SQLFlow
A compiler that extends SQL with AI capabilities to train, predict, and evaluate machine learning models directly from SQL statements.
What is SQLFlow?
SQLFlow is a compiler that extends SQL with machine learning capabilities, allowing users to train, predict, evaluate, and explain AI models directly from SQL statements. It solves the fragmentation between data processing and AI development by enabling SQL-skilled engineers to build ML applications without switching to languages like Python or R.
Data engineers, data scientists, business analysts, and developers who use SQL for data management and want to integrate machine learning workflows without learning new programming languages.
Developers choose SQLFlow for its ability to unify SQL and AI in a single, extensible framework that supports multiple databases and ML toolkits, simplifying the ML lifecycle and reducing engineering overhead compared to proprietary SQL engines or disjointed toolchains.
Overview
Brings SQL and AI together.
Use Cases
Best For
- Training deep learning models like DNNClassifiers directly from SQL queries
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