia https://support.dynatrace.com/; All tiersDynatrace Community forums; Self-service for all tiersdynatraceone@dynatrace.com for technical support; concerns@dynatrace.com for ethics
Hours
Standard: Business hours (M-F); Enterprise: 24/7/365
Response Time
Standard: Critical 4h, High next day, Medium 2 days, Low 4 days. Enterprise: Critical 30min, High 4h, Medium 1 day, Low 2 days.
Satisfaction
Mixed user reviews; phone access praised but wait times criticized
Specialized
Technical Account Managers and Customer Success Managers for Enterprise
•Phone support varies by region and tier; not 24/7 for Standard
•No guaranteed weekend support for Standard tier
•Advanced features like named TAM require Enterprise Success package
What APIs and Integrations Does Dynatrace Support?
API Type
REST API v2 with OpenAPI specifications; supports Environment and Cluster v2 APIs
Authentication
API tokens (read, write scopes); OAuth 2.0; supports single-tenant and multi-tenant
Webhooks
Available via Problem Notifications and custom integrations; event-driven alerts
SDKs
Official: Java, .NET, REST Client. Community: Python, Node.js, Go via GitHub
Documentation
Comprehensive at dynatrace.com/support/help/dynatrace-api; interactive examples and code samples
Sandbox
Demo environments available; free trial tenants for testing without production data
SLA
99.5% platform uptime (Standard), 99.95% (Enterprise); API monitored via status.dynatrace.com
Rate Limits
Token-based: 500 requests/min default, configurable up to 10,000/min for Enterprise
Use Cases
Custom dashboards, automation, data export, integrations with ServiceNow/PagerDuty/Slack, extension development
What Are Common Questions About Dynatrace?
Dynatrace provides Standard Support (business-hours chat/ticketing) for all customers and Enterprise Support (24/7 with priority response) to those who purchase Enterprise Support. Additionally, phone support is available through local telephone numbers and self-service is available through community forums and documentation.
Dynatrace employs Davis AI, a causal, context aware AI engine that automatically creates a baseline of "normal" behavior for each application, service, and user experience and detects anomalies in real-time across applications, services, and user experiences. Additionally, Davis Data Units link problems from end-to-end through the entire technology stack.
Dynatrace provides complete stack observability through automatic topology mapping and causal AI, reducing the amount of manual configuration needed compared to competitors. While Datadog is strong in metrics and New Relic is broad in Application Performance Management (APM), Dynatrace provides unified analytics with more automation and AI-driven insights than either competitor.
YES – Dynatrace is SOC 2 Type II, ISO 27001, GDPR, and FedRAMP Compliant. All data is stored encrypted at-rest (AES-256) and transmitted encrypted (TLS 1.3). In addition, we have tenant isolation and perform continuous security monitoring through Runtime Vulnerability Analytics.
We support integration with over 600 different tools (AWS, Kubernetes, ServiceNow, PagerDuty, Slack etc.) as well as custom API’s. Our OneAgent tool will automatically discover your environment and our Extensions 2.0 tool will allow you to create custom plugins for any technology.
Our Enterprise Support program offers 24/7/365 coverage with a 30 minute response time for Critical issues. If you are a Standard customer, you can utilize our Community Forums, Documentation, or in-product Chat feature (Business Hours Only).
YES – Dynatrace offers fully featured 15 day Trials of both SaaS and Managed Deployments. Your trial account will have access to Davis AI, full stack monitoring, and support to help you evaluate our Platform.
Standard Support will offer a slower response time and will be available Monday-Friday (Business Hours). To contact phone support, you will need to know your Regional Number. Advanced TAM Services require an Enterprise package.
Is Dynatrace Worth It?
Dynatrace is the Gold Standard for Enterprise Full Stack Observability. It uses AI powered Anomaly Detection, Automatic Instrumentation, and Root Cause Analysis across complex Hybrid/Multi-Cloud Environments. The maturity of our Platform, Extensive Integrations, and Proven Scalability makes us Ideal for Large Organizations; however the Premium Pricing and Complexity makes it better suited for Mission-Critical Operations versus Simple Monitoring Needs.
Recommended For
Large Enterprises with Complex Micro-Services and Multi-Cloud Environments
DevOps/SRE Teams that Need Automatic Root Cause Analysis and AI Insights
Organizations that Prioritize Full Stack Visibility Including User Experience
Companies Already Using OneAgent Compatible Technologies
!
Use With Caution
Mid-Market Companies that are Sensitive to Cost - Evaluate Against Less Expensive Alternatives First
Teams New to Observability - Steep Learning Curve Despite Automation
Pure Developers/Small Startups - May be Overkill for Simple Applications
Not Recommended For
A lot of small-to-medium-sized businesses (SMBs) are budget-constrained. For those businesses, Datadog/New Relic/Sentry is a more cost-effective choice.
