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DataCracker VS Tibco Data Science

Compare DataCracker VS Tibco Data Science and see what are their differences

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

DataCracker logo DataCracker

DataCracker is a new web-based survey analysis tool that makes it easy for anyone to find and share...

Tibco Data Science logo Tibco Data Science

Data science is a team sport. Data scientists, citizen data scientists, business users, and developers need flexible and extensible tools that promote collaboration, automation, and...
  • DataCracker Landing page
    Landing page //
    2023-09-29
  • Tibco Data Science Landing page
    Landing page //
    2022-10-04

DataCracker features and specs

No features have been listed yet.

Tibco Data Science features and specs

  • Scalability
    Tibco Data Science is designed to handle large amounts of data and scale as your needs grow, making it suitable for enterprise-level applications.
  • Integration Capabilities
    The platform integrates seamlessly with other TIBCO products and a wide array of third-party applications, enhancing its utility within diverse business environments.
  • User-Friendly Interface
    It offers a drag-and-drop interface which simplifies data processing and model building, making it accessible even for users with limited coding knowledge.
  • Collaboration Features
    Tibco Data Science allows teams to work together efficiently on projects, with features that support collaboration, version control, and sharing of data models.
  • Real-time Analytics
    The platform supports real-time analytics, useful for applications requiring immediate insights and decision-making.
  • Comprehensive Toolset
    It provides a wide range of tools for data manipulation, machine learning, and statistical analyses, offering a one-stop solution for data scientists.

Possible disadvantages of Tibco Data Science

  • Cost
    The platform can be expensive, particularly for smaller businesses or startups, making it less accessible for organizations with limited budgets.
  • Complexity
    Despite its user-friendly interface, the platform has a steep learning curve due to its extensive features and capabilities, which might overwhelm new users.
  • Resource Intensive
    Tibco Data Science can be resource-intensive, requiring powerful hardware and significant computational resources, which may pose challenges for some organizations.
  • Limited Flexibility
    While it integrates well with other TIBCO products, users sometimes find it less flexible when integrating with non-TIBCO technologies or legacy systems.
  • License Restrictions
    The platform has specific license restrictions and conditions that can limit flexibility in deployment and scaling, potentially complicating its use under certain circumstances.
  • Customer Support
    Users have reported that customer support can be slow at times and may not always provide satisfactory solutions to complex issues.

DataCracker videos

+ Add

DataCracker -- The Best Way to Dig Deep in Your Survey Data Analysis

More videos:

  • Tutorial - DataCracker and SurveyMonkey - Tutorial video

Tibco Data Science videos

No Tibco Data Science videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to DataCracker and Tibco Data Science)

DataCracker

Tibco Data Science

API Tools
100 100%
API Tools
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Data Integration
100 100%
Data Integration
0% 0
Business & Commerce
8 8%
Business & Commerce
92% 92

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare DataCracker and Tibco Data Science

DataCracker Reviews

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Tibco Data Science Reviews

Top 7 Predictive Analytics Tools
TIBCO Data Science/Statistica puts the emphasis on usability, with a lot of collaboration and workflow features built into the tool to make business intelligence possible across an organization. This makes it a good choice for a company if they expect lesser-trained staff will use the tool. It also integrates with a wide range of other analytics tools, making it easy to...
Source: www.datamation.com
15 data science tools to consider using in 2021
The development of SAS started in 1966 at North Carolina State University; use of the technology began to grow in the early 1970s, and SAS Institute was founded in 1976 as an independent company. The software was initially built for use by statisticians -- SAS was short for Statistical Analysis System. But, over time, it was expanded to include a broad set of functionality...
Source: searchbusinessanalytics.techtarget.com
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: TIBCO offers an expansive product portfolio for modern BI, descriptive and predictive analytics, and streaming analytics and data science. TIBCO Data Science lets users do data preparation, model building, deployment and monitoring. It also features AutoML, drag-and-drop workflows, and embedded Jupyter Notebooks for sharing reusable modules. Users can run...
Source: solutionsreview.com

What are some alternatives?

When comparing DataCracker and Tibco Data Science, you can also consider the following products

OfficeReports - Creating charts, tables and other infographics in Excel and PowerPoint has never been easier!

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

Infotools Harmoni - Cloud-based market research analysis and data visualization

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

REPODS - REPODS is an online data warehouse service for managing & analyzing data histories in data pods.

Alteryx - Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

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