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Dataiku VS Cradle

Compare Dataiku VS Cradle and see what are their differences

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Contents:
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  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.

Cradle logo Cradle

3SL Cradle is a requirements management and systems engineering software tool.
  • Dataiku Landing page
    Landing page //
    2023-08-17
  • Cradle Landing page
    Landing page //
    2022-06-14

Cradle integrates your entire project lifecycle in one, massively scalable, integrated, multi-user product. Whether your projects are small and local, large and distributed, or anywhere in between, Cradle can solve all your agile, requirements management, model-driven development, defect tracking and test management needs in one place. With its unrivalled feature set, incredible flexibility, simple configuration and low cost, Cradle is the ideal choice if you are new to agile methods, requirements management or systems engineering.

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)
Clément Stenac
Employees
500 - 999
Edit details

Cradle

Website
threesl.com
Pricing URL
Official Cradle Pricing
$ Details
paid Free Trial £299.0 / One-off (Single user RM Desktop product)
Platforms
Linux Windows
Release Date
-
Edit details

Dataiku features and specs

No features have been listed yet.

Cradle features and specs

  • Unlimited project databases: Yes
  • User-defined database schemas: Yes
  • External document data load: Yes
  • Import/export (CSV, XML, ReqIF): Yes
  • User-defined definitions (queries, views, etc): Yes
  • Dashboards and KPIs: Yes
  • Metrics and pivot tables: Yes
  • Graphs: Yes
  • User-defined matrices: Yes
  • User-defined reports: Yes
  • Graphical traceability views: Yes
  • Many to many and cross lifecycle transitive linking: Yes
  • Quality check information: Yes
  • Spellcheck information: Yes
  • Multilingual: Yes
  • Risk Management: Yes
  • Test Execution: Yes

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

Cradle videos

+ Add

3SL and Cradle Trailer

Category Popularity

0-100% (relative to Dataiku and Cradle)

Dataiku

Cradle

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Project Management
0 0%
Project Management
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Requirements Management
0 0%
Requirements Management
100% 100

User comments

Share your experience with using Dataiku and Cradle. 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 Cradle

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

Cradle Reviews

We have no reviews of Cradle yet.
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What are some alternatives?

When comparing Dataiku and Cradle, 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.

ReqView - Simple and powerful requirements management tool enabling easy requirements gathering, traceability tracking and offline collaboration.

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

Jama Connect - The Leader in Requirements Management Solutions

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

Serena Dimensions RM - Serena Dimensions RM is a web application to improve the definition and management of requirements across the product lifecycle.

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