Dynatrace vs Datadog
type: WebPage
description: Dynatrace excels in AI-powered root cause analysis with superior automatic baselining, while Datadog offers broader integration coverage (600+ integrations vs 450+) and lower entry-level pricing for small teams. Both are enterprise-grade APM platforms, but Dynatrace's strength lies in predictive analytics for complex environments, whereas Datadog wins on ease of adoption and ecosystem breadth.
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date published: 2026-07-08T14:23:16.944Z
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caption: Dynatrace vs Datadog — Side-by-side comparison on A Versus B

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Dynatrace vs Datadog
type: Article
type: TechArticle
abstract: Dynatrace excels in AI-powered root cause analysis with superior automatic baselining, while Datadog offers broader integration coverage (600+ integrations vs 450+) and lower entry-level pricing for small teams. Both are enterprise-grade APM platforms, but Dynatrace's strength lies in predictive analytics for complex environments, whereas Datadog wins on ease of adoption and ecosystem breadth.
description: Dynatrace excels in AI-powered root cause analysis with superior automatic baselining, while Datadog offers broader integration coverage (600+ integrations vs 450+) and lower entry-level pricing for small teams. Both are enterprise-grade APM platforms, but Dynatrace's strength lies in predictive analytics for complex environments, whereas Datadog wins on ease of adoption and ecosystem breadth.
language: en-US
main entity of page: Dynatrace vs Datadog
content reference time: 2026-07-08T14:23:16.983Z
author: A Versus B
publisher: A Versus B
date published: 2026-07-08T14:23:16.944Z
date created: 2026-07-08T14:23:16.944Z
date modified: 2026-07-08T14:23:16.983Z
text: Choose Dynatrace if you operate complex enterprise environments with thousands of services where predictive AI-driven anomaly detection and automatic baselining justify premium pricing—its Davis AI reduces MTTR by an average of 40% versus manual alerting. Choose Datadog if you need rapid deployment, broad third-party ecosystem integration, and cost-efficiency for mid-market teams; its lower log ingestion costs and shallower learning curve make it ideal for organizations without dedicated observability engineering teams.
genre: Software
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potential action: Compare Dynatrace vs Datadog
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  target: Dynatrace vs Datadog
  object: Dynatrace
  object: Datadog
about: Dynatrace
about: Datadog
mentions: AI Root Cause Analysis
mentions: Pre-Built Integrations
mentions: Starting Monthly Price (Small Team)
mentions: User Interface Learning Curve
mentions: Log Ingestion (per GB/day)
mentions: Session Replay Quality
mentions: Multi-Cloud Support Maturity
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citation: Dynatrace — Wikipedia
citation: Datadog — Wikipedia
significant link: https://www.aversusb.net/entity/dynatrace
significant link: https://www.aversusb.net/alternatives/dynatrace
significant link: https://www.aversusb.net/entity/datadog
significant link: https://www.aversusb.net/alternatives/datadog
significant link: https://www.aversusb.net/api/answer/dynatrace-vs-datadog)
significant link: https://www.aversusb.net/api/knowledge-graph/dynatrace-vs-datadog)

A Versus B
type: Organization

Dynatrace
type: SoftwareApplication
description: AI-powered SaaS application performance monitoring platform with automated root cause analysis
language: en-US
image: ImageObject
  caption: Dynatrace
subject of: Dynatrace vs Datadog

Datadog
type: Thing
description: Comprehensive observability platform with 600+ integrations, supporting metrics, logs, traces, and RUM.
language: en-US
image: ImageObject
  caption: Datadog
subject of: Dynatrace vs Datadog

Dynatrace vs Datadog — Comparison Data
type: Dataset
description: Structured comparison data for Dynatrace vs Datadog with 190 attributes.
language: en-US
license: https://creativecommons.org/licenses/by/4.0/
creator: A Versus B
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variable measured: AI-Powered Root Cause Analysis
variable measured: Query Language Flexibility
variable measured: Community Size & Resources
variable measured: Infrastructure Setup Complexity

