Tobiko offers a dbt-compatible data transformation platform built on the open-source SQLMesh and SQLGlot projects, combined with an intuitive low-code interface for building pipelines and transformations. The company launched a cloud platform that includes features like syntax checking, change tracking, and virtual data environments for development and reuse. Its tooling understands SQL (via SQLGlot), enabling observability that ties failures to specific code changes and versions. Tobiko targets data engineering teams and counts customers of all sizes, including some unicorn startups, with dbt users among those switching to the platform. The founders—Tyson Mao, Toby Mao, and Iaroslav Zeigerman—bring experience from Apple, Airbnb, Google and Netflix and emphasize scaling for both large data volumes and large teams. The team says its longer-term goal is to build a semantics layer, but it is prioritizing solving transformation first.

Total raised

$22M

Funding rounds

2

Latest round

Seed

Latest activity

Jun 2024