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Dataform

Stacks291

Followers53

+ 1

Votes0

SQLFlow

Stacks4

Followers22

+ 1

Votes0

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Dataform vs SQLFlow: What are the differences?

Dataform: A framework for managing SQL based data operations *. It 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; *SQLFlow:** Extend SQL to support AI. 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.

Dataform and SQLFlow can be categorized as "Database" tools.

Dataform and SQLFlow are both open source tools. It seems that SQLFlow with 2.93K GitHub stars and 431 forks on GitHub has more adoption than Dataform with 77 GitHub stars and 7 GitHub forks.

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What is Dataform?

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.

What is SQLFlow?

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.

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What companies use Dataform?

What companies use SQLFlow?

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What are some alternatives to Dataform and SQLFlow?

dbt

dbt is a transformation workflow that lets teams deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.

Slick

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.

NumPy

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

Pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

Tableau

Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

See all alternatives

Dataform vs SQLFlow

Need advice about which tool to choose?Ask the StackShare community!

What is Dataform?

What is SQLFlow?

Need advice about which tool to choose?Ask the StackShare community!

What companies use Dataform?

What companies use SQLFlow?

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Dataform?

What tools integrate with SQLFlow?

Sign up to get full access to all the tool integrationsMake informed product decisions

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