Dynatrace vs Datadog — Attribute Category Vocabulary
type: DefinedTermSet
language: en-US
description: Taxonomy of attribute categories used to classify comparison data for Dynatrace vs Datadog.
has defined term: Coverage
has defined term: Data Management
has defined term: Deployment
has defined term: Cost
has defined term: Implementation
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has defined term: Features
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has defined term: Operations
has defined term: Pricing
has defined term: Onboarding
has defined term: Language Support
has defined term: Monitoring
has defined term: Observability
has defined term: AI Capabilities
has defined term: Ecosystem
has defined term: Monitoring Depth
has defined term: Commercial
has defined term: AI & Analytics
has defined term: Performance Impact
has defined term: Pricing & Cost
has defined term: Application Performance
has defined term: Trial Access
has defined term: Market
has defined term: Performance Monitoring
has defined term: User Satisfaction
has defined term: Intelligence
has defined term: Performance
has defined term: Scalability
has defined term: Developer Experience
has defined term: AI/Analytics
has defined term: Integrations
has defined term: Customer Satisfaction
has defined term: Total Cost of Ownership
has defined term: Deployment & Speed
has defined term: Ease of Use
has defined term: Customization
has defined term: Support & Ecosystem
has defined term: Functionality
has defined term: Storage
has defined term: Infrastructure
has defined term: Usability
has defined term: Accessibility
has defined term: Reliability
has defined term: Support
has defined term: Security
has defined term: Industry Recognition
has defined term: APM
has defined term: Deployment & Usability
has defined term: Infrastructure Monitoring
has defined term: Core Features
has defined term: Privacy & Control
has defined term: Mobile Support
has defined term: Data Retention
has defined term: Market Position

Coverage
type: DefinedTerm
term code: coverage
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Data Management
type: DefinedTerm
term code: data-management
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Deployment
type: DefinedTerm
term code: deployment
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Cost
type: DefinedTerm
term code: cost
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Implementation
type: DefinedTerm
term code: implementation
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Integration
type: DefinedTerm
term code: integration
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Compatibility
type: DefinedTerm
term code: compatibility
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Features
type: DefinedTerm
term code: features
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Community
type: DefinedTerm
term code: community
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Operations
type: DefinedTerm
term code: operations
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Pricing
type: DefinedTerm
term code: pricing
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Onboarding
type: DefinedTerm
term code: onboarding
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Language Support
type: DefinedTerm
term code: language-support
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Monitoring
type: DefinedTerm
term code: monitoring
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Observability
type: DefinedTerm
term code: observability
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

AI Capabilities
type: DefinedTerm
term code: ai-capabilities
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Ecosystem
type: DefinedTerm
term code: ecosystem
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Monitoring Depth
type: DefinedTerm
term code: monitoring-depth
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Commercial
type: DefinedTerm
term code: commercial
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

AI & Analytics
type: DefinedTerm
term code: ai-&-analytics
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Performance Impact
type: DefinedTerm
term code: performance-impact
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Pricing & Cost
type: DefinedTerm
term code: pricing-&-cost
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Application Performance
type: DefinedTerm
term code: application-performance
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Trial Access
type: DefinedTerm
term code: trial-access
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Market
type: DefinedTerm
term code: market
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Performance Monitoring
type: DefinedTerm
term code: performance-monitoring
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

User Satisfaction
type: DefinedTerm
term code: user-satisfaction
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Intelligence
type: DefinedTerm
term code: intelligence
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Performance
type: DefinedTerm
term code: performance
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Scalability
type: DefinedTerm
term code: scalability
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Developer Experience
type: DefinedTerm
term code: developer-experience
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

AI/Analytics
type: DefinedTerm
term code: ai/analytics
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Integrations
type: DefinedTerm
term code: integrations
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Customer Satisfaction
type: DefinedTerm
term code: customer-satisfaction
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Total Cost of Ownership
type: DefinedTerm
term code: total-cost-of-ownership
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Deployment & Speed
type: DefinedTerm
term code: deployment-&-speed
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Ease of Use
type: DefinedTerm
term code: ease-of-use
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Customization
type: DefinedTerm
term code: customization
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Support & Ecosystem
type: DefinedTerm
term code: support-&-ecosystem
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Functionality
type: DefinedTerm
term code: functionality
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Storage
type: DefinedTerm
term code: storage
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Infrastructure
type: DefinedTerm
term code: infrastructure
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Usability
type: DefinedTerm
term code: usability
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Accessibility
type: DefinedTerm
term code: accessibility
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Reliability
type: DefinedTerm
term code: reliability
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Support
type: DefinedTerm
term code: support
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Security
type: DefinedTerm
term code: security
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Industry Recognition
type: DefinedTerm
term code: industry-recognition
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

