battles / Analytics
Amplitude vs Google Analytics 4
Amplitude ($1,200/mo/mo, vibe code 3/10) vs Google Analytics 4 (usage-based/mo, vibe code 6/10). Google Analytics 4 is the easier one to rebuild yourself — here is what you lose either way.
Analytics
$1,200/mo/mo
- MVP
- 3-4 weeks
- Full replacement
- 12-18 months
Analytics
usage-based/mo
- MVP
- 1-2 weeks
- Full replacement
- 12-18 months
easier to rebuild
get the build prompt →price gap / year
$14,400/mo
running both / year
$14,400/mo
our call
Start with Google Analytics 4 — highest vibe code, weakest moat.
Amplitude
Building a basic event logger and UI takes a few hours, but reproducing Amplitude's query speed across billions of unaggregated events is an infrastructure nightmare. You will sink months into managing ClickHouse clusters, handling session stitching, and tuning DB performance.
you can rebuild
- Basic funnel drop-off calculation across sequential event steps.
- Client-side JavaScript event capturing for pageviews and button clicks.
- Simple user retention charts (Day 1, Day 7, Day 30 retention).
- User timeline viewing showing event sequences for specific IDs.
- Basic cohort segmentation based on static event properties.
what you lose
- Sub-second response times on dynamic, unstructured behavioral cohort queries.
- Automated cross-device identity resolution and retroactive user merging.
- Self-serve UI for non-technical product managers, requiring SQL for custom queries.
- Native sync capabilities with Snowflake, BigQuery, and enterprise CDPs.
- Enterprise-grade SLAs, SOC2 Type II compliance, and GDPR data erasure automation.
real moats
- Proprietary distributed columnar database architecture optimized specifically for non-linear behavioral graph queries.
- Decade of battle-tested SDK performance to prevent blocking client UI execution on slow networks.
- Deep ecosystem integrations with CDP platforms (Segment, RudderStack) and data warehouses (Snowflake, Databricks).
- Data governance, taxonomy controls, and automatic anomaly detection tools built for cross-functional teams.
Google Analytics 4
You can easily build a first-party event tracking script and ClickHouse analytical dashboard that outperforms GA4 in reporting speed and data accuracy. However, you cannot replicate GA4's native identity resolution (Google Signals) or its seamless feedback loop into Google Ads smart bidding strategies.
you can rebuild
- Client-side JavaScript event tracking and session measurement.
- E-commerce conversion funnels (View Product -> Add to Cart -> Checkout -> Purchase).
- Traffic source, UTM campaign, and referrer reporting dashboards.
- Raw event data export to BigQuery or custom data warehouses.
- Custom event dimensions, metrics, and event trigger definitions.
what you lose
- Automatic synchronization of converted audiences directly into Google Ads for retargeting.
- Deterministic cross-device tracking via logged-in Google user accounts (Google Signals).
- Free server-side hosting for billions of hits subsidized by an ad ecosystem.
- Native integration with Google Search Console keyword impression reports.
- Standardized industry familiarity—every agency, freelancer, and marketer already knows the GA4 schema.
real moats
- Google Ads integration: direct automated audience seeding and smart-bidding feedback loops.
- Google Signals: cross-device deterministic identity matching across logged-in Google accounts.
- Zero infrastructure cost for high-volume collection (subsidized by Google's ad business).
Questions people ask
Which is easier to rebuild with AI, Amplitude or Google Analytics 4?
Google Analytics 4. It scores 6/10 on vibe code with a moat of 7/10, so an AI-assisted MVP takes about 1-2 weeks and a full replacement about 12-18 months.
Which one costs less, Amplitude or Google Analytics 4?
Google Analytics 4 at usage-based/mo for a typical mid-market store. The gap between the two is about $14,400/mo a year.
What do I lose if I replace Amplitude?
Sub-second response times on dynamic, unstructured behavioral cohort queries. Automated cross-device identity resolution and retroactive user merging. Self-serve UI for non-technical product managers, requiring SQL for custom queries.
What do I lose if I replace Google Analytics 4?
Automatic synchronization of converted audiences directly into Google Ads for retargeting. Deterministic cross-device tracking via logged-in Google user accounts (Google Signals). Free server-side hosting for billions of hits subsidized by an ad ecosystem.
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