June vs Heap: Which is better in 2026?
A side-by-side comparison of pricing, features, and use cases to help you decide between June and Heap.
Product analytics for B2B SaaS teams using Segment data
Auto-capture analytics — no tagging required
Head-to-head comparison
| Feature | June | Heap |
|---|---|---|
| Starting price | $149/mo | Free/mo ✓ Cheaper |
| Free plan | ✓ Yes | ✓ Yes |
| Pricing model | paid | freemium |
| G2 rating | 4.7/5 ↑ | 4.4/5 |
| Capterra rating | 4.6/5 | 4.5/5 |
| Founded | 2020 | 2012 |
June: pros & cons
- ✓Much faster to set up than Amplitude or Mixpanel
- ✓Pre-built SaaS metrics reports
- ✓Company-level analytics out of the box
- ✓Free plan available
- ✗Requires Segment — not standalone
- ✗Limited customisation vs Mixpanel/Amplitude
- ✗Focused on B2B SaaS only
- ✗Smaller ecosystem
Heap: pros & cons
- ✓No manual event tagging needed
- ✓Retroactive analysis
- ✓Good session replay
- ✓Easy to get started
- ✗Pricing not transparent
- ✗Can generate too much noise
- ✗Advanced features expensive
Choose June if...
June is the better choice if you need auto-generated saas reports or company-level analytics, or want to start for free. It scores 4.7/5 on G2.
Read June review →Choose Heap if...
Heap is the better choice if you prioritise auto-capture events or funnel analysis, or need a free plan. It scores 4.4/5 on G2.
Read Heap review →Our verdict
June edges ahead on user ratings (4.7/5 on G2). Heap is the cheaper option. The right choice depends on which features matter most to your team — use the comparison table above to decide.
June vs Heap: frequently asked questions
Is June better than Heap?
June has a higher G2 score (4.7/5 vs 4.4/5). The best tool depends on your specific use case and budget.
Which is cheaper, June or Heap?
Heap is cheaper, starting at Free/mo.
What is the main difference between June and Heap?
June focuses on auto-generated saas reports, company-level analytics, activation tracking. Heap focuses on auto-capture events, funnel analysis, retention analysis. Both serve similar use cases but differ in approach and pricing model.