Home
Application and Data
Libraries
Data Science Tools

AWS Data Wrangler vs Orchest

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

AWS Data Wrangler
5
28
+ 1
0
Orchest
1
12
+ 1
0
Add tool

Orchest vs AWS Data Wrangler: What are the differences?

Developers describe Orchest as "An open source tool for creating data science pipelines". It is a web-based data science tool that works on top of your filesystem allowing you to use your editor of choice. With Orchest you get to focus on visually building and iterating on your pipeline ideas. Under the hood Orchest runs a collection of containers to provide a scalable platform that can run on your laptop as well as on a large scale cloud cluster. On the other hand, AWS Data Wrangler is detailed as "Move pandas/spark dataframes across AWS services". It is a utility belt to handle data on AWS. It aims to fill a gap between AWS Analytics Services (Glue, Athena, EMR, Redshift) and the most popular Python data libraries (Pandas, Apache Spark).

Orchest and AWS Data Wrangler can be categorized as "Data Science" tools.

AWS Data Wrangler is an open source tool with 992 GitHub stars and 163 GitHub forks. Here's a link to AWS Data Wrangler's open source repository on GitHub.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
- No public GitHub repository available -

What is AWS Data Wrangler?

It is a utility belt to handle data on AWS. It aims to fill a gap between AWS Analytics Services (Glue, Athena, EMR, Redshift) and the most popular Python data libraries (Pandas, Apache Spark).

What is Orchest?

It is a web-based data science tool that works on top of your filesystem allowing you to use your editor of choice. With Orchest you get to focus on visually building and iterating on your pipeline ideas. Under the hood Orchest runs a collection of containers to provide a scalable platform that can run on your laptop as well as on a large scale cloud cluster.

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

Jobs that mention AWS Data Wrangler and Orchest as a desired skillset
Staff Software Engineer, ML Training
Pinterest
San Francisco, CA, US; , CA, US
View Job Details
PatternsInfraDream+12
What companies use AWS Data Wrangler?
What companies use Orchest?
    No companies found
    See which teams inside your own company are using AWS Data Wrangler or Orchest.
    Sign up for StackShare EnterpriseLearn More

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

    What tools integrate with AWS Data Wrangler?
    What tools integrate with Orchest?

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

    What are some alternatives to AWS Data Wrangler and Orchest?
    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.
    SciPy
    Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
    Anaconda
    A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda.
    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.
    See all alternatives

    Related Comparisons

    AWS Data Wrangler vs PandasAWS Data Wrangler vs AnacondaAWS Data Wrangler vs SciPyAWS Data Wrangler vs BrancherAWS Data Wrangler vs NumPy

    Trending Comparisons

    Django vs Laravel vs Node.jsBootstrap vs Foundation vs Material-UINode.js vs Spring BootFlyway vs LiquibaseAWS CodeCommit vs Bitbucket vs GitHub

    Top Comparisons

    Bootstrap vs MaterializeHipChat vs Mattermost vs SlackBitbucket vs GitHub vs GitLabPostman vs Swagger UI