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Best Amplitude Alternatives

Reviewed byRoman K

3 alternatives to Amplitude in Analytics, compared by pricing, DX grade, security, and vendor lock-in.

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#1

PostHog

Engineers who want to self-host, full product suite

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Price vs Amplitude
Cheaper, open source option
DX Grade
A
Security
A
Lock-in Risk
Low (1/10)
#2

Mixpanel

Funnel analysis, cohorts, product teams

Price vs Amplitude
Similar pricing
DX Grade
B
Security
B
Lock-in Risk
Medium (3/10)
#3

Heap

Auto-capture all events, retroactive analysis

Price vs Amplitude
Similar, auto-capture focus
DX Grade
B
Security
B
Lock-in Risk
Medium (4/10)

Pricing and traction at a glance

Of the 3 alternatives listed, 1 are tracked with full data: 1 keep a free plan. Paid entries run from $0/mo (PostHog) to $0/mo (PostHog). PostHog carries the most GitHub traction with 35,200 stars. Switching cost is usually driven by lock-in, not by the sticker price.

ToolPricingFree planGitHub stars
PostHogfreemium — from $0/moyes35,200

FAQ

What are the best Amplitude alternatives in 2026?

The top alternatives to Amplitude are PostHog, Mixpanel, Heap. Each offers different trade-offs in pricing, developer experience, and lock-in risk.

Is there a free alternative to Amplitude?

Several Amplitude alternatives offer free tiers or self-hosted options: check individual pricing pages for current free tier availability.

How many Amplitude alternatives are tracked here?

3 in the Analytics category, compared on price difference, lock-in risk and developer experience where editorial data exists.

Frequently asked questions

What are the best Amplitude alternatives in 2026?▾

The top alternatives to Amplitude are PostHog, Mixpanel, Heap. Each offers different trade-offs in pricing, developer experience, and lock-in risk.

Is there a free alternative to Amplitude?▾

Several Amplitude alternatives offer free tiers or self-hosted options: check individual pricing pages for current free tier availability.

How many Amplitude alternatives are tracked here?▾

3 in the Analytics category, compared on price difference, lock-in risk and developer experience where editorial data exists.