APM
type: DefinedTerm
term code: apm
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Deployment & Usability
type: DefinedTerm
term code: deployment-&-usability
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Infrastructure Monitoring
type: DefinedTerm
term code: infrastructure-monitoring
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Core Features
type: DefinedTerm
term code: core-features
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Privacy & Control
type: DefinedTerm
term code: privacy-&-control
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Mobile Support
type: DefinedTerm
term code: mobile-support
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Data Retention
type: DefinedTerm
term code: data-retention
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

Market Position
type: DefinedTerm
term code: market-position
in defined term set: Dynatrace vs Datadog — Attribute Category Vocabulary

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-07-08T14:23:16.983Z
author: A Versus B
publisher: A Versus B
is part of: Dynatrace vs Datadog
main entity: Which platform has lower total cost of ownership for a 500-service environment?
  type: Question
  accepted answer: Answer
    text: Datadog typically costs 30-40% less for large-scale deployments due to significantly cheaper log ingestion ($0.10-0.15/GB vs $1.20-1.60/GB). For a mid-sized company ingesting 50TB of logs monthly, Datadog costs approximately $75,000/year versus Dynatrace at $240,000/year. However, Dynatrace's superior anomaly detection may reduce operational overhead, potentially offsetting some cost differences.
    language: en-US
main entity: How do the AI/anomaly detection capabilities compare?
  type: Question
  accepted answer: Answer
    text: Dynatrace's Davis AI automatically establishes baselines and detects anomalies without manual configuration, reducing false positives by 35-45%. Datadog requires manual threshold tuning or uses statistical models, resulting in higher false positive rates (typically 20-30% more alerts). For complex environments with seasonal patterns or irregular traffic, Dynatrace's automatic baselining is substantially more effective.
    language: en-US
main entity: Which platform is faster to implement for a startup?
  type: Question
  accepted answer: Answer
    text: Datadog achieves functional observability in 2-3 weeks for most startups due to its simpler UI and 600+ pre-built integrations. Dynatrace typically requires 6-8 weeks of configuration and tuning, plus dedicated training. For time-to-value, Datadog is 50-60% faster, making it better for rapid scaling environments.
    language: en-US
main entity: Can I use both platforms together in a hybrid setup?
  type: Question
  accepted answer: Answer
    text: Yes, both platforms can coexist. Many enterprises use Datadog for broad integration coverage and cost-effective log storage while using Dynatrace for critical production services requiring advanced AI-driven root cause analysis. This hybrid approach costs more but optimizes for both coverage and precision, typically used by large financial services and healthcare organizations.
    language: en-US
main entity: Which is better for Kubernetes and containerized environments?
  type: Question
  accepted answer: Answer
    text: Both platforms excel in Kubernetes monitoring. Datadog has slightly better out-of-the-box Kubernetes integrations (20+ pre-built dashboards) and faster container-native adoption, while Dynatrace offers superior service mesh observability and automatic dependency mapping for complex microservices. For pure Kubernetes-focused deployments, Datadog is easier; for complex multi-service architectures, Dynatrace's automation provides more value.
    language: en-US

Gartner Peer Reviews Score
type: PropertyValue
value reference: Customer Satisfaction

Typical Enterprise Annual Cost (1000 hosts)
type: PropertyValue
value reference: Total Cost of Ownership

Mean Time to Resolution (MTTR)
type: PropertyValue
value reference: Performance

Time to First Production Insight
type: PropertyValue
value reference: Deployment & Speed

Automatic Instrumentation Coverage
type: PropertyValue
value reference: Ease of Use

Starting Annual Cost
type: PropertyValue
value reference: Pricing

AI-Powered Root Cause Analysis
type: PropertyValue
value reference: Intelligence

Query Language Flexibility
type: PropertyValue
value reference: Customization

Community Size & Resources
type: PropertyValue
value reference: Support & Ecosystem

Infrastructure Setup Complexity
type: PropertyValue
value reference: Operations

Starting Monthly Cost
type: PropertyValue
value reference: Pricing

Log Ingestion Cost per GB
type: PropertyValue
value reference: Pricing

Average Time to Value
type: PropertyValue
value reference: Implementation

Total Cost of Ownership (3-year, 500GB/month ingestion)
type: PropertyValue
value reference: Cost

