SDF Labs

What is SDF Labs?

SDF is a developer platform for data that aims to scale SQL understanding across organizations. It is a multi-dialect SQL compiler, transformation framework, and analytical database engine in a single CLI package. Unlike other tools, SDF can extract SQL compilers deeply from clouds, allowing it to execute proprietary SQL dialects like Snowflake. SDF helps data teams prevent breaking changes in production, develop faster with error reporting, gain column-level lineage transparency, integrate business logic into code, and build data warehouses with an in-process analytical database. The platform also facilitates real-time impact analysis, provides precise lineage, and offers support for Jinja macros, templates, and SQL variables. SDF is free to use with pricing plans for support and the SDF Cloud according to needs.

SDF emphasizes values like moral integrity, customer focus, simplicity, having a big vision, fulfillment in work, and quick problem recognition with a fail-fast approach. The platform offers different subscription plans tailored for developers, advanced developers, development teams, and enterprises, providing features like lineage and impact analysis, connectors, integrations, and unlimited compile, test, and runs.

Who created SDF Labs?

SDF was founded by a team of PhD engineers and startup product experts with backgrounds at tech giants like Meta/Facebook, Google, and Microsoft. This team brings deep expertise in cutting-edge programming language development and a passion for innovation. The company's values include moral integrity, customer focus, simplicity, having a big vision, and enjoying the work being done.

What is SDF Labs used for?

• Prevent breaking changes from entering production through real-time impact analysis
• Develop faster with timely error reporting and isolated environments
• Gain precise column-level lineage for full warehouse transparency
• Integrate business logic into code through intelligent metadata and out-of-the-box guardrails
• Build your own data warehouses with an in-process analytical database

Who is SDF Labs for?

• Data professionals
• Data engineers
• Developers
• Development teams
• Businesses
• Students

How to use SDF Labs?

To use the SDF tool effectively, follow these steps:

1. Understanding SDF's Capabilities

   • SDF helps prevent breaking changes in production, offers timely error reporting, provides column-level lineage, integrates business logic, and facilitates building data warehouses.

2. Getting Started with SDF

   • The CLI is free to use, while support and SDF Cloud services are available through pricing plans.

3. Integration with Jinja

   • SDF fully supports Jinja Macros, Templates, and SQL Variables, enhancing its functionality.

4. Exploring Pricing Plans

   • SDF offers different subscription plans like Personal, Plus, Professional, and Enterprise tailored for various user needs.

5. Utilizing SDF Features

   • Leverage Code Checks to detect and resolve code patterns, ensuring data privacy, quality, and governance.
   • Benefit from SDF's cloud-native environment with features like data catalog, semantic search, interactive data-map, and powerful reports for comprehensive data management.

6. Enhancing Data Development Practice

   • SDF provides in-depth static analysis of SQL code, supports custom compile-time checks, and ensures proactive error prevention through CI/CD-friendly compile-time analysis.

By following these steps, users can harness the full potential of SDF for SQL development, data privacy, quality, and effective data governance.