Software Alternatives, Accelerators & Startups
Register | Login

Dataiku VS Halo

Compare Dataiku VS Halo and see what are their differences

Agiliron
Omni-Channel SaaS Solution Suite for Retail, Wholesale & eCommerce businesses featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Dataiku logo Dataiku

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

Halo logo Halo

Halo is a supply chain analytics and business intelligence software solution.
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • Halo Landing page
    Landing page //
    2023-09-21

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

Halo

Website
halobi.com
Pricing URL
-
Release Date
-
Edit details

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

Halo videos

+ Add

Halo Combat Evolved: A Place for EVERYTHING

More videos:

  • Review - Halo: The Master Chief Collection Review (2019)
  • Review - Is Halo: Combat Evolved A Masterpiece?!

Category Popularity

0-100% (relative to Dataiku and Halo)

Dataiku

Halo

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
ERP
0 0%
ERP
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using Dataiku and Halo. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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

Halo Reviews

We have no reviews of Halo yet.
Be the first one to post

What are some alternatives?

When comparing Dataiku and Halo, you can also consider the following products

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

Board - Unified BI, CPM and predictive analytics software.

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

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

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

Katana MRP - Katana Cloud Inventory gives you a live look at all the moving parts of your business — sales, inventory, and beyond. Combining a visual interface and smart real-time master planner, Katana makes managing inventory and manufacturing intuitive.

Loading...