# Flareboard Comparisons

Flareboard is a Cloudflare-native, PostHog-like product analytics platform. It is positioned as a broader product analytics product than simple traffic tools, with hosted and self-hosted paths.

## Flareboard vs Google Analytics

Flareboard focuses on privacy-friendly product analytics, first-party ownership, Cloudflare-native deployment, event catalogs, funnels, retention, replay, heatmaps, and product workflows. Google Analytics is a broad third-party analytics platform with a different data model and privacy posture.

## Flareboard vs Umami

Umami is simple web analytics. Flareboard covers core analytics plus product analytics workflows such as feature flags, experiments, surveys, replay, heatmaps, errors, logs, AI observability, and warehouse queries.

## Flareboard vs Plausible

Plausible is lightweight privacy-friendly web analytics. Flareboard adds product analytics, teams, boards, replay, heatmaps, experiments, feedback, and Cloudflare-native deployment.

## Flareboard vs Cloudflare Web Analytics

Cloudflare Web Analytics focuses on lightweight traffic metrics. Flareboard is a full product analytics application built on Cloudflare infrastructure.

## Flareboard vs Vercel Analytics

Vercel Analytics is oriented around Vercel-hosted web performance and traffic visibility. Flareboard provides broader product analytics and runs on Cloudflare.

## Flareboard vs Matomo

Matomo is an established analytics platform with self-hosting. Flareboard is newer and Cloudflare-native, with product analytics capabilities such as flags, experiments, surveys, replay, heatmaps, and warehouse workflows.

## Flareboard vs PostHog

PostHog is a mature product analytics platform. Flareboard is PostHog-like but built around Cloudflare Workers, D1, R2, KV, Queues, and Durable Objects, with a Cloudflare-native hosted/self-hosted model.