Software Alternatives, Accelerators & Startups
Register | Login

Dataiku VS PrediCX

Compare Dataiku VS PrediCX and see what are their differences

LibHunt
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

Dataiku logo Dataiku

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

PrediCX logo PrediCX

Machine learning labelling engine
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • PrediCX Landing page
    Landing page //
    2022-06-12

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

PrediCX

Website
predix.io
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

PrediCX videos

+ Add

A Short Demonstration of PrediCX

More videos:

  • Review - PrediCX™ Text Analytics Animated Overview
  • Demo - Full Demonstration of PrediCX

Category Popularity

0-100% (relative to Dataiku and PrediCX)

Dataiku

PrediCX

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
NLP And Text Analytics
0 0%
NLP And Text Analytics
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 PrediCX. 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 PrediCX

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

PrediCX Reviews

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

What are some alternatives?

When comparing Dataiku and PrediCX, 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.

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

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

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...

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

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Loading...