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Datadog

by Datadog · Since 2010
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ActiveAvailable globallyCloudFree tier
Quick facts
VendorDatadog
Year launched2010
StatusActive
LocationNew York 620 8th Ave 45th Floor New York, NY 10018 USA
Countries servedGlobal
Languages3
Integrations136+
Free tierYES
Free trialN/A
Contact salesN/A

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

Pros
  • 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
Cons
  • 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

Free trial
Free version
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Countries & Languages

Global
Countries served
3
Interface languages
2
Billing currencies

Interface languages

EnglishJapaneseKorean

Billing currencies

🇺🇸USD🇪🇺EUR

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