Queries that cost less and run faster

Your dashboards and data pipelines stay as they are. The SQL underneath is rewritten and tested against the original to make sure the results stay the same. Only queries that use fewer credits are kept.

Credits per run

Baseline0
Artemis0

−75%

Snowflake pipelines · a global investment firm

Same analyses, lower warehouse costs.

Fewer credits per run

Find a cheaper way to get the same result. Scan less data and avoid unnecessary work.

The results don't change

Every rewritten query is compared with the original. If the results differ, the rewrite is rejected.

No manual query search

Queries are pulled from your query history, rewritten and tested automatically. Your team reviews the changes that work.

Validated on production warehouses.

Snowflake pipelines

−75% credits per run

same analyses · results identicala global investment firm

Artemis optimizes SQL, not Snowflake specifically. BigQuery, Databricks, and Redshift run through the same process.

Artemis
The SQL you haveAfter Artemis
scan
join
aggregate
sort
return
Credits per run10025
Rows returnedidentical
Anything upstreamunchanged

Optimize once, save on every run after that.

A scheduled query runs repeatedly, often for years. One optimization reduces the cost of every run that follows.

Artemis
The SQL underneaththe queries your dashboards and jobs already run−75% credits
One scheduled queryrunning every hour, all year
A dashboard refreshthe same joins, many times a day
Everyone who opens itand the invoice at the end of the month

See how much you could save on your SQL.

Pick a scheduled query and see how much less it could cost to run.