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Advanced Analytics VS Dataiku

Compare Advanced Analytics VS Dataiku and see what are their differences

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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:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Advanced Analytics logo Advanced Analytics

In a nutshell, advanced analytics represents a collection of techniques used to model internal and external data to yield valuable insights that can drive business-improving actions.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • Advanced Analytics Landing page
    Landing page //
    2022-04-30
  • Dataiku Landing page
    Landing page //
    2023-08-17

Advanced Analytics

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

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

Advanced Analytics videos

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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 Advanced Analytics and Dataiku)

Advanced Analytics

Dataiku

Technical Computing
100 100%
Technical Computing
0% 0
Data Science And Machine Learning
1 1%
Data Science And Machine Learning
99% 99
Data Dashboard
100 100%
Data Dashboard
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 Advanced Analytics and Dataiku

Advanced Analytics Reviews

We have no reviews of Advanced Analytics yet.
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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 Advanced Analytics and Dataiku, you can also consider the following products

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

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

SAP BusinessObjects Predictive Analytics - SAP Predictive Analytics software allows the user to create better and faster predictive results, deliver machine learning at scale using a factory approach and bring predictive insights where people interact _ in business processes and applications.

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

IBM SPSS Modeler - IBM SPSS Modeler provides predictive analytics to help you uncover data patterns, gain predictive accuracy and improve decision making.

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

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