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Technology · head to head

Heap vs Lightdash

Heap logo

Heap

Technology

Product analytics for the modern product team

From
Free
Rated
-
Lightdash logo

Lightdash

Business Intelligence

Open-source BI for dbt users

From
Free
Rated
-

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; Lightdash requires existing dbt infrastructure, not suitable for teams without data models
  • They diverge on capability: Heap covers Autocapture, Lightdash covers dbt Integration.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Heap and Lightdash actually diverge.

Attributes where Heap and Lightdash differ
AttributeHeapLightdash
PlatformsWeb, iOS, AndroidWeb, Cloud (managed), Self-hosted (on-premise)
CategoryTechnologyBusiness Intelligence
Founded20132021

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

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 Lightdash

  • dbt Integration
  • Metrics Layer
  • Dashboards
  • Scheduling
  • Version Control
  • dbt
  • BigQuery
  • Snowflake

What people use each for

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

Heap

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

Lightdash

  • Self-service analyticsnot Heap
  • Data explorationnot Heap
  • Ad-hoc reportingnot Heap
  • Collaborative analysisnot Heap
  • Embedded analyticsnot 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

Lightdash

  • Requires existing dbt infrastructure, not suitable for teams without data models
  • Enterprise features and AI agents unavailable in open-source MIT-licensed core

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

Lightdash

Free
  • Open SourceFree
    • MIT-licensed core
    • Self-hostable
    • dbt integration
  • Cloud Managed$undefined/mo
    • Managed hosting
    • Premium features
    • AI agent capabilities

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.

Choose Lightdash if

  • You need dbt integration.
  • You want to start without paying.
  • You work on Web, Cloud (managed), Self-hosted (on-premise).
  • You also want metrics layer.

Questions people ask

Is Heap or Lightdash better?
Neither clearly leads. Heap starts at Free and Lightdash at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Heap or Lightdash?
Heap starts at Free and Lightdash at Free.
Does Heap or Lightdash run on more platforms?
Heap runs on Web, iOS, Android. Lightdash runs on Web, Cloud (managed), Self-hosted (on-premise).
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 Lightdash is typically brought in for.
What can Heap do that Lightdash cannot?
Heap covers Autocapture, Retroactive analytics, Session replay, Funnel analysis. Lightdash covers dbt Integration, Metrics Layer, Dashboards, Scheduling.

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
Lightdash: Is Lightdash free?

Yes. Lightdash is free and open source under the MIT license. Self-hosting is completely free. Managed cloud services and enterprise features require separate licensing.

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
Lightdash: How does Lightdash integrate with dbt?

Lightdash reads dbt models and metric definitions directly. A team defines metrics once in dbt and reuses them across dashboards, exploration, and AI agents without redefinition.

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
Lightdash: Does Lightdash support SQL queries?

Yes. As a modern BI platform for analysts, Lightdash supports full SQL capabilities alongside dbt model exploration and visual query builders.

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
Lightdash: What are Lightdash AI agents?

Lightdash AI agents, available on paid plans, allow natural language queries against your data, generating SQL and visualizations automatically from questions.

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
Lightdash: Can Lightdash be self-hosted?

Yes. Lightdash's MIT-licensed core is completely self-hostable and free. Enterprise features and AI agents ship under separate licensing.

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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