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Software · head to head

Datadog vs Heap

Datadog logo

Datadog

Software

Modern monitoring & security

From
$15/month
Rated
-
Heap logo

Heap

Software

Product analytics for the modern product team

From
Free
Rated
-

The short version

  • Only Heap has a free tier, so it costs nothing to try first.
  • Each has a real cost: Datadog consumption-based pricing model makes costs hard to predict and can scale quickly; Heap no built-in A/B testing or feature flags; requires integration with separate tools for experimentation
  • They diverge on capability: Datadog covers Infrastructure monitoring, Heap covers Autocapture.

Where they differ

Only the attributes on which Datadog and Heap actually diverge.

Attributes where Datadog and Heap differ
AttributeDatadogHeap
Starting price$15/monthFree
Free tierNoYes
PlatformsWeb, Linux, Windows, macOSWeb, iOS, Android
Founded20102013

Identical on both: pricing model (Unknown), user rating (Not yet rated), category (Unknown).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Datadog

  • Infrastructure monitoring
  • Application performance monitoring
  • Log management
  • Real user monitoring
  • Synthetic monitoring
  • Security monitoring
  • Network monitoring
  • Serverless monitoring

Only in Heap

  • Autocapture
  • Retroactive analytics
  • Session replay
  • Funnel analysis
  • User segmentation
  • Path analysis
  • Data science
  • Virtual events

Both cover

  • SOC2

What people use each for

The jobs each tool is most often brought in to do.

Datadog

  • Infrastructure monitoringnot Heap
  • Application performancenot Heap
  • Security monitoringnot Heap
  • Log analysisnot Heap
  • Cloud monitoringnot Heap

Heap

  • User behavior analysisnot Datadog
  • Conversion optimizationnot Datadog
  • Product adoptionnot Datadog
  • Customer journey mappingnot Datadog
  • A/B testing analysisnot Datadog

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Datadog

  • Consumption-based pricing model makes costs hard to predict and can scale quickly
  • Add-on modules significantly increase costs: custom metrics, indexed spans, extended retention
  • No free tier for production monitoring
  • High costs for organizations with large amounts of log data or high-cardinality metrics

Heap

  • No built-in A/B testing or feature flags; requires integration with separate tools for experimentation
  • Group analytics and advanced features require a sales conversation, not self-serve
  • Cloud-only deployment; no self-hosted option for data security or compliance requirements
  • Session replay lacks developer debugging tools compared to PostHog
  • Pricing for Growth and Pro plans requires direct sales contact; no transparency on how pricing scales

Pricing, plan by plan

Datadog

$15/month
  • Infrastructure Monitoring$15/month
    • Host monitoring
    • Basic dashboards
  • APM$31/month
    • Application performance monitoring
    • Trace collection
  • Log Management$0.1/gb
    • Log indexing
    • Search and filter

Heap

Free
  • FreeFree
    • Up to 10,000 monthly sessions
    • Basic charts
    • 6 months data history
  • Growth$null/custom
    • Custom session pricing
    • Sense AI assistant
    • 12 months data history
  • Pro$null/custom
    • Custom session pricing
    • Account analytics
    • Engagement matrix
  • Premier$null/custom
    • Custom session pricing
    • Data warehouse integration
    • Unlimited projects

Which should you pick?

Choose Datadog if

  • You need infrastructure monitoring.
  • You work on Web, Linux, Windows, macOS.
  • You also want application performance monitoring.

Choose Heap if

  • You need autocapture.
  • You want to start without paying.
  • You work on Web, iOS, Android.
  • You also want retroactive analytics.

Questions people ask

Is Datadog or Heap better?
Neither clearly leads. Datadog starts at $15/month and Heap at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Datadog or Heap?
Heap has a free tier; the other does not. Paid plans start at $15/month for Datadog and Free for Heap.
Does Datadog or Heap run on more platforms?
Datadog runs on Web, Linux, Windows, macOS. Heap runs on Web, iOS, Android.
Can I use Heap for free?
Yes. Heap has a free tier, so you can try it without paying. Datadog starts at $15/month.
What is Datadog best used for?
Datadog is most often used for infrastructure monitoring, application performance, security monitoring, log analysis. Of those, infrastructure monitoring and application performance are not what Heap is typically brought in for.
What can Datadog do that Heap cannot?
Datadog covers Infrastructure monitoring, Application performance monitoring, Log management, Real user monitoring. Heap covers Autocapture, Retroactive analytics, Session replay, Funnel analysis. Both handle SOC2.

Answered from the vendors’ own pages

Datadog: How is Datadog pricing structured?

Datadog uses consumption-based pricing tied to data volume ingested, hosts monitored, and products enabled. Infrastructure Monitoring starts at $15/host/month, APM at $31/host/month, and Log Management at $0.10/GB for indexed logs.

Source
Heap: What does Heap's autocapture feature do?

Heap's autocapture is a single code snippet that automatically captures every click, swipe, tap, pageview, and form fill on your website and apps without requiring manual event setup. Once installed, Heap captures the entire digital experience of every user on every platform with no ongoing engineering maintenance needed.

Source
Datadog: Does Datadog offer a free tier?

Datadog offers a free trial but not a permanent free tier for production monitoring. Pricing begins with paid plans only.

Source
Heap: What are Heap's pricing plans and how much do they cost?

Heap offers a Free plan for up to 10,000 monthly sessions. Growth, Pro, and Premier plans use custom session-based pricing that requires contacting sales for a quote. Free includes basic charts and 6 months data history. Growth adds the Sense AI assistant. Pro adds account analytics. Premier adds data warehouse integration and dedicated customer success management.

Source
Datadog: What integrations does Datadog support?

Datadog offers 1000+ built-in integrations including AWS, Kubernetes, Docker, Azure, GCP, and most major cloud platforms and services.

Source
Heap: Does Heap include session replay and A/B testing?

Heap includes integrated session replay showing exactly what users did on your site. However, Heap does not include built-in A/B testing or feature flags. Teams requiring these capabilities must use separate tools or integrate with third-party platforms.

Source
Datadog: Can Datadog monitor Kubernetes clusters?

Yes. The Datadog Agent runs as a DaemonSet to provide real-time visibility into pods, nodes, deployments, and control-plane health across major Kubernetes distributions including EKS, AKS, GKE, OpenShift, and others.

Source
Heap: What integrations does Heap support?

Heap supports over 100 integrations connecting to business tools including marketing platforms, CRMs, and data warehouses. This allows insights to reach relevant teams and ensures data flows to other business systems automatically.

Source
Datadog: How can I reduce Datadog costs?

Datadog bills based on indexed logs, custom metrics, and high-cardinality tags. Costs can be unpredictable and may run 2-3x estimates. Prepaying annually can secure 5-15% discounts.

Source
Heap: Does Heap offer self-hosting or is it cloud-only?

Heap is cloud-only and does not offer self-hosted options. Organizations requiring on-premises deployment should consider alternatives like PostHog which supports self-hosting alongside its cloud product.

Source
Heap: What is Sense and how does it help with analytics?

Sense Chat is Heap's AI assistant that enables users to access analytics without extensive technical knowledge. It allows teams to ask questions about user behavior and get answers directly without lengthy onboarding or technical expertise, making insights more accessible to non-technical stakeholders.

Source

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