About Datadog
Datadog is an observability and security platform from Datadog that lets users see inside any stack, any app, at any scale, anywhere. It combines observability, digital use, and software delivery to help organizations define and track KPIs for successfully moving their data and applications to AWS, Azure, and GCP. Recognized as a Leader in The Forrester Wave™: AIOps Platforms, Q2 2025, Datadog supports organizations in monitoring performance and managing incidents effectively. Key capabilities: observability digital use software delivery service management platform capabilities Best for: IT teams and developers that need to monitor and manage complex cloud environments.
Datadog is a comprehensive, cloud-based observability and monitoring platform that provides unified visibility into infrastructure, applications, logs, traces, and security signals across modern distributed systems. Its SaaS model scales easily from small teams to large enterprises and is supported globally, making it suitable for organizations of all sizes. A major strength of Datadog is its extensive integration ecosystem, with over 1,000 built-in connectors for seamless data ingestion from cloud providers, orchestration tools, and third-party services. The platform’s modular architecture allows users to adopt only the capabilities they need, including application performance monitoring (APM), real-user monitoring, and AI-powered observability features such as LLM tracing. Datadog also includes built-in collaboration tools like incident management and interactive notebooks, streamlining troubleshooting and operational workflows. While the platform can become costly at scale, particularly for high-volume telemetry ingestion, and some features require careful configuration, Datadog remains a robust choice for organizations seeking deep, end-to-end observability and actionable operational insights across cloud environments.
Pros & Cons
- +Provides a consolidated view of logs, traces, and metrics across applications and infrastructure for faster issue detection and resolution
- +Enables live tracking of application performance, infrastructure health, and user activity to prevent downtime
- +Supports over 400 integrations with cloud providers, databases, and third-party tools for seamless observability
- +Allows creation of user-friendly, interactive dashboards tailored to monitor specific services or applications
- +Handles large-scale cloud and on-prem deployments, including AWS ECS/EKS, with minimal performance impact
- −Beginners may require significant time to understand dashboards, monitors, and alerting configurations
- −Users can experience alert fatigue due to repetitive or low-priority notifications
- −Creating advanced queries and monitors can be difficult without deep knowledge
- −Some database modules lack full visibility, such as explain plans for MySQL prepared statements
- −Configuring APM monitoring and traces for complex cloud environments can be tricky
Features
Key features
- Unified observability
- Provides real-time monitoring across infrastructure, applications, logs, metrics, and user experience for complete visibility
- Application Performance Monitoring (APM)
- Tracks application performance with distributed tracing to identify bottlenecks and optimize performance
- Cloud security & SIEM
- Monitors security posture, detects threats, and manages vulnerabilities across cloud environments
- Synthetic monitoring
- Simulates user interactions to test application availability and performance
- Real User Monitoring (RUM)
- Collects data on actual user interactions to analyze experience and detect issues
- AI-powered observability
- Uses machine learning and LLMs to detect anomalies, predict incidents, and provide automated insights
- Scalable infrastructure monitoring
- Handles monitoring for large-scale environments with multiple hosts, containers, and serverless architectures
Additional features
- Infrastructure & serverless monitoring
- Monitors servers, containers, and serverless functions in real-time
- Network monitoring
- Tracks network performance, latency, and traffic issues across environments
- Container monitoring
- Provides visibility into containerized applications and orchestration platforms
- Log management
- Collects, analyzes, and visualizes logs for troubleshooting and auditing
- Error tracking
- Identifies and prioritizes application errors for faster resolution
- Database monitoring
- Tracks database performance and query efficiency
- Data-stream monitoring
- Monitors streaming data pipelines and jobs
- Cloud cost management
- Provides insights into cloud spending and cost optimization
- Security posture & vulnerability management
- Detects misconfigurations, vulnerabilities, and compliance issues
- Incident response & case management
