Hypertenant analytics · should be easy

rubberduck

Quick, easy, Cloudflare-native hypertenant analytics.

Scales to zero, runs 25× faster than D1 on groupbys, no need to go to another provider.

$curl -X POST …/query -d '{"sql":"SELECT count(*) FROM lineitem"}'

session · org_tpch

httpPOST /v1/orgs/org_tpch/query

eventsession.started org="org_tpch"

eventduckling.placement tier=worker

eventstorage.read r2://org_tpch/lineitem/*.parquet

sqlSELECT count(*) FROM lineitem

→ 600572 rows · wall 174ms

eventsession.completed

Three services. One deploy. SQL over Parquet.

No ceremony. Need more than a Worker later? Scaling.

Workers + R2 + D1. No second cloud, no data copy. wrangler deploy and query — bindings you already know.

Scale to zero between queries. ~$5/mo floor when nobody's asking questions — not always-on warehouse CU.

DuckDB on Parquet beats D1 on groupbys by 25–98× at 1M rows. Keep D1 for org rows, not your lake.

→

Query org_tpch or org_clickbench now. Bearer demo-token.

Scales to zero, runs 25× faster than D1 on groupbys, no need to go to another provider.

Workers + R2 + D1. No second cloud, no data copy. wrangler deploy and query — bindings you already know.

Scale to zero between queries. ~$5/mo floor when nobody's asking questions — not always-on warehouse CU.

DuckDB on Parquet beats D1 on groupbys by 25–98× at 1M rows. Keep D1 for org rows, not your lake.