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SAS Advanced Analytics VS Tibco Data Science

Compare SAS Advanced Analytics VS Tibco Data Science and see what are their differences

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

SAS Advanced Analytics logo SAS Advanced Analytics

SAS Advanced Analytics product suite covers data mining, statistical analysis, forecasting, text analytics, optimization and simulation.

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...
  • SAS Advanced Analytics Landing page
    Landing page //
    2023-02-05
  • Tibco Data Science Landing page
    Landing page //
    2022-10-04

SAS Advanced Analytics features and specs

  • Comprehensive Suite
    SAS Viya offers a wide range of advanced analytics tools, from data management and visualization to machine learning and artificial intelligence, providing a one-stop solution.
  • Scalability
    The platform is designed to scale efficiently, handling large volumes of data and complex analytical processes, suitable for big organizations.
  • Integration Capabilities
    SAS Viya integrates well with various data sources and existing IT infrastructures, making it easy to include in diverse technical environments.
  • Strong Support and Resources
    SAS provides extensive documentation, user communities, and customer support, which can be invaluable for troubleshooting and learning.
  • Advanced Security Features
    The platform includes robust security measures, ensuring that sensitive data is protected throughout analytics processes.

Possible disadvantages of SAS Advanced Analytics

  • Cost
    SAS Viya can be expensive, particularly for smaller businesses or startups, due to its premium pricing model.
  • Complexity
    The comprehensive nature of the software can lead to a steep learning curve for new users who are not familiar with SAS products.
  • Resource Intensive
    SAS Viya may require significant computational resources, which might necessitate additional investment in hardware or cloud services.
  • Customization Limitations
    While offering extensive features, customization options might be limited compared to open-source alternatives, which can impact flexibility.
  • Dependency on SAS Knowledge
    Effective use of the platform often requires skilled personnel with specific knowledge in SAS programming and analytics, which can be challenging to recruit.

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.

Analysis of SAS Advanced Analytics

Overall verdict

  • SAS Advanced Analytics is highly regarded as a powerful and reliable analytics platform, particularly for complex and large-scale data analysis.

Why this product is good

  • SAS Advanced Analytics is considered good due to its comprehensive suite of tools that offer capabilities for predictive modeling, machine learning, data mining, and text analytics. The software is robust and scalable, handling large data sets effectively, and is backed by extensive support and training resources. It integrates well with other SAS products, providing a seamless analytics experience. Additionally, SAS has a strong reputation in the industry for reliability and is used by many large organizations.

Recommended for

    SAS Advanced Analytics is recommended for large enterprises, financial institutions, healthcare organizations, and any business sectors that require comprehensive and robust analytics solutions for data-driven decision-making. It is ideal for organizations with complex analytics needs that benefit from a scalable and integrated analytics environment.

Analysis of Tibco Data Science

Overall verdict

  • TIBCO Data Science on Spotfire is generally considered a strong choice for organizations seeking a powerful and flexible data analytics solution. Its strengths lie in its comprehensive feature set and integration capabilities, which help users derive actionable insights from their data. However, the complexity of the platform may require a learning curve, which should be considered when choosing this tool.

Why this product is good

  • TIBCO Data Science, part of the Spotfire platform, is known for its robust data analytics capabilities and integration features. It provides a comprehensive suite of tools for data visualization, predictive analytics, and machine learning, making it suitable for users who need to handle complex data operations. It also supports collaboration, allowing multiple users to work on data projects simultaneously. The platform's ability to integrate with various data sources and its customization potential make it a versatile tool for data-driven decision-making.

Recommended for

    TIBCO Data Science is recommended for data scientists, analysts, and business users in medium to large organizations who need an advanced analytics platform. It is particularly beneficial for industries that require detailed data analysis and visualization, such as finance, healthcare, manufacturing, and telecommunications. It is suitable for teams that need collaborative features and organizations that deal with large volumes of data from diverse sources.

Category Popularity

0-100% (relative to SAS Advanced Analytics and Tibco Data Science)

SAS Advanced Analytics

Tibco Data Science

Data Dashboard
51 51%
Data Dashboard
49% 49
Technical Computing
20 20%
Technical Computing
80% 80
Business Intelligence
100 100%
Business Intelligence
0% 0
Business & Commerce
23 23%
Business & Commerce
77% 77

User comments

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Reviews

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

SAS Advanced Analytics Reviews

Top 7 Predictive Analytics Tools
SAS Advanced Analytics does not have pricing on their website. They have contact sheets in case a company needs to request demos, free trials, and price quotes.
Source: www.datamation.com

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 SAS Advanced Analytics and Tibco Data Science, 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.

Board - Unified BI, CPM and predictive analytics software.

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

Tableau Server - Tableau Server is a business intelligence application that provides browser-based analytics anyone can learn and use.

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

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

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