Discover SDF Labs, a data platform for SQL that combines a compiler, transformation framework, and analytical database to help data teams prevent errors.

SDF is a developer platform for data, designed to help organizations scale their understanding and use of SQL. It is a single command-line package that combines a multi-dialect SQL compiler, a transformation framework, and an analytical database engine. What sets SDF apart is its ability to deeply extract SQL compilers from cloud environments, meaning it can run proprietary SQL dialects, like the ones used by Snowflake.
SDF helps data teams avoid breaking changes in production systems, speed up development with better error reporting, get clear visibility into column-level lineage, weave business logic directly into their code, and build data warehouses using its built-in analytical database. It also shows the impact of changes in real-time and supports Jinja macros, templates, and SQL variables.
You can start using SDF for free, with paid plans available for support and SDF Cloud services. Subscription plans are designed for individual developers, advanced users, development teams, and large enterprises, and include features like lineage and impact analysis, connectors, integrations, and unlimited compiles, tests, and runs.
SDF was founded by a team of engineers holding PhDs alongside experienced startup product experts. Many previously worked at major tech companies like Meta (Facebook), Google, and Microsoft, giving them deep experience in programming language development.
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