Datadog vs Dynatrace
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description: Datadog excels in log management and multi-cloud visibility with a flexible pricing model, while Dynatrace specializes in application performance monitoring with superior AI-driven root cause analysis and lower pricing at enterprise scale.
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date published: 2026-07-07T06:11:09.593Z
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caption: Datadog vs Dynatrace — Side-by-side comparison on A Versus B

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Datadog vs Dynatrace
type: Article
type: TechArticle
abstract: Datadog excels in log management and multi-cloud visibility with a flexible pricing model, while Dynatrace specializes in application performance monitoring with superior AI-driven root cause analysis and lower pricing at enterprise scale.
description: Datadog excels in log management and multi-cloud visibility with a flexible pricing model, while Dynatrace specializes in application performance monitoring with superior AI-driven root cause analysis and lower pricing at enterprise scale.
language: en-US
main entity of page: Datadog vs Dynatrace
content reference time: 2026-07-07T06:11:09.676Z
author: A Versus B
publisher: A Versus B
date published: 2026-07-07T06:11:09.593Z
date created: 2026-07-07T06:11:09.593Z
date modified: 2026-07-07T06:11:09.676Z
text: Choose Datadog if you need unmatched log management, multi-cloud flexibility, and prefer pay-per-use pricing for variable workloads. Choose Dynatrace if you prioritize AI-driven root cause analysis, require a unified observability platform with simpler deployment, and value predictable fixed pricing for enterprise environments.
genre: Software
potential action: ReadAction
  target: Datadog vs Dynatrace
potential action: Compare Datadog vs Dynatrace
  type: Action
  additional type: CompareAction
  target: Datadog vs Dynatrace
  object: Datadog
  object: Dynatrace
about: Datadog
about: Dynatrace
mentions: Primary Strength
mentions: Pricing Model
mentions: Log Management Capability
mentions: AI Root Cause Analysis
mentions: Implementation Complexity
mentions: Enterprise Customer Satisfaction
mentions: Multi-Cloud Support
related link: https://www.aversusb.net/compare/dynatrace-vs-datadog
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related link: https://www.aversusb.net/compare/new-relic-vs-dynatrace
citation: Datadog — Wikipedia
citation: Dynatrace — Wikipedia
significant link: https://www.aversusb.net/entity/datadog
significant link: https://www.aversusb.net/alternatives/datadog
significant link: https://www.aversusb.net/entity/dynatrace
significant link: https://www.aversusb.net/alternatives/dynatrace
significant link: https://www.aversusb.net/api/answer/datadog-vs-dynatrace)
significant link: https://www.aversusb.net/api/knowledge-graph/datadog-vs-dynatrace)

A Versus B
type: Organization

Datadog
type: Thing
description: Cloud-native observability platform with comprehensive log management, metrics, traces, and synthetics.
language: en-US
image: ImageObject
  caption: Datadog
subject of: Datadog vs Dynatrace

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

Datadog vs Dynatrace — Comparison Data
type: Dataset
description: Structured comparison data for Datadog vs Dynatrace with 152 attributes.
language: en-US
license: https://creativecommons.org/licenses/by/4.0/
creator: A Versus B
distribution: Schema.org JSON-LD (pure)
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distribution: JSON-LD knowledge graph
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distribution: Raw comparison JSON
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distribution: AI Answer API (citation-ready)
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distribution: Structured FAQ pairs JSON
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distribution: Related comparisons JSON
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variable measured: Metrics Data Retention
  type: PropertyValue
  value reference: Data Management
variable measured: Global Data Centers
  type: PropertyValue
  value reference: Infrastructure
variable measured: APM Specialization
  type: PropertyValue
  value reference: Features
variable measured: Kubernetes Support
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variable measured: Time to First Dashboard
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variable measured: Log Management
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variable measured: Starting Monthly Price
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variable measured: Native Integrations
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variable measured: Log Ingestion & Parsing
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variable measured: User Interface Intuitiveness
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  value reference: Usability
variable measured: Supported Data Sources
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variable measured: Free Tier Value
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variable measured: Starting Cost (Pro Plan)
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variable measured: Error Tracking Speed
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variable measured: Supported Languages
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variable measured: Log Storage (included)
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variable measured: User Session Replay
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variable measured: Minimum Contract Term
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variable measured: G2 Customer Satisfaction Rating (2024)
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variable measured: Log Management Included
variable measured: AI Root Cause Analysis
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variable measured: APM (Application Performance Monitoring)
variable measured: Session Replay Quality
variable measured: Enterprise Security Features
variable measured: Average Cost per GB Ingested
variable measured: Typical Deployment Timeline
variable measured: Default Data Retention Period

