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TetraScience VS Dataiku

Compare TetraScience VS Dataiku and see what are their differences

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LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

TetraScience logo TetraScience

TetraScience is an R&D data cloud platform that enables scientists to collect, store, analyze, and share data around the world.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • TetraScience Landing page
    Landing page //
    2023-09-18
  • Dataiku Landing page
    Landing page //
    2023-08-17

TetraScience

Website
tetrascience.com
Pricing URL
-
Release Date
2014 January
Startup details
Country
United States
State
Massachusetts
City
Boston
Founder(s)
Alok Tayi
Employees
50 - 99
Edit details

Dataiku

Website
dataiku.com
Pricing URL
Official Dataiku Pricing
Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clément Stenac
Employees
500 - 999
Edit details

TetraScience videos

No TetraScience videos yet. You could help us improve this page by suggesting one.

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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 TetraScience and Dataiku)

TetraScience

Dataiku

Business & Commerce
100 100%
Business & Commerce
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Development
100 100%
Development
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Reviews

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

TetraScience Reviews

We have no reviews of TetraScience yet.
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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 TetraScience and Dataiku, you can also consider the following products

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.

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

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.

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

RapidMiner Studio - Visual workflow designer for predictive analytics that brings data science and machine learning to everyone on the analytics team

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

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