DuckDB-as-a-Service for Apache Iceberg. Connect to S3, R2, MinIO, or WarpStream Tableflow — run SQL instantly — no clusters, no ops, no setup.
Heavy, cluster-based, complex configuration. Hours of setup before your first query.
Athena ties you to AWS. BigQuery to Google. What about multi-cloud freedom?
Surprise bills from scanning terabytes. No visibility into what you're actually paying for.
Wait for clusters to spin up. Wait for queries to run. Wait for results. Rinse, repeat.
DuckDB's blazing performance meets Iceberg's flexibility. Zero infrastructure, maximum speed.
No cluster spin-up time. No waiting. DuckDB processes your Iceberg data at memory speed.
Works with AWS S3, Cloudflare R2, MinIO, WarpStream Tableflow, or any S3-compatible storage. Your data stays yours.
One command deployment. Runs anywhere Docker runs. No complex infrastructure required.
See exactly how much data you're scanning and what it costs. No surprise bills.
MIT licensed. Self-hosted. Modify it, extend it, contribute to it. Community driven.
Beautiful SQL editor with syntax highlighting. Query history. Export capabilities. Built for data professionals.
Need to peek inside Iceberg tables fast without setting up Trino clusters or wrestling with Athena permissions.
Building dashboards with Superset, Rill, or Evidence and need a reliable query scratchpad for prototyping.
Want visibility into data scan costs and query patterns before committing to expensive cloud analytics services.
git clone https://github.com/gordonmurray/cloudfloe
cd cloudfloe
docker compose up -d
Point Cloudfloe at your S3 bucket with Iceberg tables. Works with AWS, Cloudflare R2, MinIO, WarpStream Tableflow, or any S3-compatible storage.
Write SQL, hit Ctrl+Enter, see results instantly. Export to CSV, save queries, track costs.
Real IMDb movie data in Iceberg format, queried instantly with DuckDB
SELECT title, year, rating
FROM movies
WHERE year >= 2020
ORDER BY rating DESC
LIMIT 10;
SELECT genre, COUNT(*) as count,
AVG(rating) as avg_rating
FROM movies
GROUP BY genre
ORDER BY count DESC;
Lightning-fast OLAP engine. Processes gigabytes in seconds. Perfect for analytical workloads.
Modern table format. ACID transactions, schema evolution, partition pruning. Industry standard.
High-performance Python web framework. Automatic OpenAPI docs. Type-safe and fast.
Containerized deployment. Runs anywhere. No dependency hell. One command setup.
Join the data teams already using Cloudfloe to explore their data lakes faster than ever.