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Dataiku VS Composable Analytics

Compare Dataiku VS Composable Analytics 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.

Composable Analytics logo Composable Analytics

Composable Analytics is an enterprise-grade analytics ecosystem built for business users that want to architect data intelligence solutions that leverage disparate data sources and event data.
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • Composable Analytics Landing page
    Landing page //
    2022-04-06

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

Composable Analytics

Website
composable.ai
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

Composable Analytics videos

+ Add

World's #1st Data-Centric AIOps Platform | Composable Analytics for AIOps & Observability

Category Popularity

0-100% (relative to Dataiku and Composable Analytics)

Dataiku

Composable Analytics

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Development
0 0%
Development
100% 100

User comments

Share your experience with using Dataiku and Composable Analytics. For example, how are they different and which one is better?
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Reviews

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

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

Composable Analytics Reviews

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

Social recommendations and mentions

Based on our record, Composable Analytics seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Dataiku mentions (0)

We have not tracked any mentions of Dataiku yet. Tracking of Dataiku recommendations started around Mar 2021.

Composable Analytics mentions (1)

  • Ask HN: Who is hiring? (August 2021)
    - Front-End UI Developers passionate about creating well-architected user interfaces and fluent in current best practices for responsive and accessible design. - Junior and Senior level Software Engineers that have the ability to work across all layers of the application, from back-end databases to the UI. - Data engineers and data scientists knowledgeable in developing and training data models and building... - Source: Hacker News / almost 3 years ago

What are some alternatives?

When comparing Dataiku and Composable Analytics, 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.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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

IBM ILOG CPLEX Optimization Studio - IBM ILOG CPLEX Optimization Studio is an easy-to-use, affordable data analytics solution for businesses of all sizes who want to optimize their operations.

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

Amadea - Amadea is the leading integrated Data Science platform, empowering data analysts and data scientists to discover the insights that drive business success.

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