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?
It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.
With DB you can very easily save, restore, and archive snapshots of your database from the command line. It supports connecting to different database servers (for example a local development server and a staging or production server) and allows you to load a database dump from one environment into another environment.
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.