SDF
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About
SDF is a developer platform for data that scales SQL understanding across an organization, empowering all data teams to unlock the full potential of their data. It's a multi-dialect SQL compiler, transformation framework, and analytical database engine, all in one CLI. Unlike DBT, SDF executes SQL locally, providing static analysis and ensuring validity. It offers features like static analysis for faster debugging, user-defined types to prevent errors, a built-in analytical database, data quality and governance tools, and seamless integration with existing workflows. It's open-core, powered by Apache DataFusion, with open-source Github libraries. SDF aims to improve the lives of data engineers and analysts by providing a faster, more secure, and more efficient way to work with data.
Platform
Features
• open core with an open source ecosystem
• working with data has never been so easy
• secure your development workflows with data quality and governance
• an analytical database built in
• leave varchars behind with sdf types
• debug 20x faster with static analysis
FAQs
What is SDF?
SDF is a multi-dialect SQL compiler, transformation framework, and analytical database engine packaged into a single CLI. Unlike other data transformation tools like DBT, SDF extracts SQL compilers from their clouds, understanding proprietary dialects of SQL (like Snowflake) so deeply that it can ultimately execute them. When working locally, SDF is both the Database, and Transformation layer, ensuring validity. Regardless of which Database you work with - at any point, the entirety of the Data Warehouse defined in your workspace is fully defined and statically analyzed as code. This makes SDF more like the build system for TypeScript or Rust than a traditional data development tool.
What is SDF used for?
The best data professionals unlock the full potential of their organization’s data through deep SQL understanding. SDF scales that SQL understanding across an organization. Your data team can use SDF to: 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
How do I get started with SDF?
Follow our 5-min introduction to SDF with our Getting Started guide - Learn how SDF can help your data organization through our tutorials series - Check out our how-to guides for advanced setup and features deep dives
How much does SDF cost?
The CLI is free to use. Support and the SDF Cloud are priced according to our Pricing Plans
Does SDF work with my Jinja?
Absolutely! SDF fully supports Jinja Macros, Templates, and SQL Variables. Dive deeper into these capabilities in our Macro Processing Overview document.
Pricing Plans
Team
$0.16 / per vCPU min• SDF CLI Engine
• Column-Level Lineage
• Model Materialization
• All connectors & integrations
• Code Contracts & Tests
• Local Execution
• beta
• Unlimited compile, test, & runs
Developer
Free Plan• SDF CLI Engine
• Column-Level Lineage
• Model Materialization
• All connectors & integrations
• Code Contracts & Tests
• Local Execution
Enterprise
Unknown Price• Everything in Team
• SSO Integrations
• Enterprise-grade Reliability & SLAs
• Prioritized Feature Development
• Direct Slack Connect Support
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
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