SDF Labs (Productivity)
Screenshot of SDF Labs

SDF Labs

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

Screenshot

What is SDF Labs?

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.

Who created SDF Labs?

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.

What is SDF Labs used for?

  • Preventing production issues: Stops breaking changes from reaching live systems through real-time impact analysis.
  • Faster development: Timely error reports and isolated environments speed up coding.
  • Clear lineage: Precise column-level lineage provides transparency into your data warehouse.
  • Integrating business logic: Incorporate business logic into code using smart metadata and built-in guardrails.
  • Building data warehouses: Create data warehouses with an analytical database that runs directly within the system.

Who is SDF Labs for?

  • Data engineers
  • Software developers
  • Development teams
  • Businesses of all sizes
  • Students learning about data

How to use SDF Labs?

  1. Get started via the CLI. The command-line interface is free to use; support and SDF Cloud require paid plans.
  2. Leverage Jinja support. SDF fully supports Jinja macros, templates, and SQL variables.
  3. Run code checks. Use Code Checks to find and fix common code patterns, helping keep data private and high-quality.
  4. Choose a plan. SDF offers Personal, Plus, Professional, and Enterprise subscription tiers to fit different needs.

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