Software Alternatives, Accelerators & Startups

Datazar VS Dataiku

Compare Datazar VS Dataiku and see what are their differences

Datazar logo Datazar

Datazar is an ecosystem to organize, index and uncover the most important asset in science and educated decision making, raw data.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • Datazar Landing page
    Landing page //
    2019-08-24
  • Dataiku Landing page
    Landing page //
    2023-08-17

Dataiku

Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clément Stenac
Employees
500 - 999

Datazar videos

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Dataiku videos

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 Datazar and Dataiku)
Business Intelligence
100 100%
0% 0
Data Science And Machine Learning
Data Dashboard
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

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Datazar Reviews

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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.
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....

What are some alternatives?

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

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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