Software Alternatives & Reviews

Domo VS Dataiku

Compare Domo VS Dataiku and see what are their differences

Domo logo Domo

Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • Domo Landing page
    Landing page //
    2023-10-08
  • Dataiku Landing page
    Landing page //
    2023-08-17

Domo videos

Domo Overview

More videos:

  • Review - Domo Customer Review: National Geographic
  • Review - Domo Customer Review: La-Z-Boy

Dataiku videos

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 Domo and Dataiku)
Data Dashboard
90 90%
10% 10
Data Science And Machine Learning
Business Intelligence
100 100%
0% 0
Data Science Tools
0 0%
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 Domo and Dataiku

Domo Reviews

25 Best Statistical Analysis Software
Intuitive interface: Domo offers an easy-to-use interface that allows users to quickly navigate and interact with their data, making it suitable for users with varying levels of technical expertise.
Funnel.io Alternatives and Competitors in 2022
Domo is software that specializes in data visualization and business intelligence. Here you can find more information about Domo alternatives and competitors.
Source: improvado.io
The Top 14 Marketing Analytics Tools For Every Business
The Domo platform is best for C-level executives working at enterprise companies who are looking for a non-marketing specific BI tool to be used company-wide, one that can create executive level dashboards. Domo is not focused specifically on data from marketing efforts. It is used for more general business data. This means that when it comes to company-wide business...
Source: improvado.io
Domo vs Datorama vs Improvado vs Funnel.io vs Supermetrics
"Prior to investing in DOMO ensure that your data sources will allow an outside feed/API. We did find one of our EHRs would not allow this and it requires a manual process for us to feed the data to DOMO. This does not allow real-time data to be reflected in several of our reports."
Source: improvado.io

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.
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....

Social recommendations and mentions

Based on our record, Domo 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.

Domo mentions (1)

  • URL with Login code
    We currently use domo.com and need to display dashboards to screens. Source: almost 2 years ago

Dataiku mentions (0)

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

What are some alternatives?

When comparing Domo 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.

Sisense - The BI & Dashboard Software to handle multiple, large data sets.

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

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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