A bridge that connects a SQL engine, e.g. MySQL, Hive, SparkSQL or SQL Server, with TensorFlow and other machine learning toolkits. Extends the SQL language to enable model training, prediction, and inference.
SQLFlow is a tool in the Databases category of a tech stack.
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What are some alternatives to SQLFlow?
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
MySQL, Oracle, PyTorch, Apache Hive, TensorFlow and 2 more are some of the popular tools that integrate with SQLFlow. Here's a list of all 7 tools that integrate with SQLFlow.