battles / Analytics

Census vs Heap

Census ($1,000/mo/mo, vibe code 4/10) vs Heap ($1,000/mo/mo, vibe code 4/10). Heap is the easier one to rebuild yourself — here is what you lose either way.

KEEP

Analytics

$1,000/mo/mo

Vibe code4/10
Moat4/10
MVP
1 weekend
Full replacement
9-12 months, due to continuous API connector maintenance and delta tracking engines
get the build prompt →
KEEP

Analytics

$1,000/mo/mo

Vibe code4/10
Moat3/10
MVP
2 weeks
Full replacement
9-12 months, due to the scale of high-throughput OLAP data ingestion and client-side DOM mutation tracking

easier to rebuild

get the build prompt →

price gap / year

usage-based

running both / year

$24,000/mo

our call

Start with Heap — highest vibe code, weakest moat.

Census

Writing a script to push SQL query results to an API takes a day, but rebuilding Census requires maintaining dozens of third-party API rate limits, schema evolutions, and delta calculations. Unless you only sync data to 1-2 static endpoints, the ongoing connector maintenance will exhaust developer bandwidth.

you can rebuild

  • Visual field mapping UI
  • Scheduled SQL query execution trigger
  • Basic target API authentication management
  • Sync execution log dashboard
  • Slack alerts on job failures

what you lose

  • Automated schema drift detection across destination APIs
  • Built-in token bucket rate limiting and backoff algorithms
  • High-performance parallelized API batch payload construction
  • Pre-built connector maintenance across hundreds of third-party platforms
  • SOC2-compliant audit logging for sensitive field level updates

real moats

  • Continuous maintenance of hundreds of third-party SaaS REST and GraphQL APIs
  • Engineered incremental sync diffing algorithms optimized for large warehouse queries
  • SOC2 Type II security compliance and enterprise-grade data handling controls

open source escape hatches

Heap

Building a simple custom event tracker takes hours, but Heap's core value is capturing every un-instrumented raw DOM event and querying billions of rows retroactively. Maintaining the ClickHouse infrastructure and low-latency client snippet required for this consumes significantly more engineering resources than a SaaS subscription.

you can rebuild

  • Explicit event logging via API
  • Basic pageview and click counting
  • Standard conversion funnel visualization
  • User identity tracking and aliasing
  • Simple user segment filtering

what you lose

  • Zero-code retroactive event definition on historical raw DOM payloads
  • Client-side automatic DOM change and dynamic hierarchy tracking
  • Managed, highly optimized ClickHouse/OLAP query performance
  • Automatic client-side PII redacting and sensitive field masking
  • Built-in session replay integration and visual event point-and-click definition

real moats

  • Proprietary client-side DOM autocapture engine
  • High-throughput event ingestion and low-latency OLAP querying at scale
  • Retroactive query parsing engine on raw payload streams

open source escape hatches

Questions people ask

Which is easier to rebuild with AI, Census or Heap?

Heap. It scores 4/10 on vibe code with a moat of 3/10, so an AI-assisted MVP takes about 2 weeks and a full replacement about 9-12 months, due to the scale of high-throughput OLAP data ingestion and client-side DOM mutation tracking.

Which one costs less, Census or Heap?

Census at $1,000/mo/mo for a typical mid-market store. The gap between the two is about usage-based a year.

What do I lose if I replace Census?

Automated schema drift detection across destination APIs Built-in token bucket rate limiting and backoff algorithms High-performance parallelized API batch payload construction

What do I lose if I replace Heap?

Zero-code retroactive event definition on historical raw DOM payloads Client-side automatic DOM change and dynamic hierarchy tracking Managed, highly optimized ClickHouse/OLAP query performance

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