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Architecture
type: DefinedTerm
term code: architecture
in defined term set: Datadog vs Dynatrace — Attribute Category Vocabulary

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

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

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

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

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

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

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

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

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

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

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

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

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

Promotions
type: DefinedTerm
term code: promotions
in defined term set: Datadog vs Dynatrace — Attribute Category Vocabulary

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

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-07-07T06:11:09.676Z
author: A Versus B
publisher: A Versus B
is part of: Datadog vs Dynatrace
main entity: Which platform is more cost-effective for high log volumes?
  type: Question
  accepted answer: Answer
    text: Datadog's pay-per-use model ($0.70-$1.40/GB) is more cost-effective for organizations with unpredictable or high log volumes (>500GB/day). Dynatrace's fixed pricing becomes more attractive for stable workloads under 200 hosts where log analysis is secondary. At 2TB daily log ingestion, Datadog typically costs $42K-$84K/month while Dynatrace would be $18K-$26K/month for equivalent hosts, making Dynatrace cheaper overall for traditional APM-focused use cases.
    language: en-US
main entity: How does deployment time differ between the two platforms?
  type: Question
  accepted answer: Answer
    text: Dynatrace's OneAgent achieves full observability (APM, infrastructure, logs, real user monitoring) in 15-20 minutes across all hosts via a single deployment. Datadog requires deploying the main agent (5 min), APM agent (10 min), and log agent (10 min) separately, totaling 25-35 minutes per infrastructure type. For environments with 100+ hosts, this results in Dynatrace saving approximately 8-12 hours of deployment and configuration work.
    language: en-US
main entity: Which platform is better for Kubernetes-native environments?
  type: Question
  accepted answer: Answer
    text: Dynatrace has superior Kubernetes support with automatic service discovery (no manual instrumentation), native Prometheus ingestion, and automatic containerization tagging. Datadog requires additional configuration through DaemonSets and requires more manual annotation for full visibility. For pure Kubernetes environments, Dynatrace reduces setup time by 60% and provides out-of-the-box multi-environment visibility across staging and production.
    language: en-US
main entity: Can I use both platforms together?
  type: Question
  accepted answer: Answer
    text: Yes, but rarely recommended. Both platforms can read from the same sources (Prometheus, StatsD, OpenTelemetry), but running both agents on the same infrastructure creates 15-20% CPU overhead and doubles observability costs without proportional benefit. Most enterprises choose one platform per business unit, using Datadog for log-heavy workloads and Dynatrace for performance-critical applications.
    language: en-US
main entity: Which platform has better customer support for troubleshooting?
  type: Question
  accepted answer: Answer
    text: Dynatrace's 2024 Gartner report shows 89% customer satisfaction with support (vs. 82% for Datadog). Dynatrace includes 24/7 premium support at enterprise tier with dedicated technical account managers; Datadog requires additional paid support tiers. However, Datadog's community (150,000+ organizations) offers faster crowdsourced solutions. Enterprise customers report Dynatrace support responds to critical issues in <1 hour; Datadog averages 2-3 hours.
    language: en-US

Log Management Included
type: PropertyValue
value reference: Features

AI Root Cause Analysis
type: PropertyValue
value reference: Intelligence

Setup Time
type: PropertyValue
value reference: Ease of Use

Available Integrations
type: PropertyValue
value reference: Integration

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
type: PropertyValue
value reference: Implementation

