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Dataiku VS StorifyMe

Compare Dataiku VS StorifyMe and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.

StorifyMe logo StorifyMe

Create amazing web story experiences and engage your audience outside of social media
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • StorifyMe Landing page
    Landing page //
    2022-12-04

StorifyMe is a platform that allows you to create interactive, visual content, known as stories, that can be used on any website or mobile app.

With StorifyMe, you can share your message in a compelling way on the channel that best suits your needs. Whether it's enhancing your SEO with Google Stories, onboarding new users with in-app stories, exciting your buyers with new products, or creating a highly-converting marketing landing page.

The solution is ideal for marketing teams looking to boost user retention, sales teams wanting to stay connected with leads, eCommerce brands seeking to increase sales and customer loyalty, and publishers looking to boost reading time and organic traffic.

Dataiku

Website
dataiku.com
Pricing URL
Official Dataiku Pricing
$ Details
-
Platforms
-
Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clรฉment Stenac
Employees
500 - 999
Edit details

StorifyMe

Website
storifyme.com
Pricing URL
Official StorifyMe Pricing
$ Details
freemium $99.01 / Monthly
Platforms
Windows Mac OSX Shopify Magento Facebook Facebook Messenger Web Shopify SAP Browser Instagram LinkedIn Google Analytics Adobe Analytics Hotjar Wordpress
Release Date
2020 March
Edit details

Dataiku features and specs

  • User-Friendly Interface
    Dataiku offers an intuitive and easy-to-navigate visual interface that allows users of all technical backgrounds to create, manage, and deploy data projects without needing extensive coding knowledge.
  • Collaborative Environment
    The platform supports collaborative work, enabling data scientists, engineers, and analysts to work together on the same projects seamlessly, sharing insights and models easily.
  • End-to-End Workflow
    Dataiku provides tools that cover the entire data pipeline, from data preparation and cleaning to model building, deployment, and monitoring, making it a comprehensive solution for data teams.
  • Integrations and Extensibility
    The platform integrates with many data storage systems, machine learning libraries, and cloud services, allowing users to leverage existing tools and infrastructure.
  • Automation Capabilities
    Dataiku offers automation features such as scheduling, automation scenarios, and machine learning model monitoring, which can significantly enhance productivity and efficiency.
  • Rich Documentation and Support
    Dataiku provides extensive documentation, tutorials, and a strong support community to help users navigate the platform and troubleshoot issues.

Possible disadvantages of Dataiku

  • Pricing
    Dataiku can be expensive, particularly for small businesses and startups. The cost may be a barrier to entry for organizations with limited budgets.
  • Resource Intensive
    The platform can be resource-hungry, requiring significant computing power, which may necessitate additional investments in hardware or cloud services.
  • Learning Curve for Advanced Features
    Although the basic interface is user-friendly, mastering advanced features and customizations can require a steep learning curve and significant training.
  • Limited Offline Capabilities
    Dataiku relies heavily on cloud services for many of its functionalities. This dependence might be restrictive in environments with limited or no internet access.
  • Custom Model Flexibility
    While Dataiku supports many machine learning frameworks, the process of integrating custom or niche models can be cumbersome compared to using those frameworks directly.
  • Dependency on Ecosystem
    The seamless experience of Dataiku often relies on the broader cloud and data ecosystem. Changes or issues in integrated services can impact its performance and reliability.

StorifyMe features and specs

  • Personalisation
  • SEO friendly pages
  • Engagement Analytics
  • Engaging elements
  • Media library
  • Scheduling
  • Landing Pages
  • Importing
  • Export
  • Branding
  • Team Collaboration
  • Stories list page
  • Fonts & Colors
  • AMP
  • Custom Domain
  • CDN Delivery
  • Audit Log
  • Audit Log for enterprise compliance
  • Analytics and Reporting
  • Analytics dashboards
  • Two-Factor Autentification
  • Custom Integration
  • API Acess
    Requests per minute
  • Support

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

StorifyMe videos

+ Add

Get Started With StorifyMe

Category Popularity

0-100% (relative to Dataiku and StorifyMe)

Dataiku

StorifyMe

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Design Tools
0 0%
Design Tools
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Content Marketing
0 0%
Content Marketing
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 StorifyMe

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 companyโ€™s flagship product features a team-based user interface for both data analysts and data scientists. Dataikuโ€™s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....
Source: solutionsreview.com

StorifyMe Reviews

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

What are some alternatives?

When comparing Dataiku and StorifyMe, 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.

Storyly - Bring superb stories to your app

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

InAppStory - ONE PLATFORM FOR IN-APP COMMUNICATION AND GAMIFICATION

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

WordPress - WordPress is web software you can use to create a beautiful website or blog. We like to say that WordPress is both free and priceless at the same time.

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