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Paid tool

Datadog

Unified monitoring, observability, security, and cloud operations platform

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Intro

What is Datadog?

Datadog is a cloud monitoring, observability, security, and IT operations platform that helps teams see inside their infrastructure, applications, logs, networks, user experiences, software delivery pipelines, and AI systems. It supports unified monitoring across cloud and on-premises environments, with features for application performance monitoring, infrastructure monitoring, security analytics, incident response, cost management, and AI agent observability. The platform also includes Datadog MCP capabilities for connecting AI workflows to telemetry and operational data. Datadog is designed for engineering, DevOps, security, SRE, and business teams; users interested in Datadog careers can also explore the company’s engineering and employment resources. Although sometimes written informally as “data dog,” Datadog is a unified alternative for organizations comparing observability platforms such as PostHog.

Datadog at a glance
Free tiers and trials available, paid products from $0.10 per GB or $15 per host/mo5.7M monthly visitsPaid access

Category

AI MonitorLog Management
Best For

Best Datadog use cases by task, role, industry, and platform

These use cases show where Datadog fits best, ranked by fit score before popularity or pricing.

Infrastructure MonitoringTrack system performance, detect anomalies, analyze logs, and receive real-time alerts to maintain optimal server and network health.99Cloud ObservabilityMonitor system performance, track application metrics, analyze distributed traces, and centralize logs to maintain cloud infrastructure health.99Log MonitoringTrack, analyze, and parse system logs in real time to detect anomalies and troubleshoot infrastructure errors efficiently.94Cloud Cost ManagementAnalyze multi-cloud spending, detect infrastructure waste, and generate optimization reports to reduce monthly operational expenses.92Performance OptimizationAnalyze existing code, databases, and system configurations to identify bottlenecks and accelerate application response times.86Data ObservabilityTrack data health, trace pipeline lineages, and detect anomalies to maintain accurate and reliable data systems for business operations.86Anomaly DetectionAnomaly detection organizes tables, assumptions, trends, and exceptions so data can guide decisions.82API SecurityMonitor endpoints, detect vulnerabilities, prevent unauthorized access, and protect sensitive data across connected applications.72
Pricing

Datadog Pricing Plans

Compare Datadog free options, Datadog paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.

Free tiers and trials available, paid products from $0.10 per GB or $15 per host/mo

$0

Core collection and visualization features, one-day metric retention, and up to five hosts.

Starting at $15 per host per month

Annual pricing; $18 per host per month on demand. Includes centralized infrastructure monitoring, 1,000+ integrations, dashboards, and 15-month metric retention.

Starting at $23 per host per month

Annual pricing; $27 per host per month on demand. Adds machine-learning alerts, Live Processes, and advanced administrative controls.

Starting at $31 per host per month

Annual pricing with Infrastructure Monitoring attached; $36 on demand. Includes distributed tracing, service maps, service health metrics, and trace analytics.

Starting at $0.10 per ingested or scanned GB per month

Standard indexing starts at $1.70 per million log events per month. Flex Storage starts at $0.05 per million events stored per month.

Starting at $5 per analyzed GB per month

Annual pricing; $7.50 per analyzed GB on demand. Includes real-time detection, threat hunting, security analytics, and 12-month security data retention.

Starting at $0.15 per 1,000 sessions per month

Annual pricing; $0.22 on demand. RUM Investigate starts at $3 per 1,000 filtered sessions per month.

Starting at $5 per 10,000 API test runs per month

Browser Testing starts at $12 per 1,000 test runs, and Mobile App Testing starts at $50 per 100 test runs.

Starting at $20 per seat per month

On-Call starts at $20, Incident Management at $30, and the Incident Response bundle at $40 per seat per month with annual billing.

Starting at $10 per 100 workflow executions per month

Annual pricing; $14 on demand. Includes workflow blueprints, integrations, branching logic, and automated actions.

Free for Datadog Cost Visibility; Pro from $5 per $1,000 of cloud or SaaS spend per month

Enterprise starts at $10 per $1,000 of cloud or SaaS spend per month. Annual pricing is shown.

Free tier available; Pro from $160 per month

Annual Pro pricing includes 100,000 LLM spans per month. Additional LLM spans are billed separately.

Starting at $40 per committer per month

Annual pricing; $57.60 on demand. Includes static and runtime code analysis plus static and runtime software composition analysis.

Starting at $70 per database host per month

Annual pricing; $84 on demand. Requires Infrastructure Monitoring and includes normalized query monitoring and database performance insights.

Custom quote

Pricing is based on the scope of observability coverage and disaster recovery requirements.

Pricing updated:Aug 25, 2026

Features

Datadog AI Features

Infrastructure monitoring for hosts, containers, Kubernetes, serverless workloads, storage, GPUs, and cloud costsApplication Performance Monitoring with distributed tracing, service maps, profiling, dynamic instrumentation, and database monitoringLog ingestion, indexing, analytics, archival, rehydration, flexible retention, and log forwardingNetwork monitoring for cloud traffic, network devices, wireless access points, NetFlow, and network pathsCloud security posture management, vulnerability management, workload protection, Cloud SIEM, code security, and application protectionDigital experience monitoring with browser and mobile RUM, session replay, product analytics, experiments, and synthetic testingSoftware delivery monitoring for CI pipelines, test optimization, code coverage, feature flags, and continuous testingIncident response, on-call management, incident management, case management, event correlation, and workflow automationAI capabilities including Bits Chat, Bits Investigation, Bits Code, Bits Agent Builder, Security Analyst, and Agent ObservabilityAI agent tracing, evaluations, datasets, experiments, quality monitoring, security scanning, and LLM span analyticsOpenTelemetry, API, MCP Server, integrations, IDE plugins, dashboards, notebooks, alerts, and collaboration toolsCloud Cost Management with cost visibility, allocation, forecasting, budgets, anomaly detection, and FinOps automation
Pros & Cons

Datadog Pros and Cons

Pros

  • Broad unified coverage across infrastructure, applications, logs, security, networks, user experience, and software delivery
  • More than 1,000 integrations and support for major cloud providers and OpenTelemetry
  • Strong correlation between metrics, logs, traces, profiles, security signals, incidents, and user sessions
  • Flexible usage-based pricing across hosts, users, sessions, events, data volume, tests, committers, and other units
  • Free tiers and free trials are available for selected products
  • Powerful AI features for investigation, remediation, code assistance, and AI agent observability
  • Extensive automation, dashboards, alerting, RBAC, governance, and collaboration capabilities
  • Supports both standalone products and bundled observability and security offerings

Limitations

  • The large product catalog and usage-based pricing structure can be difficult to understand and forecast
  • Many capabilities require separate product SKUs or add-ons
  • Costs can increase with telemetry volume, indexed data, custom metrics, hosts, sessions, or workflow usage
  • Some enterprise products, volume discounts, retention extensions, and disaster recovery options require contacting sales
  • Certain products have regional restrictions, including limited availability in GovCloud
  • Advanced configuration may require technical expertise and careful cost controls

Datadog FAQ

Datadog is used to monitor and secure cloud infrastructure, applications, logs, networks, databases, user experiences, software delivery pipelines, and AI systems from one platform.