Databuddy Analytics

Product Introduction

1. Databuddy Analytics is a unified developer platform combining analytics, logs, and feature flags in a single privacy-first solution. It operates across serverless, edge, and stateful environments using a lightweight, type-safe architecture optimized for performance and scalability. The platform eliminates cookies and fingerprinting while ensuring GDPR/CCPA compliance, providing real-time insights without compromising user privacy.

2. The core value lies in replacing fragmented analytics tools with a privacy-by-default system that avoids legal risks and technical debt. It delivers actionable user behavior data without slowing applications or requiring intrusive consent banners, making it ideal for modern development workflows. Developers gain a centralized toolset for observability and feature management while maintaining full data ownership.

Main Features

1. Privacy-First Compliance: Operates without cookies or fingerprinting, ensuring 100% GDPR/CCPA adherence and eliminating consent banners. Data is anonymized using SHA-256 hashing with rotating salts, focusing on behavior patterns rather than personal identifiers. This reduces legal exposure while maintaining audit-ready compliance documentation.
2. Cross-Environment Compatibility: A sub-2KB SDK works in serverless (e.g., Vercel), edge (e.g., Cloudflare Workers), and traditional environments with type-safe integrations for Next.js, SvelteKit, and Node.js. Real-time event processing occurs locally, minimizing latency and network payloads.
3. Unified Analytics & Feature Flags: Combines dashboards, feature toggle controls, and log correlation in one interface. Developers A/B test features while analyzing user impact via integrated session replays and error tracing, all with granular role-based access.

Problems Solved

1. Eliminates Privacy-Performance Trade-offs: Solves conflicts between data accuracy and compliance by providing detailed insights without tracking personal data. Replaces bloated scripts like Google Analytics (45-100KB) with a 2KB alternative, improving page load speeds by up to 1.3x.
2. Targets Privacy-Conscious Developers: Serves teams in regulated industries (healthcare, finance, EU SaaS) and developers optimizing for edge/serverless architectures. Infrastructure engineers benefit from energy-efficient data pipelines consuming 0.0023 kWh per million events.
3. Use Cases: Migrating from Posthog/GA to remove cookie banners while retaining funnel analysis, monitoring feature flag adoption in real time, or debugging edge deployment errors via correlated logs and analytics.

Unique Advantages

1. Vertical Integration: Unlike single-purpose tools (Plausible for analytics, LaunchDarkly for flags), Databuddy merges analytics, logs, and feature management with shared context. Compared to Posthog, it enforces stricter data anonymization and reduces script size by 78%.
2. Type-Safe Event Schemas: Generates tracking code from existing API definitions, reducing implementation errors. Auto-populated dashboards surface metrics like custom event conversions, retention cohorts, and error rates without manual querying.
3. Competitive Differentiation: Only platform offering synchronized feature flag A/B testing with privacy-compliant analytics. Patent-pending compression reduces network traffic, while enforceable DPAs meet enterprise compliance requirements.

Frequently Asked Questions (FAQ)

1. How is Databuddy different from Google Analytics? Databuddy uses zero cookies and processes data within EU/GDPR-compliant boundaries, unlike GA’s reliance on third-party cookies. It reduces script size by 95% (2KB vs. 45KB) and provides raw event-level data access without sampling. Developers can correlate analytics with backend logs and feature flags, which GA cannot.
2. Do I need cookie consent banners? No banners are required, as Databuddy avoids cookies, localStorage, and fingerprinting. Anonymization occurs at ingestion using cryptographic hashing, aligning with EU ePrivacy Directive and CCPA requirements.
3. What’s included in the free plan? The free tier offers 50,000 monthly events, 3 users, 30-day data retention, and basic feature flags. It includes core analytics (page views, custom events, referral sources) and 10GB log storage, with all security features (SSO, audit logs) enabled.
4. How easy is implementation? Developers install via npm install @databuddy/core and add 3-5 lines of initialization code. TypeScript autocompletion pulls events from existing API schemas, enabling tracking setup in under 15 minutes. Prebuilt dashboards auto-populate upon first data receipt.