https://github.com/stratif-io/stratif.io
Open-source warehouse-native product analytics for DuckDB, Snowflake, ClickHouse, Databricks, and Postgres. Funnels, retention, paths — directly on your warehouse, no ingestion pipeline, no per-event fees.
https://github.com/stratif-io/stratif.io
analytics business-intelligence clickhouse cohort-analysis data-visualization databricks docker duckdb funnel-analysis open-source postgresql product-analytics retention-analysis self-hosted snowflake sql-analytics sql-editor warehouse-analytics warehouse-native web-analytics
Last synced: about 2 months ago
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Open-source warehouse-native product analytics for DuckDB, Snowflake, ClickHouse, Databricks, and Postgres. Funnels, retention, paths — directly on your warehouse, no ingestion pipeline, no per-event fees.
- Host: GitHub
- URL: https://github.com/stratif-io/stratif.io
- Owner: stratif-io
- License: apache-2.0
- Created: 2026-03-18T12:18:11.000Z (3 months ago)
- Default Branch: develop
- Last Pushed: 2026-04-24T18:57:26.000Z (about 2 months ago)
- Last Synced: 2026-04-24T19:11:47.723Z (about 2 months ago)
- Topics: analytics, business-intelligence, clickhouse, cohort-analysis, data-visualization, databricks, docker, duckdb, funnel-analysis, open-source, postgresql, product-analytics, retention-analysis, self-hosted, snowflake, sql-analytics, sql-editor, warehouse-analytics, warehouse-native, web-analytics
- Language: TypeScript
- Homepage: https://stratif.io
- Size: 13.4 MB
- Stars: 2
- Watchers: 0
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
Awesome Lists containing this project
README
[](LICENSE)
[](pyproject.toml)
[](package.json)
[](https://github.com/stratif-io/stratif.io/pkgs/container/stratif.io)
**The first open-source, self-hosted option for warehouse-native product analytics — works directly on your existing data warehouse.**
[Website](https://stratif.io) · [Live Demo](https://demo.stratif.io) · [Quick Start](#-quick-start) · [Docs](https://docs.stratif.io) · [Contributing](CONTRIBUTING.md)
---
---
## Why warehouse-native analytics?
**Your events are already in your warehouse. Stop sending them somewhere else.** Every SaaS analytics platform makes you re-pipe your data into their system — creating vendor lock-in, duplicating data, and adding cost. stratif.io connects directly to your existing DuckDB, Postgres, Snowflake, or ClickHouse. No ingestion. No pipelines. No data ever leaves your infrastructure.
**Open source and self-hosted.** No vendor lock-in, no surprise invoices. One install script and you own your analytics stack completely.
**Learn product analytics hands-on.** stratif.io ships with ~5,000 realistic sample events. Explore funnels, retention, and user journeys without needing your own data — no account, no credit card.
### What is warehouse-native analytics?
Warehouse-native analytics is a category of tools that run product analysis — funnels, retention, paths — directly on the events already in your data warehouse (DuckDB, Snowflake, ClickHouse, Databricks, Postgres). No ingestion pipeline. No SDK. No duplicate copy of your data in a third-party SaaS.
### Who is stratif.io for — and who is it not for?
**stratif.io is for you if** your product events are already in a SQL warehouse, you want self-hosted funnels, retention, and path analysis on that data, and you don't want to pay per event or hand your data to a SaaS vendor.
**stratif.io is _not_ a full-stack replacement for Mixpanel or Amplitude.** It does not ship SDKs, experimentation, session replay, or push notifications. If you need those, pair stratif.io with a platform that does event collection, or keep using your current tool for those specific capabilities.
---
## ⚡ Quick Start
```bash
curl -fsSL https://stratif.io/install.sh | sh
```
Open **http://localhost:6870** when it's done. For Docker Compose and advanced setup, see [docs.stratif.io](https://docs.stratif.io).
---
## 🗄️ Supported Databases
DuckDB · SQLite · PostgreSQL · ClickHouse · Snowflake · Databricks
- **Point stratif.io at your database** — one row per event, with a timestamp, a user ID, and an event name
- **Select your events table** — any additional columns are picked up automatically as filterable properties
- **Explore** funnels, retention, journeys, sessions, and SQL directly in the UI
---
## 📊 Comparison
| | stratif.io | Amplitude / Mixpanel | PostHog | Warehouse-native SaaS\* |
| ------------------------------- | :--------: | :------------------: | :-----: | :---------------------: |
| Open source | ✅ | ❌ | ✅ | ❌ |
| Self-hosted | ✅ | ❌ | ✅ | ❌ |
| Warehouse-native (no ingestion) | ✅ | ❌ | ❌ | ✅ |
| No usage-based pricing | ✅ | ❌ | ❌ | ❌ |
| Sample data to learn with | ✅ | ❌ | ❌ | ❌ |
_\* Mitzu, Kubit, Optimizely (ex-NetSpring), Statsig — all closed-source, cloud-only, paid._
---
PRs welcome. See [CONTRIBUTING.md](CONTRIBUTING.md).
**License:** Apache-2.0 © Carlo Abi Chahine
---
---
Built on the shoulders of giants — [React](https://react.dev), [FastAPI](https://fastapi.tiangolo.com), [SQLGlot](https://github.com/tobymao/sqlglot), [shadcn/ui](https://ui.shadcn.com), [TanStack Query](https://tanstack.com/query), [Zustand](https://zustand-demo.pmnd.rs), [Recharts](https://recharts.org), [Tailwind CSS](https://tailwindcss.com).