---
title: "CinePro - 230M Rows, 16GB Database, Instant Queries with DuckDB"
slug: cinepro-movie-explorer-duckdb
date_published: 2026-01-28T10:00:00.000Z
original_url: https://www.tigzig.com/post/cinepro-movie-explorer-duckdb
source: native
processed_at: 2026-01-28T10:00:00.000Z
---

# CinePro - 230M Rows, 16GB Database, Instant Queries with DuckDB

![CinePro Movie Explorer](/images/blog/cineproLanding_v2.png)

230M rows, 16GB database. Instant queries. Just DuckDB. Built dashboards on IMDb data to see what it can handle (12M titles, 15M people).

Running on my $7/month Hetzner server, sharing resources with 40 of my other backends. Queries hit a single DuckDB file via an API layer. Easy to setup, fast and cost efficient.

**Live:** [https://www.tigzig.com/movie-explorer](https://www.tigzig.com/movie-explorer)

## What You Can Do

- **Search as you type:** results show up instantly
- **Instant Filter:** rating, votes, era, genre, names, titles - all together
- **Find similar movies:** Jaccard similarity on cast, director, genre
- **Click any actor:** get full career, timeline charts, automatic co-stars
- **Compare people:** side by side career stats
- **Live query timer:** shows execution time in milliseconds on every page

## Tech Stack

- 12M titles, 15M people, 230M+ rows, 16GBs - all in a single DuckDB file
- Backend: FastAPI layer for DuckDB, React frontend
- Fast queries: Pre-aggregated flattened tables
- Two servers: Hetzner and Oracle OCI replicated - switch with UI toggle
- Security: Serverless proxy, backend API keys, per-IP rate limiting
- Smart Search toggle, Concurrency, Auth (Clerk - enable via toggle)

## Fully Open Source

Hit 'Docs' on app site. Frontend, backend, DuckDB setup, processing scripts and the full DuckDB file also if you'd like to download. Pick-and-choose components and patterns that you like for your own dashboards.

**Note:** Built with [IMDb's public datasets](https://developer.imdb.com/non-commercial-datasets/). Used as per license terms for non-commercial purposes.
