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SAS VS Domino Data Lab

Compare SAS VS Domino Data Lab and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

SAS logo SAS

With SAS you are part of a community experiencing easy, joyful and reliable services delivered the Scandinavian way

Domino Data Lab logo Domino Data Lab

Domino is a data science platform that enables collaborative and reusable analysis of data.
  • SAS Landing page
    Landing page //
    2020-01-31
  • Domino Data Lab Landing page
    Landing page //
    2023-09-13

SAS videos

+ Add

SAS Soldier Breaks Down 11 Military Scenes | How Real Is It?

More videos:

  • Review - SAS Scandinavian Airlines A350 Business Class - Chicago to Copenhagen
  • Review - NEW! SIG P365 SAS Review: How Does it Stack Up?

Domino Data Lab videos

+ Add

TRYING DOMINO'S NO PIZZA MENU! - Chicken Wings, Pasta, & MORE Restaurant Taste Test!

More videos:

  • Review - Domino (2005) Rant aka Movie Review
  • Review - Festool Domino Joiner DF 500 Q Review - 574432

Category Popularity

0-100% (relative to SAS and Domino Data Lab)

SAS

Domino Data Lab

Data Integration
100 100%
Data Integration
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100
Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Data Dashboard
27 27%
Data Dashboard
73% 73

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare SAS and Domino Data Lab

SAS Reviews

15 data science tools to consider using in 2021
SAS is an integrated software suite for statistical analysis, advanced analytics, BI and data management. Developed and sold by software vendor SAS Institute Inc., the platform enables users to integrate, cleanse, prepare and manipulate data, and then they can analyze it using different statistical and data science techniques. SAS can be used for various tasks, from basic BI...
Source: searchbusinessanalytics.techtarget.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: SAS offers a suite of advanced analytics and data science products which is headlined by SASVisual Data Mining and Machine Learning. The product provides access to data in any format and from any source, as well as automated data preparation and data lineage and model management. SAS Visual Data Mining and Machine Learning automatically generates insights for...
Source: solutionsreview.com

Domino Data Lab Reviews

The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Domino Data Lab offers an enterprise data science platform that allows data scientists to build and run predictive models. The product helps organizations with the development and delivery of these models via infrastructure automation and collaboration. Domino provides users access to a data science Workbench that provides open source and commercial tools for...
Source: solutionsreview.com

What are some alternatives?

When comparing SAS and Domino Data Lab, you can also consider the following products

Alteryx - Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

IBM ILOG CPLEX Optimization Studio - IBM ILOG CPLEX Optimization Studio is an easy-to-use, affordable data analytics solution for businesses of all sizes who want to optimize their operations.

MarkovML - Simply Drag, drop, and launch AI-powered workflows and applications to unlock your data's full potential.

Composable Analytics - Composable Analytics is an enterprise-grade analytics ecosystem built for business users that want to architect data intelligence solutions that leverage disparate data sources and event data.

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