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IBM Watson Studio VS Dataiku

Compare IBM Watson Studio VS Dataiku and see what are their differences

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IBM Watson Studio logo IBM Watson Studio

Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • IBM Watson Studio Landing page
    Landing page //
    2023-10-05
  • Dataiku Landing page
    Landing page //
    2023-08-17

IBM Watson Studio videos

+ Add

Product Review: IBM Watson Studio AutoAI

More videos:

  • Review - Overview of IBM Watson Studio
  • Review - Configuring IBM Watson Studio (Free) with 2.3 (coursera), April 30th '19 Release

Dataiku videos

+ Add

AutoML with Dataiku: And End-to-End Demo

More videos:

  • Review - Dataiku: For Everyone in the Data-Powered Organization
  • Tutorial - Dataiku DSS Tutorial 101: Your very first steps

Category Popularity

0-100% (relative to IBM Watson Studio and Dataiku)

IBM Watson Studio

Dataiku

Data Science And Machine Learning
26 26%
Data Science And Machine Learning
74% 74
AI
100 100%
AI
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100
Machine Learning
100 100%
Machine Learning
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare IBM Watson Studio and Dataiku

IBM Watson Studio Reviews

The 16 Best Data Science and Machine Learning Platforms for 2021
Description: IBM Watson Studio enables users to build, run, and manage AI models at scale across any cloud. The product is a part of IBM Cloud Pak for Data, the company’s main data and AI platform. The solution lets you automate AI lifecycle management, govern and secure open-source notebooks, prepare and build models visually, deploy and run models through one-click...
Source: solutionsreview.com

Dataiku Reviews

15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.
Source: searchbusinessanalytics.techtarget.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The company’s flagship product features a team-based user interface for both data analysts and data scientists. Dataiku’s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....
Source: solutionsreview.com

What are some alternatives?

When comparing IBM Watson Studio and Dataiku, you can also consider the following products

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Pega Platform - The best-in-class, rapid no-code Pega Platform is unified for building BPM, CRM, case management, and real-time decisioning apps.

NumPy - NumPy is the fundamental package for scientific computing with Python

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