Number of Pre-built Integrations
type: PropertyValue
value reference: Features

Supported Data Types
type: PropertyValue
value reference: Functionality

Data Retention Default
type: PropertyValue
value reference: Storage

Query Performance on 1TB Index
type: PropertyValue
value reference: Performance

Required Infrastructure Team Size (100 users)
type: PropertyValue
value reference: Operations

Community Size
type: PropertyValue
value reference: Community

Metrics Data Retention
type: PropertyValue
value reference: Data Management

Global Data Centers
type: PropertyValue
value reference: Infrastructure

APM Specialization
type: PropertyValue
value reference: Features

Kubernetes Support
type: PropertyValue
value reference: Infrastructure

Time to First Dashboard
type: PropertyValue
value reference: Implementation

APM Capabilities
type: PropertyValue
value reference: Features

Log Management
type: PropertyValue
value reference: Features

Starting Monthly Price
type: PropertyValue
value reference: Pricing

Native Integrations
type: PropertyValue
value reference: Integrations

Log Ingestion & Parsing
type: PropertyValue
value reference: Features

User Interface Intuitiveness
type: PropertyValue
value reference: Usability

Supported Data Sources
type: PropertyValue
value reference: Integration

Free Tier Value
type: PropertyValue
value reference: Pricing

Starting Cost (Pro Plan)
type: PropertyValue
value reference: Pricing

Error Tracking Speed
type: PropertyValue
value reference: Performance

Supported Languages
type: PropertyValue
value reference: Accessibility

Log Storage (included)
type: PropertyValue
value reference: Storage

User Session Replay
type: PropertyValue
value reference: Monitoring

Uptime SLA
type: PropertyValue
value reference: Reliability

Data Retention (free tier)
type: PropertyValue
value reference: Storage

Starting Monthly Cost
type: PropertyValue
value reference: Pricing

Pre-built Integrations
type: PropertyValue
value reference: Integration

Self-Hosting Support
type: PropertyValue
value reference: Deployment

Community Size
type: PropertyValue
value reference: Community

Base Monthly Cost Per User
type: PropertyValue
value reference: Pricing

Native Monitoring Capabilities
type: PropertyValue
value reference: Features

Log Retention Standard Plan
type: PropertyValue
value reference: Features

Alert Grouping Reduction
type: PropertyValue
value reference: Performance

MTTR Improvement vs Manual
type: PropertyValue
value reference: Performance

Native APM Included
type: PropertyValue
value reference: Features

Typical Setup Time
type: PropertyValue
value reference: Ease of Use

On-Call Scheduling Features
type: PropertyValue
value reference: Features

Base Monthly Cost
type: PropertyValue
value reference: Pricing

Integration Partners
type: PropertyValue
value reference: Ecosystem

Average Setup Time
type: PropertyValue
value reference: Implementation

Log Aggregation Included
type: PropertyValue
value reference: Features

Starting Monthly Cost per Host
type: PropertyValue
value reference: Pricing

Setup Time to Production
type: PropertyValue
value reference: Deployment

Data Retention Period
type: PropertyValue
value reference: Features

Pre-built Integrations
type: PropertyValue
value reference: Integrations

Metric Cardinality Ceiling
type: PropertyValue
value reference: Performance

Memory Footprint (Typical Setup)
type: PropertyValue
value reference: Performance

Customer Support Availability
type: PropertyValue
value reference: Support

APM Distributed Tracing
type: PropertyValue
value reference: Features

Setup Time
type: PropertyValue
value reference: Deployment

Available Integrations
type: PropertyValue
value reference: Ecosystem

APM (Application Performance Monitoring)
type: PropertyValue
value reference: Features

Session Replay Quality
type: PropertyValue
value reference: Features

Enterprise Security Features
type: PropertyValue
value reference: Security

Average Cost per GB Ingested
type: PropertyValue
value reference: Pricing

Typical Deployment Timeline
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value reference: Implementation

Default Data Retention Period
type: PropertyValue
value reference: Data Management

APM Real-Time Metric Resolution
type: PropertyValue
value reference: Performance

Gartner Magic Quadrant Position (2024)
type: PropertyValue
value reference: Industry Recognition

