Multi-ComputeTM

Save 56% on compute.Any engine. Zero rewrites.

  • cheapest engine that fits
  • validated row by row
  • zero SQL rewrites

your dbt modelsany enginesame numbers

Chat with FoundersSee how it works

[ runs on ]

  • StarRocks
  • Spark
  • Trino
  • DuckDB
  • Snowflake
  • Databricks

[ how it works ]

Same models. Cheaper engine. Same numbers.

zingle ~ write

SQL query

ANSI standard
mart_loyalty.sql
 
 
 
 
 

[ engine flexibility ]

Your dbt models, on open-source engines we run for you.

Cross-engine SQL

Write one dialect, run anywhere

Translates Snowflake SQL to Spark, StarRocks or Trino, then checks the output row by row. You don't rewrite anything.

Snowflake

DATEADD('day', -7, t)
IFF(active, 1, 0)
SUM(amt) OVER (...)

Spark

date_sub(t, 7)
CASE WHEN active
SUM(amt) OVER (...)
Row-level match · 100%12.84M rows

[ cost controls ]

See what each pipeline costs. Catch the spike before the invoice does.

Cost per pipeline

Every run, priced

Tag every run by engine, cluster, and query. Cost-per-event metrics as readable as your application infra.

Spend

$

Was

$11,430

Saved

Top cost drivers

fct_session_agg$
stg_order_events$
mart_revenue_daily$

[ read next ]

Run dbt on the engine that fits.

use caseMigrationModel by model, checked against the warehouse you're leaving.Read →run log · Leading consumer tech35% of compute, removed on a cron110 PRs, and the 0.4% two dashboards disagreed on.Read →essayWhy data is differentRL dies on the reward function. Data was born with one.Read →

Working on something like this? Chat with Founders →