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Dataiku VS PySpark

Compare Dataiku VS PySpark and see what are their differences

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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.

PySpark logo PySpark

PySpark Tutorial - Apache Spark is written in Scala programming language. To support Python with Spark, Apache Spark community released a tool, PySpark. Using PySpark, you can wor
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • PySpark Landing page
    Landing page //
    2023-08-27

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

PySpark

Website
tutorialspoint.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

PySpark videos

+ Add

Data Wrangling with PySpark for Data Scientists Who Know Pandas - Andrew Ray

More videos:

  • Tutorial - Pyspark Tutorial | Introduction to Apache Spark with Python | PySpark Training | Edureka

Category Popularity

0-100% (relative to Dataiku and PySpark)

Dataiku

PySpark

Data Science And Machine Learning
98 98%
Data Science And Machine Learning
2% 2
No Code
0 0%
No Code
100% 100
Data Science Tools
97 97%
Data Science Tools
3% 3
Project Management
0 0%
Project Management
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 Dataiku and PySpark

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

PySpark Reviews

We have no reviews of PySpark yet.
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What are some alternatives?

When comparing Dataiku and PySpark, 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.

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

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

xlwings - xlwings is a Python library that makes it easy to call Python from Excel and vice versa

OpenCV - OpenCV is the world's biggest computer vision library

PyXLL - PyXLL is an Excel Add-In that enables developers to extend Excel’s capabilities with Python code.

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