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Technology · head to head

Heap vs LaunchDarkly

Heap logo

Heap

Technology

Product analytics for the modern product team

From
Free
Rated
-
Full reviewWebsite
LaunchDarkly logo

LaunchDarkly

Technology

Ship fast. Rest easy.

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Heap no built-in A/B testing or feature flags; requires integration with separate tools for experimentation; LaunchDarkly pricing scales rapidly with monthly active users, becoming expensive at scale
  • They diverge on capability: Heap covers Autocapture, LaunchDarkly covers Feature flags.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Heap and LaunchDarkly actually diverge.

Attributes where Heap and LaunchDarkly differ
AttributeHeapLaunchDarkly
PlatformsWeb, iOS, AndroidWeb, Cloud, APIs
Founded20132014

Identical on both: starting price (Free), pricing model (Unknown), free tier (Yes), user rating (Not yet rated), category (Technology).

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 Heap

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

Only in LaunchDarkly

  • Feature flags
  • Progressive rollouts
  • User targeting
  • A/B testing
  • Kill switches
  • Audit log
  • Multi-environment
  • SDKs for all platforms

Both cover

  • SOC2
  • GDPR

What people use each for

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

Heap

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

LaunchDarkly

  • Progressive deliverynot Heap
  • Feature experimentationnot Heap
  • Risk mitigationnot Heap
  • Performance optimizationnot Heap
  • Infrastructure migrationnot Heap

Where each one falls short

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

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

LaunchDarkly

  • Pricing scales rapidly with monthly active users, becoming expensive at scale
  • Limited seats for engineers on standard plans, forcing upgrade to enterprise
  • Advanced features like experimentation and audit logs require higher-tier plans
  • Occasional reliability issues and backend delays reported by users

Pricing, plan by plan

Heap

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

LaunchDarkly

Free
  • DeveloperFree
    • Unlimited seats
    • Unlimited feature flags
    • A/B tests and experiments
  • Foundation$undefined/mo
    • $12 per connection
    • $10 per 1K MAU
    • Targeted segmentation
  • Enterprise$undefined/mo
    • Custom pricing
    • Advanced automation
    • Compliance features

Which should you pick?

Choose Heap if

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

Choose LaunchDarkly if

  • You need feature flags.
  • You want to start without paying.
  • You work on Web, Cloud, APIs.
  • You also want progressive rollouts.
LaunchDarkly review

Questions people ask

Is Heap or LaunchDarkly better?
Neither clearly leads. Heap starts at Free and LaunchDarkly at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Heap or LaunchDarkly?
Heap starts at Free and LaunchDarkly at Free.
Does Heap or LaunchDarkly run on more platforms?
Heap runs on Web, iOS, Android. LaunchDarkly runs on Web, Cloud, APIs.
Can I use Heap for free?
Both have a free tier, so you can try either at no cost before committing.
What is Heap best used for?
Heap is most often used for user behavior analysis, conversion optimization, product adoption, customer journey mapping. Of those, user behavior analysis and conversion optimization are not what LaunchDarkly is typically brought in for.
What can Heap do that LaunchDarkly cannot?
Heap covers Autocapture, Retroactive analytics, Session replay, Funnel analysis. LaunchDarkly covers Feature flags, Progressive rollouts, User targeting, A/B testing. Both handle SOC2, GDPR.

Answered from the vendors’ own pages

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
LaunchDarkly: What does the free Developer plan include?

The free Developer plan includes unlimited seats, unlimited feature flags, A/B tests and experiments, 30 SDKs, 10 million logs and traces, 5,000 session replays and errors, and 14 days of data retention.

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
LaunchDarkly: How does LaunchDarkly pricing scale?

Foundation plan pricing is $12 per connection plus $10 per 1,000 Monthly Active Users (MAU). Enterprise and Guardian plans have custom pricing based on usage, advanced features, and compliance requirements.

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
LaunchDarkly: Does LaunchDarkly integrate with Jira and Slack?

Yes, LaunchDarkly integrates with Jira Cloud, allowing you to link feature flags to Jira issues and create issues from observability data. It also integrates with Slack for flag notifications and allows authorized members to trigger flag changes from Slack.

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
LaunchDarkly: What is dark launching and how does LaunchDarkly enable it?

Dark launching keeps code changes hidden in production until ready to enable. LaunchDarkly enables this through feature flags that let teams safely test code in production before rolling out to users.

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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