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Technology · head to head

Heap vs Power BI

Heap logo

Heap

Technology

Product analytics for the modern product team

From
Free
Rated
-
Full reviewWebsite
Power BI logo

Power BI

Business Intelligence

Business analytics by Microsoft

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; Power BI free tier cannot publish or share reports; Pro tier required for collaboration
  • They diverge on capability: Heap covers Autocapture, Power BI covers AI-powered Insights.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Heap and Power BI actually diverge.

Attributes where Heap and Power BI differ
AttributeHeapPower BI
PlatformsWeb, iOS, AndroidWeb, Desktop, Mobile
CategoryTechnologyBusiness Intelligence
Founded20131975

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 Power BI

  • AI-powered Insights
  • Natural Language Queries
  • Real-time Dashboards
  • Paginated Reports
  • Mobile Apps
  • Excel
  • Azure
  • Dynamics 365

Both cover

  • Salesforce

What people use each for

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

Heap

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

Power BI

  • 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

Power BI

  • Free tier cannot publish or share reports; Pro tier required for collaboration
  • Free tier cannot schedule automatic data refreshes
  • Offline capabilities limited to local Power BI Desktop; cloud service always requires internet
  • Data refresh capped at 8 times per day on Pro tier without Premium Per User

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

Power BI

Free
  • FreeFree
    • Local report creation in Power BI Desktop
    • Cannot publish or share
    • No scheduled refreshes
  • Power BI Pro$14/user/month
    • Publish and share reports
    • Up to 8 scheduled refreshes/day
    • Collaborate with other Pro users
  • Premium Per User$24/user/month
    • All Pro features
    • Up to 48 scheduled refreshes/day
    • Copilot integration

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 Power BI if

  • You need ai-powered insights.
  • You want to start without paying.
  • You work on Web, Desktop, Mobile.
  • You also want natural language queries.
Power BI review

Questions people ask

Is Heap or Power BI better?
Neither clearly leads. Heap starts at Free and Power BI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Heap or Power BI?
Heap starts at Free and Power BI at Free.
Does Heap or Power BI run on more platforms?
Heap runs on Web, iOS, Android. Power BI runs on Web, Desktop, Mobile.
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 Power BI is typically brought in for.
What can Heap do that Power BI cannot?
Heap covers Autocapture, Retroactive analytics, Session replay, Funnel analysis. Power BI covers AI-powered Insights, Natural Language Queries, Real-time Dashboards, Paginated Reports. Both handle Salesforce.

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
Power BI: Can I use Power BI Desktop offline?

Power BI Desktop runs locally and can edit reports offline, but publishing to the service and refreshing cloud data sources requires internet connection. Offline reports show cached data from the last refresh.

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
Power BI: What are the data refresh limits for each tier?

Power BI Premium Per User allows up to 48 scheduled refreshes per day, while Pro tier is limited to 8 scheduled refreshes per day. Free tier cannot schedule automatic refreshes.

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
Power BI: Can I use Power BI Free with shared data sources?

Free tier users can create local reports in Power BI Desktop but cannot publish to the Power BI Service for collaboration. Publishing requires Power BI Pro ($14/user/month).

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
Power BI: Is SSO available and on which plan?

SSO is available on Power BI Premium Per User ($24/user/month) and Fabric capacity plans through Azure AD integration.

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
Power BI: What does Copilot require in Power BI?

Copilot for natural language queries and automatic report generation requires Power BI Premium Per User or Fabric capacity pricing, not available on Pro or Free tiers.

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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