Streamline SQL data management with type systems, governance, and multi-dialect support
Type system for error-free SQL transformations
Integrated governance and data quality checks
Supports multi-dialect databases and scalable execution
Pricing:
Sdf is a SQL engine and data transformation tool designed to streamline data development by incorporating software engineering principles. It validates business logic, executes queries, and enforces policies using a type system and static analysis. The platform integrates data quality, governance, and supports multi-dialect databases, providing a comprehensive solution for efficient and secure data management.
- Type System for SQL: Introduces user-defined types to prevent logic errors and validate code, leaving traditional VARCHARs behind.
- Debugging with Static Analysis: Identifies errors in SQL models without cloud execution, catching dependency errors before production.
- Built-in Analytical Database: Features context-aware execution powered by Apache DataFusion, running seamlessly on both local machines and in the cloud.
- Data Quality and Governance: Integrates data tests, governance reports, quality checks, and table statistics directly within CI/CD workflows.
- Easy Local Execution: Lightweight Rust binary allows immediate local execution of the SDF Engine, boasting the speed of a compiler with built-in caching and multi-threaded execution.
- Column-Level Lineage: Offers detailed column-level lineage information directly from the command line.
- Composable Data Stack: Integrates with various cloud compute providers, storage formats, and orchestrators to power the composable data stack.
- Open Source Support: Provides free SDF accounts to eligible non-commercial open source software initiatives, supporting the open source community.
- Proactive Quality & Governance: Facilitates the management of reports, contracts, and impact analysis, reinforcing data security and best practices.
- Developer-Friendly: Enhances SQL development cycles and ensures compliance, making it easier and safer to manage data infrastructures.
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Sdf
Streamline SQL data management with type systems, governance, and multi-dialect support
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