The majority of SMBs only need to monitor simple metrics. In that case, Grafana/Prometheus will be enough.
If an organization has only on-premises systems, it may not have access to SaaS-based services due to strict air-gapping rules.
Expert's Conclusion
If you're a large enterprise looking for comprehensive AI-based observability so you can solve problems quickly when they occur in your production environment, then Dynatrace is likely your best bet. However, consider whether or not the costs will provide a good value when evaluating the use of Dynatrace for mid-market organizations.
Best For
Large Enterprises with Complex Micro-Services and Multi-Cloud EnvironmentsDevOps/SRE Teams that Need Automatic Root Cause Analysis and AI InsightsOrganizations that Prioritize Full Stack Visibility Including User Experience
What do expert reviews and research say about Dynatrace?
Key Findings
Dynatrace offers three tiers of support: standard, premium, and enterprise, which includes 24/7 coverage using its AI-powered REST APIs as well as comprehensive documentation. The company's strong focus on enterprises is evident through its global phone support, 600+ integrations and the fact that it has been able to successfully detect anomalies throughout entire application stacks with its Davis AI. Dynatrace is a mature product that clearly differentiates itself between its Standard and Enterprise versions.
Data Quality
Good - comprehensive details from official support policy, contact pages, and trust center. User reviews mixed on response times. Some regional phone details from third-party aggregators.
Risk Factors
!
To receive a quote for premium-priced products, you'll have to contact a sales representative.
!
During off-hours, the level of support available to Standard users is limited.
!
Whether or not there is a local phone number available for each region will depend on the specific region.
Last updated: February 2026
What Additional Information Is Available for Dynatrace?
Global Presence
Dynatrace has maintained over 20 regional support phone numbers in areas such as the Americas, EMEA, and APAC. The company's headquarters is located in Waltham, Massachusetts and also has major offices in Austria, Spain and India. It serves Fortune 500 companies around the world.
Platform SLAs
Dynatrace offers a 99.5% uptime guarantee to Standard users, and a 99.95% uptime guarantee to Enterprise Success users. Current status information is available at dynatrace.status.io in addition to the company providing real-time health information.
Customer Success
In addition to named customer success managers and technical account managers, Enterprise Success users also get quarterly business reviews. Additionally, the company offers certification and on-demand training options through Dynatrace University.
Davis AI Engine
Using causal AI, Dynatrace provides context-aware anomaly detection that eliminates up to 90% of the "noise" generated from traditional alerting methods, while automatically creating baseline models for normal behavior across the full stack of observability.
FedRAMP Authorization
Dynatrace for Government provides cloud-based monitoring that meets compliant standards for U.S. federal government agencies. This includes Monday through Friday coverage from 8 a.m.-7 p.m. ET, plus weekend coverage.
What Are the Best Alternatives to Dynatrace?
•
Datadog: Uses a robust metric, logging, and application performance monitoring (APM) system that is native to the cloud. Also offers an even lower price point than Dynatrace for entry into the product line. The user interface is also easier for developers to use than Dynatrace; however, it has fewer features in its artificial intelligence (AI) capabilities. This is ideal for the developer/DevOps teams that need to quickly implement monitoring solutions across multiple cloud-based systems. (datadoghq.com)
•
New Relic: Provides full-stack visibility using a single, entity-centric view of all your data. New Relic provides better price transparency and a free trial version compared to Dynatrace. It excels at providing custom dashboards but does not automatically discover your topologies like Dynatrace. This solution is best for mid-sized businesses that require flexibility. (newrelic.com)
•
AppDynamics (Cisco): Offers enterprise-level Application Performance Monitoring (APM) specifically for business transaction tracing. New Relic offers several advantages over Dynatrace with regards to its deep level of support for Java and .NET as well as its integration with Cisco products. However, this solution will typically require much more manual configuration. This solution is best suited for large organizations that are heavily invested in the Cisco ecosystem. (appdynamics.com)
•
Elastic Observability: Offers unified views of logs, metrics, and APM based on the ELK Stack (Elasticsearch, Logstash, Kibana). This solution is significantly less expensive than Dynatrace because it was developed from an open source base. New Relic excels at searching through large volumes of data but lags behind Dynatrace when it comes to automatically identifying root causes. This solution is best for organizations with high volumes of logs and those that are cost sensitive. (elastic.co)
•
Grafana + Prometheus: Offers a flexible, open source stack for creating custom metrics and visualizations. Unlike Dynatrace, there is no licensing cost associated with using Grafana. However, due to its open source nature, users must be willing to invest significant resources in configuring their own solutions. This solution is best for Kubernetes native teams that are familiar with working with YAML configurations. (grafana.com)
What Anomaly Detection Methods Does Dynatrace Use?
