Compare rawquery.
Honest comparisons with the products the modern data stack is built on. What we do better, what they do better, and when to pick which.
No cherry-picking. No asterisks. If they beat us at something, we say so.
rawquery vs Snowflake
Flat pricing, EU jurisdiction, data stored as open Parquet. Under ~10 TB, you don't need Snowflake's scale, and you pay for it anyway.
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rawquery vs Fivetran
8 built-in connectors plus a JSON spec for any API. No MAR pricing. Data lands directly in your lakehouse as open Parquet on S3. No warehouse required on top.
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rawquery vs dbt
SQL transforms without YAML, Jinja, or a separate adapter config. Runs in the same product as the data it reads.
Read comparison →Upgrading from
When a simpler tool stops scaling. Complement, no trash-talk.
After the spreadsheet
When your workbook has quietly become a database. Signs you have outgrown Sheets, the migration path (CSV push + live connector), and when staying in Sheets is the right call.
Read the upgrade guide →