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Tibco Data Science VS Domino Data Lab

Compare Tibco Data Science VS Domino Data Lab and see what are their differences

Tibco Data Science logo Tibco Data Science

Data science is a team sport. Data scientists, citizen data scientists, business users, and developers need flexible and extensible tools that promote collaboration, automation, and...

Domino Data Lab logo Domino Data Lab

Domino is a data science platform that enables collaborative and reusable analysis of data.
  • Tibco Data Science Landing page
    Landing page //
    2022-10-04
  • Domino Data Lab Landing page
    Landing page //
    2023-09-13

Tibco Data Science videos

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Domino Data Lab videos

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 Tibco Data Science and Domino Data Lab)
Technical Computing
74 74%
26% 26
Business & Commerce
47 47%
53% 53
Data Dashboard
26 26%
74% 74
Development
43 43%
57% 57

User comments

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Reviews

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

Tibco Data Science Reviews

Top 7 Predictive Analytics Tools
TIBCO Data Science/Statistica puts the emphasis on usability, with a lot of collaboration and workflow features built into the tool to make business intelligence possible across an organization. This makes it a good choice for a company if they expect lesser-trained staff will use the tool. It also integrates with a wide range of other analytics tools, making it easy to...
15 data science tools to consider using in 2021
The development of SAS started in 1966 at North Carolina State University; use of the technology began to grow in the early 1970s, and SAS Institute was founded in 1976 as an independent company. The software was initially built for use by statisticians -- SAS was short for Statistical Analysis System. But, over time, it was expanded to include a broad set of functionality...
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: TIBCO offers an expansive product portfolio for modern BI, descriptive and predictive analytics, and streaming analytics and data science. TIBCO Data Science lets users do data preparation, model building, deployment and monitoring. It also features AutoML, drag-and-drop workflows, and embedded Jupyter Notebooks for sharing reusable modules. Users can run...

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...

What are some alternatives?

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

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

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.

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

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.

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

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.