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Business Intelligence · head to head

Databox vs Heap

Databox logo

Databox

Business Intelligence

KPI dashboards for business performance

From
Free
Rated
-
Full reviewWebsite
Heap logo

Heap

Technology

Product analytics for the modern product team

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Databox data sources are the billing unit, and the $159 Pro plan still includes only 3 before charging $5.60 for each additional one; Heap no built-in A/B testing or feature flags; requires integration with separate tools for experimentation
  • They diverge on capability: Databox covers Pre-built Dashboards, Heap covers Autocapture.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Databox and Heap actually diverge.

Attributes where Databox and Heap differ
AttributeDataboxHeap
Pricing modelsubscriptionUnknown
PlatformsWeb, Mobile, TvWeb, iOS, Android
CategoryBusiness IntelligenceTechnology
Founded20112013

Identical on both: starting price (Free), 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 Databox

  • Pre-built Dashboards
  • Goal Tracking
  • Alerts
  • Scorecards
  • Mobile App
  • Google Analytics
  • Facebook
  • LinkedIn

Only in Heap

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

Both cover

  • HubSpot
  • Salesforce

What people use each for

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

Databox

  • Building business dashboards from multiple SaaS data sourcesnot Heap
  • Tracking KPIs and metrics across marketing, sales and finance toolsnot Heap

Heap

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

Where each one falls short

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

Databox

  • Data sources are the billing unit, and the $159 Pro plan still includes only 3 before charging $5.60 for each additional one
  • The $64 Analyst plan is capped at 5 data sources and a single user
  • The free plan allows 3 data sources, 10 custom metrics and one user
  • AI credits are metered monthly, from 50 on free to 4,000 on Growth
  • Every published price assumes annual billing, with monthly costing 20% more

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

Databox

Free
  • FreeFree
    • 3 data sources
    • 1 user
    • 1 dashboard/report
  • Analyst$64/month
    • 5 data sources
    • 1 user
    • Unlimited dashboards and reports
  • Pro$159/month
    • 3 included data sources (additional at $5.60/month)
    • Unlimited users
    • Unlimited dashboards, reports, custom metrics
  • Growth$399/month
    • 3 included data sources (additional at $5.60/month)
    • Unlimited users
    • All Pro features plus full datasets and forecasting

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

Which should you pick?

Choose Databox if

  • You need pre-built dashboards.
  • You want to start without paying.
  • You work on Web, Mobile, Tv.
  • You also want goal tracking.
Databox review

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

Questions people ask

Is Databox or Heap better?
Neither clearly leads. Databox starts at Free and Heap at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Databox or Heap?
Databox starts at Free and Heap at Free.
Does Databox or Heap run on more platforms?
Databox runs on Web, Mobile, Tv. Heap runs on Web, iOS, Android.
Can I use Databox for free?
Both have a free tier, so you can try either at no cost before committing.
What is Databox best used for?
Databox is most often used for building business dashboards from multiple saas data sources, tracking kpis and metrics across marketing, sales and finance tools. Of those, building business dashboards from multiple saas data sources and tracking kpis and metrics across marketing, sales and finance tools are not what Heap is typically brought in for.
What can Databox do that Heap cannot?
Databox covers Pre-built Dashboards, Goal Tracking, Alerts, Scorecards. Heap covers Autocapture, Retroactive analytics, Session replay, Funnel analysis. Both handle HubSpot, Salesforce.

Answered from the vendors’ own pages

Databox: How much does Databox cost?

Databox is free for basic use with 3 data sources and 50 AI credits. Paid plans start at $64/month for the Analyst tier, $159/month for Pro, and $399/month for Growth (most popular). Prices shown are for annual billing; monthly billing costs more. Custom enterprise pricing is available.

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
Databox: What is the difference between Databox plans?

Free plan limits users to 1 with 3 data sources. Analyst tier allows 1 user with 5 data sources and API access. Pro tier adds unlimited users and hourly syncing. Growth tier (most popular) provides 15-minute sync, full forecasting, and a dedicated customer success manager.

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
Databox: How many users can I add to Databox plans?

Free and Analyst tiers are limited to 1 user. Pro, Growth, and Custom tiers offer unlimited users with no per-seat fees.

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
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
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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