Launch offer — 40% off every tier for a limited time. Prices shown are already reduced.

Stacks / Quarry

Data

Quarry
Data and analytics

Collection, pipelines, a warehouse and BI dashboards running on infrastructure you control.

Pipelines and warehouse on your hardware
Dashboards without per-viewer seats
Query cost you can predict

In the box

A working, pinned Docker Compose stack for self-hosted data engineering and analytics. Not a link dump - the integration layer: services wired together, environment template, quickstart, runbook, and a script that fetches the exact upstream sources at pinned commits.

12 components 19 files 5 tiers Docker Compose

Best for

Anyone moving analytics off metered warehouses.

Pricing

Choose your tier

One-time purchase. Higher tiers add components; the top tier adds a live onboarding session. Every tier includes the runbook, verify script and component guides.

Starter

The entry point. Two or three services, one compose file.

$12 ~~$20~~one-time 40% off

Working Compose stack
DuckDB and Polars recipes
Pinned source fetch

Get Quarry Starter

2 components · instant download

Growth

Adds the core services most teams reach for next.

$30 ~~$50~~one-time 40% off

Everything in Local Analytics
Airflow and ClickHouse wired
First DAG walkthrough

Get Quarry Growth

4 components · instant download

Pro

The working set - most of the stack, documented end to end.

$60 ~~$100~~one-time 40% off

Everything in Pipeline Pack
Trino and Superset running
Dashboard and data-app guide

Get Quarry Pro

7 components · instant download

How it fits together

Each service runs as its own container. The compose file defines the network, the volumes and the wiring between them.

Components

12 services, pinned

Every project keeps its own licence and copyright. The stack ships the integration, not a fork.

Component	What it does	Licence	Source
duckdb C++	In-process analytical database.	MIT	upstream fc9d6e9340
polars Rust	Fast DataFrame library for Python.	MIT	upstream 9ee0dc5b81
airflow Python	Workflow orchestration for data pipelines.	Apache 2.0	upstream 484a87b54b
ClickHouse C++	Column-oriented analytics database.	Apache 2.0	upstream c83ecfd441
trino Java	Distributed SQL query engine over many sources.	Apache 2.0	upstream 2cf6ed7e29
superset Python	Dashboards and business intelligence over your warehouse.	Apache 2.0	upstream 549508b340
streamlit Python	Turn Python scripts into data apps.	Apache 2.0	upstream 7716a0c0bb
kafka Java	Distributed event streaming platform.	Apache 2.0	upstream 432141b93a
debezium Java	Change data capture from your databases.	Apache 2.0	upstream 15bcfe1892
iceberg Java	Open table format for large analytic datasets.	Apache 2.0	upstream 411c38b58c
dagster Python	Data orchestration with typed assets.	Apache 2.0	upstream 54577dad9a
prefect Python	Python workflow orchestration.	Apache 2.0	upstream 2338265f65

Documentation

A guide for every component

Written docs that ship inside the archive - role, reasoning and how to run each service.

airflow clickhouse dagster debezium duckdb iceberg kafka polars prefect streamlit superset trino

Quickstart

Run it

# 1. fetch the pinned upstream sources
./fetch-sources.sh ./sources

# 2. configure and start
cp .env.example .env
docker compose up -d

# 3. confirm everything came up
./verify.sh

Docker Engine 24+ with the Compose v2 plugin. 4 GB RAM for light tiers, 16 GB+ for the complete deployment.

Quarry Data and analytics