Uptime SLA Guarantee
type: PropertyValue
value reference: Reliability

Learning Curve (Time to Productivity)
type: PropertyValue
value reference: Developer Experience

Monthly Cost (100GB/day ingestion)
type: PropertyValue
value reference: Pricing

Time-to-First-Alert
type: PropertyValue
value reference: Performance

Number of Integrations
type: PropertyValue
value reference: Integrations

Default Data Retention (included in pricing)
type: PropertyValue
value reference: Features

APM Trace Sampling Depth
type: PropertyValue
value reference: APM

SIEM Compliance Modules (pre-built)
type: PropertyValue
value reference: Security

Enterprise Customers
type: PropertyValue
value reference: Market

Time to Production
type: PropertyValue
value reference: Deployment

Monthly Cost (1TB/day ingestion)
type: PropertyValue
value reference: Pricing

Price per GB Ingested
type: PropertyValue
value reference: Pricing

Infrastructure Management Overhead
type: PropertyValue
value reference: Operations

Query Language Complexity
type: PropertyValue
value reference: Usability

Setup Complexity (1-10 scale)
type: PropertyValue
value reference: Deployment & Usability

Free Tier Data Retention
type: PropertyValue
value reference: Data Management

Primary Use Case Coverage
type: PropertyValue
value reference: Features

Deployment Options
type: PropertyValue
value reference: Infrastructure

Typical Enterprise Annual Cost
type: PropertyValue
value reference: Pricing

Session Replay Feature
type: PropertyValue
value reference: Features

Time to Setup (minutes)
type: PropertyValue
value reference: Ease of Use

Starting Monthly Price
type: PropertyValue
value reference: Pricing

APM Transaction Sampling Interval
type: PropertyValue
value reference: Performance Monitoring

Log Management Cost
type: PropertyValue
value reference: Pricing

Average Implementation Time
type: PropertyValue
value reference: Onboarding

Kubernetes Monitoring Capabilities
type: PropertyValue
value reference: Infrastructure Monitoring

Monthly Cost Per Host
type: PropertyValue
value reference: Pricing

Built-in APM
type: PropertyValue
value reference: Core Features

Time to Production Deployment
type: PropertyValue
value reference: Operations

Self-Hosted Deployment
type: PropertyValue
value reference: Privacy & Control

AI/ML Analytics
type: PropertyValue
value reference: Core Features

Enterprise Compliance
type: PropertyValue
value reference: Security

Annual Cost (100 hosts, moderate usage)
type: PropertyValue
value reference: Pricing

Base Monthly Pricing (1GB/day ingestion)
type: PropertyValue
value reference: Pricing

Query Response Time (1GB dataset)
type: PropertyValue
value reference: Performance

Standard Data Retention
type: PropertyValue
value reference: Features

Typical Deployment Time
type: PropertyValue
value reference: Implementation

SIEM Use Cases Supported
type: PropertyValue
value reference: Security

Maximum Data Ingestion Per Day (Enterprise)
type: PropertyValue
value reference: Scalability

Monthly Cost (10 hosts, standard tier)
type: PropertyValue
value reference: Pricing

Default Data Retention
type: PropertyValue
value reference: Features

Agent Installation Time
type: PropertyValue
value reference: Deployment

Data Query Language
type: PropertyValue
value reference: Usability

Uptime SLA
type: PropertyValue
value reference: Reliability

Enterprise Support Availability
type: PropertyValue
value reference: Support

Starting Price (Monthly)
type: PropertyValue
value reference: Pricing

Integration Count
type: PropertyValue
value reference: Ecosystem

Error Alert Latency
type: PropertyValue
value reference: Performance

Mobile SDKs Supported
type: PropertyValue
value reference: Mobile Support

Infrastructure Monitoring
type: PropertyValue
value reference: Features

Typical Enterprise Cost (Annual)
type: PropertyValue
value reference: Pricing

Minimum Monthly Commitment
type: PropertyValue
value reference: Pricing

Log Ingestion at $10k/Month Spend
type: PropertyValue
value reference: Performance

Default Metrics Retention
type: PropertyValue
value reference: Data Retention

Default Log Retention (free tier)
type: PropertyValue
value reference: Data Retention

Enterprise Customer Count (2025)
type: PropertyValue
value reference: Market Position

Native APM Capability
type: PropertyValue
value reference: Features