Tobiko

Tobiko Cloud equips data teams with state-aware tools to run only the changes that matter within their data warehouses. By automatically tracking SQL changes and run history, the platform ensures that users update only impacted tables during development and production runs, reducing processing costs and speeding up model build times. Tobiko Cloud parses SQL code in advance to catch syntax and compile-time issues instantly, allowing developers to debug transformation errors before running them in the warehouse.

The platform uses state-aware architecture to build virtual data environments via views, enabling exact copies of production data for development, true blue-green deployments, and near-zero warehouse processing costs. Column-level lineage features provide a clear view of data flow and instantly show how changes impact downstream columns and tables, distinguishing between breaking and non-breaking alterations. Tobiko Cloud is built to be backwards-compatible with other frameworks like dbt, enabling teams to switch easily without rewriting their entire existing projects.

The platform supports multiple deployment options including cloud-only, hybrid with self-hosted runners, and fully on-premise setups. Notable integrations include Databricks, Snowflake, BigQuery, Redshift, MotherDuck, DuckDB, Athena, MySQL, MSSQL, Postgres, and GCP Postgres, alongside built-in scheduling and orchestration capabilities as well as support for Airflow and Dagster. Pricing consists of a platform fee for feature access combined with a pay-as-you-go consumption fee, with no limits on seats or projects.