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Decision comparison

Checkly vs Datadog

Checkly is the superior choice for teams focused on synthetic monitoring, offering deeper Playwright integration, monitoring-as-code workflow, and predictable pricing starting at $24/month. Datadog is the right choice when synthetic monitoring is one piece of a broader full-stack observability strategy requiring cross-signal correlation across APM, infrastructure, logs, and synthetic tests.

Cross-category comparison
Last Updated:

Architecture choice. These take different approaches to the same problem. Read the table as a fit question rather than a feature race.

These are different kinds of product — Synthetic Monitoring and Observability Platform.

Quick Comparison

Checkly

Best For:
Developer teams needing focused synthetic monitoring with monitoring-as-code workflow
Architecture:
Specialist synthetic monitoring platform with Playwright-native browser checks
Pricing Model:
Checkly offers free Hobby tier plus paid plans. Hobby (Free): 10 uptime monitors, 1K browser checks/mo, 10K API checks/mo, 1 user. Starter ($24/mo): 50 monitors, 3K browser, 25K API, 3 users, 1-min check frequency. Team ($64/mo): 75 monitors, 12K browser, 100K API, 10 users, 30-sec frequency, private locations, visual regression. Enterprise (custom): custom limits, 1-sec frequency, SAML/SSO, 180-day raw data retention. Add-ons: +25 monitors $8, +1K browser runs $4. Startup discount: 30%. Nonprofit discount: 50%.
Ease of Use:
Fast setup; monitoring-as-code CLI integrates into existing Git and CI/CD workflows
Scalability:
Scales synthetic checks across 20+ global locations with private location support
Integration Ecosystem:
Focused: Slack, PagerDuty, Opsgenie, webhooks; pairs with external APM/logging tools

Datadog

Best For:
Platform teams needing unified full-stack observability across infrastructure, APM, logs, and synthetics
Architecture:
Full-stack observability platform with agent-based collection and 750+ integrations
Pricing Model:
Free tier available, paid plans start at $0.75 per host per month, additional costs based on usage and features
Ease of Use:
Steeper learning curve; powerful once configured; extensive documentation and community
Scalability:
Proven at massive scale with thousands of hosts, petabytes of logs, trillions of data points
Integration Ecosystem:
Massive: 750+ integrations covering every major cloud, database, container, and SaaS service

Public signals

Verified factual signals only. Bars appear only for like-for-like metrics with five weekly assessments for every tool; missing evidence stays explicit. These signals do not establish enterprise adoption, product quality, or total cost.

MetricChecklyDatadog
GitHub commits, 90d(Developer adoption)
98
2.4k
GitHub stars(Developer adoption)
97
3,500+
Search interest(Market interest)
0
14
Hacker News mentions, 90d(Community interest)
1
16
npm weekly downloads(Developer adoption)
223.3k
7.3M
Stack Overflow questions(Community interest)
2
1.1k
Hugging Face downloads(Product adoption)Not available96.6k
Hugging Face likes(Product adoption)Not available220
Product Hunt comments(Community interest)Not available1
Product Hunt rating(Community interest)Not available5.0/5
Product Hunt reviews(Community interest)Not available13
Product Hunt votes(Community interest)Not available75
PyPI weekly downloads(Developer adoption)Not available11.0M

As of September 14, 2026 — updated weekly.

Health & risk evidence

Observed public-source checks for mapped package versions and repositories.

Checkly

September 14, 2026

Package vulnerabilities

npm · checkly@9.3.0

0 vulnerabilities

across 1 package

Repository security score

Not available

Datadog

September 14, 2026

Package vulnerabilities

PyPI · datadog@0.53.0 · npm · dd-trace@6.16.0

0 vulnerabilities

across 2 packages

Repository security score

github.com/DataDog/datadog-agent

5.9/10

Interface Preview

Checkly

Checkly product interface

Feature Comparison

Synthetic Monitoring

Browser Checks

ChecklyPlaywright-based with full scripting, visual regression, and multi-step flows
DatadogChromium-based recorder plus code editor with managed browser infrastructure

API Monitoring

ChecklyHTTP/HTTPS with assertions, setup/teardown scripts, and chained requests
DatadogHTTP, SSL, DNS, TCP, UDP, ICMP, WebSocket, and gRPC checks

Check Frequency

Checkly1 min (Starter), 30 sec (Team), 1 sec (Enterprise)
Datadog1 min minimum for most synthetic test types

