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Alteryx VS Dataiku

Compare Alteryx VS Dataiku and see what are their differences

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  3. » Reviews
  4. » Alternatives

Alteryx logo Alteryx

Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • Alteryx Landing page
    Landing page //
    2023-07-15
  • Dataiku Landing page
    Landing page //
    2023-08-17

Alteryx videos

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Why Alteryx?

More videos:

  • Review - Alteryx: The best analytics program in 2018?
  • Tutorial - Alteryx vs Excel | Alteryx Excel | Alteryx Tutorial | Alteryx for Beginners

Dataiku videos

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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 Alteryx and Dataiku)

Alteryx

Dataiku

Data Dashboard
87 87%
Data Dashboard
13% 13
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Business Intelligence
100 100%
Business Intelligence
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 Alteryx and Dataiku

Alteryx Reviews

Top 5 AWS Glue Alternatives: Best ETL Tools
Alteryx provides its own proprietary format, i.e., data that is ordered and stored according to a particular encoding scheme designed by the company, which is not disclosed. Hence, exporting your results to a different visualization program like Tableau or Microsoft Excel is not possible.
Source: hevodata.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Alteryx offers data science and machine learning functionality via a suite of software products. Headlined by Alteryx Designer which automates data preparation, data blending, reporting, predictive analytics, and data science, the self-service platform touts more than 260 drag-and-drop building blocks. Alteryx lets users see variable relationships and...
Source: solutionsreview.com

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 Alteryx and Dataiku, you can also consider the following products

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.

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

QlikSense - A business discovery platform that delivers self-service business intelligence capabilities

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

Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.

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

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