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

Out-of-Box Integrations
type: PropertyValue
value reference: Features

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

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

Implementation Timeline
type: PropertyValue
value reference: Deployment

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: Ease of Use

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

Price per GB Ingested
type: PropertyValue
value reference: Pricing

Default Data Retention
type: PropertyValue
value reference: Data Management

Infrastructure Management Overhead
type: PropertyValue
value reference: Operations

Query Language Complexity
type: PropertyValue
value reference: Features

Setup Complexity (1-10 scale)
type: PropertyValue
value reference: Ease of Use

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: Architecture

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

Native Integrations
type: PropertyValue
value reference: Integrations

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: Speed to Market

Supported Programming Languages
type: PropertyValue
value reference: Features

Kubernetes Monitoring Capabilities
type: PropertyValue
value reference: Infrastructure Monitoring

Monthly Cost Per Host
type: PropertyValue
value reference: Pricing

Data Source Integrations
type: PropertyValue
value reference: Integration

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

Time to Production Deployment
type: PropertyValue
value reference: Implementation

Self-Hosted Deployment
type: PropertyValue
value reference: Deployment

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

Log Retention (Standard)
type: PropertyValue
value reference: Data Management

Starting Price Per Host
type: PropertyValue
value reference: Pricing

AI Root Cause Analysis Capability
type: PropertyValue
value reference: AI/Analytics

Agent Installation Complexity
type: PropertyValue
value reference: Deployment

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

Supported Technology Integrations
type: PropertyValue
value reference: Coverage

Metric Data Retention
type: PropertyValue
value reference: Data Management

Trace Data Retention
type: PropertyValue
value reference: Data Management

Typical Implementation Timeline
type: PropertyValue
value reference: Deployment

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

Initial Deployment Time
type: PropertyValue
value reference: Implementation

Supported Technologies (Languages/Frameworks)
type: PropertyValue
value reference: Compatibility

AI-Powered Anomaly Detection Accuracy
type: PropertyValue
value reference: Features

Alert Management Channels
type: PropertyValue
value reference: Features

Grafana/Dynatrace Community Size
type: PropertyValue
value reference: Community

Required IT Staff for 10,000 hosts
type: PropertyValue
value reference: Operations

Starting Monthly Cost
type: PropertyValue
value reference: Pricing

Cost Per GB Ingested
type: PropertyValue
value reference: Pricing

Implementation Time
type: PropertyValue
value reference: Deployment

Infrastructure Monitoring Depth
type: PropertyValue
value reference: Monitoring

Typical Enterprise Customer Annual Cost
type: PropertyValue
value reference: Pricing

Free Trial Duration
type: PropertyValue
value reference: Features

Base Monthly Cost (100 GB/month)
type: PropertyValue
value reference: Pricing

Code-Level Instrumentation Depth
type: PropertyValue
value reference: Observability

Automatic Anomaly Detection
type: PropertyValue
value reference: AI Capabilities

Max Data Retention (free tier)
type: PropertyValue
value reference: Data Management

Monthly Platform Cost (100GB/month ingestion)
type: PropertyValue
value reference: Pricing & Cost

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

Setup Time for Multi-Service Environment
type: PropertyValue
value reference: Onboarding

Data Retention (Standard Plan)
type: PropertyValue
value reference: Features

Free Trial Period
type: PropertyValue
value reference: Promotions

Kubernetes/Container Auto-Discovery
type: PropertyValue
value reference: Features

User Satisfaction Score (G2 Reviews)
type: PropertyValue
value reference: Market

Total Cost of Ownership (Year 1)
type: PropertyValue
value reference: Pricing

Average Time to Root Cause (MTTR)
type: PropertyValue
value reference: Performance

Supported Technologies
type: PropertyValue
value reference: Compatibility

Data Retention (Default)
type: PropertyValue
value reference: Features

Ingest Rate (Typical)
type: PropertyValue
value reference: Scalability

Learning Curve
type: PropertyValue
value reference: Usability

API Complexity
type: PropertyValue
value reference: Developer Experience