Better Stack vs Checkly

Better Stack bundles logs, metrics, tracing, uptime monitoring, and RUM into one observability platform with AI-driven root-cause analysis and post-mortem…

Best for Better Stack: Teams that want logs, metrics, tracing, and uptime monitoring consolidated in one platform with AI-assisted root-cause analysis and automated post-mortems, and that are comfortable with usage-based telemetry pricing.
Best for Checkly: Engineering teams that manage monitoring as code (via CLI, Terraform, or Pulumi) and want a simpler, check-count-based pricing ladder, especially startups or nonprofits eligible for Checkly's discounts.

At a Glance

 Better StackCheckly
Primary categoryDevOpsDevOps
RatingNot documentedNot documented
Pricing modelFreemiumFreemium (usage-based)
Starting priceFreeFree (Hobby plan)
Free planYesYes
Free trialNot documentedNot documented
PlatformsWebWeb
Team collaborationNot documentedNot documented
AI featuresYesYes
Public APIYesYes

Key Differences

Monitoring as code

Better Stack: Not documented as a distinct capability in the facts reviewed.

Checkly: Checks can be deployed via CLI, Terraform, or Pulumi using typed resources like ApiCheck and BrowserCheck.

Defining monitors in version-controlled code lets teams review, test, and deploy monitoring changes the same way they manage infrastructure.

Observability breadth

Better Stack: Bundles logs, metrics, distributed tracing (with eBPF-based service maps), uptime monitoring, and real user monitoring with session replay in one platform.

Checkly: Focused on uptime, browser/synthetic, and heartbeat monitoring; no log management, metrics, or tracing product is documented.

A single platform covering logs, traces, and monitoring reduces the number of tools a team has to correlate during an incident.

AI-assisted incident response

Better Stack: AI SRE feature provides AI-driven root cause analysis and automated post-mortem generation.

Checkly: AI root cause analysis feature helps trace the cause of detected issues.

Automated post-mortem generation goes a step further than root-cause tracing by producing incident documentation, saving manual write-up time.

Pricing structure

Better Stack: Scales through separate telemetry bundles (Nano $25-$105/month up to Tera $420-$1,750/month) plus per-responder incident management pricing.

Checkly: Scales through check-count tiers: Hobby (free), Starter $24/month, Team $64/month, Enterprise (custom).

A single-axis pricing ladder is easier to forecast than multiple usage-based add-ons across different products.

Startup and nonprofit discounts

Better Stack: Not documented in the facts reviewed.

Checkly: 30% discount for startups under 2 years old and 50% for nonprofits.

Explicit discount programs materially lower cost for early-stage or mission-driven organizations.

Feature-by-Feature

Core Monitoring

FeatureBetter StackCheckly
Uptime monitoringAvailableAvailable
Browser/synthetic monitoringAvailableAvailable
Heartbeat monitoringAvailableAvailable
Log managementAvailableNot documented
Distributed tracingAvailableNot documented
Real user monitoring / session replayAvailableNot documented

Monitoring as Code & AI

FeatureBetter StackCheckly
CLI / Terraform / Pulumi deploymentNot documentedAvailable
AI root cause analysisAvailableAvailable
Automated post-mortem generationAvailableNot documented

Pricing & Plans

FeatureBetter StackCheckly
Free planAvailableAvailable
Startup/nonprofit discountsNot documentedAvailable
Money-back guaranteeAvailableNot documented

Pricing Compared

Starting price reflects the lowest paid tier, not the full cost for every team size or usage level.

Better Stack

Free — $0/month monthly
Responder — $29-34/month monthly or annual
Telemetry (Nano-Tera bundles) — $30-$1,750/month monthly or annual

Checkly

Hobby — Free monthly
Starter — ~$24/month annual
Team — ~$64/month annual
Enterprise — Custom annual

Pros & Cons

Better Stack

Pros

  • Free tier is usable for real projects, not just a trial
  • Combines monitoring, logging, and incident response in one product and one bill
  • Consumption-based telemetry pricing can be cheaper than flat-rate legacy observability vendors
  • Fast setup with SQL/PromQL/drag-and-drop querying options

Cons

  • Pricing structure is granular (role + monitors + telemetry bundles), which can be harder to estimate upfront than a flat per-seat price
  • Log/trace retention on the free tier is short (3 days)
  • Advanced incident workflows and extra monitors require add-on charges
  • Younger company (founded 2021) with a smaller track record than legacy observability vendors

Checkly

Pros

  • Generous free Hobby tier with no credit card required
  • Reuses existing Playwright test suites as production monitors
  • Code-first workflow fits naturally into modern CI/CD pipelines
  • AI-assisted failure triage (Rocky) reduces incident investigation time

Cons

  • All 22 monitoring locations, RBAC, and status pages require the Team tier or above
  • Overage charges can add up at high check volumes
  • Full value requires familiarity with Playwright and code-based configuration
  • Enterprise pricing is not publicly listed

Use Cases

Choose Better Stack: Teams that want logs, metrics, tracing, and uptime monitoring consolidated in one platform with AI-assisted root-cause analysis and automated post-mortems, and that are comfortable with usage-based telemetry pricing.
Choose Checkly: Engineering teams that manage monitoring as code (via CLI, Terraform, or Pulumi) and want a simpler, check-count-based pricing ladder, especially startups or nonprofits eligible for Checkly's discounts.
Need both: Teams already running a separate log/metrics pipeline may adopt Checkly specifically for infrastructure-as-code synthetic and browser checks, while relying on Better Stack (or an equivalent) for the broader logs/traces/RUM observability layer.

Better Stack

  • Consolidating observability tools — Engineering teams replace separate uptime, logging, and on-call vendors with one integrated platform.
  • Cost-sensitive log management — Teams outgrowing free logging tiers elsewhere move to Better Stack's usage-based telemetry pricing to control costs at scale.
  • Public status communication — Teams stand up branded status pages tied directly to live monitor data to communicate uptime to customers.

Checkly

  • Uptime and API monitoring — Continuously monitor critical APIs and endpoints and get alerted the moment something breaks.
  • Reusing E2E tests as monitors — Turn existing Playwright end-to-end test suites into scheduled production monitors without duplicate code.
  • Global synthetic monitoring for SRE teams — Monitor user-facing flows from multiple global regions with alerting and status pages.

Frequently Asked Questions

Does Better Stack have a free plan?

Yes, a free plan is available with 10 monitors/heartbeats, 1 status page, and 100,000 exceptions per month.

Is Checkly free to start?

Yes, the Hobby plan is free with 10 uptime monitors, 1,000 browser checks/month, and 10,000 API checks/month, no credit card required.

Can Checkly monitoring be defined as code?

Yes, via its CLI and Terraform or Pulumi providers using typed check resources like ApiCheck and BrowserCheck.

Does Better Stack include logs and tracing, not just uptime checks?

Yes, Better Stack's observability stack includes log management, metrics, and distributed tracing with eBPF-based service maps, in addition to uptime monitoring.

Do either offer AI-assisted incident analysis?

Both do. Better Stack's AI SRE provides AI-driven root cause analysis plus automated post-mortem generation; Checkly's AI feature helps trace the cause of detected issues.

Are there discounts for startups or nonprofits?

Checkly offers a 30% discount for startups under 2 years old and 50% for nonprofits. No equivalent discount is documented for Better Stack.

Read the full Better Stack review · Read the full Checkly review