- Manages incidents, tracks resolution, and automates workflows
- Workflow automation
- Automates repetitive operational tasks to increase efficiency
- Dashboards & notebooks
- Visualizes metrics, logs, and traces in customizable dashboards
- Metrics & alerts
- Tracks KPIs and triggers alerts on thresholds or anomalies
- Service Level Objectives
- Monitors SLA adherence across services
- CI visibility
- Tracks continuous integration pipelines and build performance
- Feature flags
- Manages feature rollouts and A/B testing safely
- Session replay
- Replays user sessions to diagnose UX issues
- Mobile app testing
- Tests mobile applications across devices and networks
- Continuous testing
- Integrates automated tests into development pipelines
- Code security (SAST & IAST)
- Analyzes code at rest and runtime for vulnerabilities
- Cloud SIEM
- Provides security monitoring and threat detection in the cloud
- App & API protection
- Monitors applications and APIs for malicious activity
- Secret scanning
- Detects exposed credentials and secrets in code
- Observability pipelines
- Aggregates, enriches, and routes telemetry data
- Dynamic instrumentation
- Automatically instruments code for observability
- Universal service monitoring
- Monitors all services and endpoints regardless of platform
- Data jobs monitoring
- Monitors ETL and batch jobs for performance and reliability
- Software catalog
- Maintains inventory of installed software and dependencies
- Continuous profiler
- Profiles applications in production to identify performance bottlenecks
- Audit trail
- Tracks configuration changes and user actions for compliance
- Sensitive data scanner
- Detects and protects sensitive data
- Cloud infrastructure entitlement management
- Manages permissions and access rights
- Compliance
- Provides regulatory and industry compliance monitoring
- Cloudcraft & Kubernetes autoscaling
- Optimizes cloud resource usage automatically
- Bits AI Agents & Bits AI SRE
- AI agents for monitoring and remediation
- App Builder & CoScreen
- Tools for internal development and collaboration
- Mobile App
- Provides observability and management on mobile devices
- Access control & OpenTelemetry
- Manages secure access and standardizes telemetry collection
- Alerts & Integrations
- Sends alerts to third-party tools and supports integrations
- IDE plugins & API
- Extends monitoring to development tools and programmatic access
- Security Labs Research
- Provides threat research and updates
- CloudPrem
- Monitors hybrid cloud and on-prem environments
- Storage management & DORA metrics
- Monitors storage resources and DevOps performance metrics
Pricing
Countries & Languages
Interface languages
Billing currencies
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About Datadog
Datadog is an observability and security platform from Datadog that lets users see inside any stack, any app, at any scale, anywhere. It combines observability, digital use, and software delivery to help organizations define and track KPIs for successfully moving their data and applications to AWS, Azure, and GCP. Recognized as a Leader in The Forrester Wave™: AIOps Platforms, Q2 2025, Datadog supports organizations in monitoring performance and managing incidents effectively. Key capabilities: observability digital use software delivery service management platform capabilities Best for: IT teams and developers that need to monitor and manage complex cloud environments.
Datadog Details
Datadog's In-App Market Place
Does Datadog have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€)
Pros & Cons
- Provides a consolidated view of logs, traces, and metrics across applications and infrastructure for faster issue detection and resolution
- Enables live tracking of application performance, infrastructure health, and user activity to prevent downtime
- Supports over 400 integrations with cloud providers, databases, and third-party tools for seamless observability
- Allows creation of user-friendly, interactive dashboards tailored to monitor specific services or applications
- Handles large-scale cloud and on-prem deployments, including AWS ECS/EKS, with minimal performance impact
- Beginners may require significant time to understand dashboards, monitors, and alerting configurations
- Users can experience alert fatigue due to repetitive or low-priority notifications
- Creating advanced queries and monitors can be difficult without deep knowledge
- Some database modules lack full visibility, such as explain plans for MySQL prepared statements
- Configuring APM monitoring and traces for complex cloud environments can be tricky
Datadog's Support Options
Email Address
info@datadoghq.comContact
866 329-4466Documentation
https://docs.datadoghq.comCommunity Forums
https://chat.datadoghq.com/Datadog's Alternatives
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