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Datadog

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DevOps · www.datadoghq.com

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Overview

Datadog is a SaaS observability platform that unifies infrastructure monitoring, application performance monitoring (APM), and log management in a single pane of glass. It ingests metrics, traces, and logs from more than 1,000 integrations across cloud, containers, and services. The platform is aimed at DevOps, SRE, and engineering teams running cloud-scale applications.

The problem Datadog solves

Engineering, DevOps, and SRE teams running cloud-scale, containerized applications struggle to correlate metrics, traces, and logs spread across disconnected tools, slowing troubleshooting. Datadog consolidates that visibility into one platform with 1,000+ integrations and no-code dashboards. The tradeoff teams hit is usage-based cost that scales fast with hosts, custom metrics, and log volume.

Decision context

Use these points to test whether the product fits your operation, not just whether it has a long feature list.

  • Published starting price: $15 per host / month. Confirm user, usage, and feature limits for the plan you would actually buy.
  • Deployment: cloud. Check security, data-residency, and access requirements for every team that will use it.
  • Verified integrations include AWS, Microsoft Azure, Google Cloud, Kubernetes, Docker, Slack. Validate sync direction and plan limits for the connections that matter.
  • This record was last checked on 7/20/2026; pricing and features can change.

How to evaluate Datadog

A listing helps create a shortlist; a trial with the team’s real workflow decides whether the tool fits. Use this reading with the structured facts and confirm changes with the vendor.

Workflow fit

The record describes it as a fit for DevOps and SRE teams needing metrics, traces, and logs in one platform, Cloud-native and containerized (Kubernetes/Docker) environments, Mid-market and enterprise orgs standardizing on a single observability tool. Check that this context matches the volume, roles, and processes your team needs it to support.

Pilot questions

  • Can Datadog complete the critical workflow without manual work outside the product?
  • Do the recorded connections (AWS, Microsoft Azure, Google Cloud, Kubernetes) support the sync direction, permissions, and volume we need?
  • What user, usage, storage, support, or security limits appear after the headline starting price?

Evidence and freshness

This record was checked on 7/20/2026. That date tells you when the record was reviewed, not that the vendor has left its terms unchanged since then.

Best for

  • DevOps and SRE teams needing metrics, traces, and logs in one platform
  • Cloud-native and containerized (Kubernetes/Docker) environments
  • Mid-market and enterprise orgs standardizing on a single observability tool

Not a fit if

  • Small teams or startups on tight budgets sensitive to usage-based costs
  • Organizations requiring a self-hosted or on-premise monitoring deployment

Why it’s listed

  • Category-leading unified observability platform for cloud and DevOps teams
  • 1,000+ built-in integrations spanning cloud providers, containers, and services
  • Strong third-party review signal (4.4/5 on G2, 8.6/10 on TrustRadius)

Pricing

Free

Free

Entry tier covering core infrastructure monitoring for small setups.

  • Up to 5 hosts
  • 1-day metric retention
  • Core infrastructure metric collection
  • Access to integrations

Infrastructure Pro

$15 per host / month

Standard infrastructure monitoring billed per host annually.

  • Unlimited hosts
  • 15-month metric retention
  • 1,000+ integrations
  • Out-of-the-box dashboards
  • Alerting

Infrastructure Enterprise

$23 per host / month

Advanced infrastructure monitoring with machine-learning features.

  • Everything in Pro
  • Watchdog anomaly detection
  • Advanced administration and RBAC
  • Live processes and container monitoring

APM

$31 per host / month

Application performance monitoring with distributed tracing (with Infrastructure).

  • Distributed tracing
  • Service maps
  • Code-level performance data
  • Ingest and retain spans

Features

AI featuresWatchdog anomaly detection and Bits AI assistant
Alerting & on-callMonitors, alerting, and dedicated On-Call product
Application performance monitoring (APM)Core APM product
CI/CD pipelinesCI Visibility / Pipeline Visibility
Distributed tracingEnd-to-end tracing within APM
Incident managementBuilt-in Incident Management module
Infrastructure monitoringFlagship product line
Log managementIngest, index, and Flex storage tiers
Public APIREST API and official client libraries
Self-hosting / on-premSaaS-only; no self-hosted deployment

Integrations

AWSMicrosoft AzureGoogle CloudKubernetesDockerSlackPagerDutyJiraGitHubTerraformJenkinsMySQLPostgreSQLRedisApache KafkaNGINX

Security & compliance

SOC 2 Type IIISO 27001ISO 27017ISO 27018ISO 27701HIPAAPCI DSSGDPRFedRAMP HighCSA STAR

Pros & cons

Pros

  • Intuitive, no-code drag-and-drop dashboards that can be built in minutes
  • Very broad integration catalog (1,000+) covering most of the cloud stack
  • Unified view of infrastructure, APM, and logs reduces tool sprawl
  • Depth of features and ease of use praised versus Grafana/Zabbix alternatives

Cons

  • Costs rise quickly and unpredictably, especially with log indexing and custom metrics
  • Host- and feature-based pricing gets expensive as infrastructure scales
  • Steep learning curve due to the sheer number of features
  • Smaller teams often struggle to justify the price premium

What we found

4.4/5
808 reviews aggregatedLast checked 2026-07-20

Reviewers consistently praise Datadog's intuitive drag-and-drop dashboards, breadth of integrations, and unified visibility across metrics, traces, and logs. The most frequent criticism is cost, which reviewers say escalates quickly and unpredictably with host scaling, custom metrics, and log indexing.

Ratings and review counts come from public review platforms. We link to the original source and keep the underlying review text out of this profile.

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