Global Locations

Checkly20+ global checkpoint locations with parallel execution
Datadog100+ global locations for synthetic tests

Private Locations

ChecklyAvailable on Team plan ($64/mo) for internal endpoint monitoring
DatadogAgent-based private locations on all paid synthetic plans

Developer Workflow

Monitoring-as-Code

ChecklyFirst-class CLI with TypeScript/JavaScript definitions, Git-native workflow
DatadogTerraform provider and API configuration; not a core workflow pattern

CI/CD Integration

ChecklyNative CLI for running checks in CI pipelines before deployment
DatadogCI Visibility product for test and pipeline observability

Alerting Integrations

ChecklySlack, PagerDuty, Opsgenie, email, webhooks with configurable thresholds
Datadog750+ integrations with anomaly detection, composite monitors, SLO-based alerts

Full-Stack Observability

APM / Distributed Tracing

ChecklyNot available; synthetic monitoring specialist only
DatadogFull distributed tracing with auto-instrumentation for 15+ languages

Log Management

ChecklyNot available; pairs with external log aggregators
DatadogIntegrated log ingestion, search, analytics, and trace correlation

Infrastructure Monitoring

ChecklyNot available; synthetic-only platform
DatadogAgent-based host, container, serverless, network monitoring with 750+ integrations

Real User Monitoring

ChecklyNot available; synthetic monitoring only
DatadogFull RUM with session replay, error tracking, and performance metrics

Security Monitoring

ChecklyNot available; security is outside product scope
DatadogCloud SIEM, application security, cloud security posture management

Pricing & Plans

Free Tier

Checkly10 monitors, 1K browser / 10K API runs, 1 user
Datadog5 hosts, 1-day metric retention, limited features

Entry Pricing

ChecklyStarter: $24/mo flat (50 monitors, 3K browser, 25K API, 3 users)
DatadogInfrastructure Pro: ~$15/host/mo; Synthetic: ~$1.80/10K test runs

Which approach fits

Checkly is the superior choice for teams focused on synthetic monitoring, offering deeper Playwright integration, monitoring-as-code workflow, and predictable pricing starting at $24/month. Datadog is the right choice when synthetic monitoring is one piece of a broader full-stack observability strategy requiring cross-signal correlation across APM, infrastructure, logs, and synthetic tests.

When each approach fits

Choose Checkly if:

Choose Checkly for focused synthetic monitoring of web applications and APIs with monitoring-as-code workflow, Playwright browser checks, and predictable flat-rate pricing

Choose Datadog if:

Choose Datadog for unified full-stack observability where synthetic monitoring needs to correlate with APM traces, infrastructure metrics, and log data across complex distributed architectures

Choose Checkly if:

Choose Checkly for budget-conscious teams and startups where the $24/month entry price and transparent billing prevent cost surprises common with usage-based platforms

These scenarios reflect the available product evidence. Your requirements, existing stack, and team expertise should guide the final decision.

Frequently Asked Questions

Can Checkly replace Datadog for monitoring?

No, not as a full replacement. Checkly covers synthetic monitoring (browser checks, API checks, uptime monitoring) but does not provide APM, log management, infrastructure monitoring, or real user monitoring. If your team only needs synthetic monitoring, Checkly is a superior and cheaper choice. If you need full-stack observability, Checkly handles one piece and you would need additional tools for the rest.

Is Datadog's synthetic monitoring as good as Checkly's?

Datadog's synthetic monitoring is capable but less developer-friendly than Checkly's purpose-built platform. Datadog supports browser tests and API tests with global coverage, but lacks Checkly's native Playwright integration, monitoring-as-code CLI, and 30-second check frequencies on mid-tier plans. Datadog's synthetic product shines in integration: correlating failures with APM traces and infrastructure metrics.

How do Checkly and Datadog pricing compare for a 20-person engineering team?

For synthetic monitoring only: Checkly's Team plan at $64/month covers 10 users with 75 monitors and 12,000 browser runs. Comparable Datadog synthetic coverage costs $100-300/month depending on volume. For full-stack observability on Datadog with 20 hosts, expect $800-2,000/month or more depending on log volume and APM retention.

Does Checkly support monitoring internal services behind a firewall?

Yes. Checkly's Team plan ($64/month) and Enterprise plan include private locations, which let you run checks from agents deployed inside your network for monitoring internal APIs, staging environments, and services not exposed to the public internet.