dbt

80
76
+ 1
0
Knex.js

118
230
+ 1
32
Add tool

dbt vs Knex.js: What are the differences?

Developers describe dbt as "A command line tool that enables data analysts and engineers to transform data in their warehouse more effectively". dbt - Documentation. On the other hand, Knex.js is detailed as "SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle". Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

dbt and Knex.js belong to "Database Tools" category of the tech stack.

Knex.js is an open source tool with 9.91K GitHub stars and 1.24K GitHub forks. Here's a link to Knex.js's open source repository on GitHub.

Decision6, Zube, and Habx are some of the popular companies that use Knex.js, whereas dbt is used by nurx, Trussle, and Flux Work. Knex.js has a broader approval, being mentioned in 10 company stacks & 9 developers stacks; compared to dbt, which is listed in 3 company stacks and 4 developer stacks.

Pros of dbt
Pros of Knex.js
    No pros available

    Sign up to add or upvote prosMake informed product decisions

    Sign up to add or upvote consMake informed product decisions

    - No public GitHub repository available -

    What is dbt?

    dbt - Documentation

    What is Knex.js?

    Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.
    What companies use dbt?
    What companies use Knex.js?

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

    What tools integrate with dbt?
    What tools integrate with Knex.js?
      No integrations found

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

      What are some alternatives to dbt and Knex.js?
      act
      Rather than having to commit/push every time you want test out the changes you are making to your .github/workflows/ files (or for any changes to embedded GitHub actions), you can use this tool to run the actions locally. The environment variables and filesystem are all configured to match what GitHub provides.
      Airflow
      Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
      Looker
      We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way.
      Apache Spark
      Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
      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.
      See all alternatives
      Interest over time