Software Alternatives, Accelerators & Startups

SAS Model Manager VS InetSoft Style

Compare SAS Model Manager VS InetSoft Style and see what are their differences

SAS Model Manager logo SAS Model Manager

SAS Model Manager is a proven, reliable solution for the Analysis Services platform that enables you to integrate multiple environments, tools, and applications using open REST APIs.

InetSoft Style logo InetSoft Style

Looking for Business Intelligence Software? Evaluate InetSoft's easy and agile business analytics software for visual analyses and published reports.
  • SAS Model Manager Landing page
    Landing page //
    2023-10-05
  • InetSoft Style Landing page
    Landing page //
    2022-05-10

SAS Model Manager features and specs

  • Comprehensive Model Management
    SAS Model Manager provides a robust environment for managing the entire model lifecycle, including building, deploying, monitoring, and retraining models. It helps ensure models remain accurate and relevant over time.
  • Seamless Integration
    The tool integrates well with the broader SAS ecosystem and can handle models developed using various languages and tools like Python and R, allowing for flexibility in model development.
  • Advanced Monitoring and Reporting
    SAS Model Manager offers advanced capabilities for monitoring model performance and creating detailed reports, which can help in ensuring transparency and compliance with regulations.
  • Scalability
    Designed to handle enterprise-level data and models, the software can scale to meet the demands of large organizations, allowing for the management of numerous models across various domains.
  • Automated Workflow
    The software supports automation of repetitive tasks, facilitating streamlined workflows and reducing manual intervention, which can lead to increased efficiency.

Possible disadvantages of SAS Model Manager

  • Cost
    The pricing of SAS Model Manager can be high, especially for smaller organizations or startups, posing a financial barrier to access for some users.
  • Complexity
    Given its comprehensive features, the platform can be complex to set up and use, requiring users to have a certain level of expertise or training to fully leverage its capabilities.
  • Dependency on SAS Environment
    While integration with the SAS ecosystem is a strength, it also means reliance on SAS-specific environments and systems, which may not be ideal for organizations using a diverse array of tools.
  • Limited Open-Source Support
    Compared to open-source alternatives, SAS Model Manager might offer less flexibility in terms of customization and adapting to unique, non-standard use cases.
  • User Interface
    Some users might find the user interface less intuitive compared to more modern or specialized model management tools, possibly impacting user experience.

InetSoft Style features and specs

  • Scalability
    InetSoft Style Intelligence can handle large volumes of data, making it suitable for enterprises with extensive data needs.
  • Integrations
    The tool integrates well with a wide variety of data sources, including databases, web services, and other enterprise systems.
  • Customizability
    It offers a high degree of customization, allowing users to tailor dashboards and reports to specific requirements.
  • User-Friendly Interface
    InetSoft provides a user-friendly interface with drag-and-drop capabilities, making it accessible for both technical and non-technical users.
  • Real-Time Data Analytics
    The platform supports real-time data analytics, enabling users to get up-to-date insights.
  • Mobile Accessibility
    Reports and dashboards can be accessed via mobile devices, making it easy to stay informed while on the go.

Possible disadvantages of InetSoft Style

  • Cost
    The tool can be expensive, particularly for small businesses or startups with limited budgets.
  • Learning Curve
    Despite its user-friendly interface, there is still a learning curve involved, especially for users who are new to BI tools.
  • Customization Complexity
    While customizable, some advanced customizations may require technical skills, which could necessitate additional training or support.
  • Performance
    In some cases, performance can be an issue when handling extremely large datasets or running complex queries.
  • Support
    Users have occasionally reported that customer support can be slow or less responsive than desired.
  • Deployment
    On-premise deployment can be complex and time-consuming, potentially requiring significant IT resources.

Analysis of InetSoft Style

Overall verdict

  • InetSoft Style Intelligence is a solid choice for businesses looking for a flexible and powerful BI tool. Its comprehensive features and user-friendly interface make it suitable for organizations of various sizes seeking to leverage data for insightful decision-making. While it may not have the market dominance of some larger BI platforms, it holds its own with strong functionality and adaptable solutions.

Why this product is good

  • InetSoft Style Intelligence is known for its ease of use, robust data integration capabilities, and flexible reporting options. It provides end-users with powerful tools for creating dashboards and visualizations without extensive technical expertise. It supports a wide range of data sources and offers real-time analytics and interactive data exploration. The platform is also appreciated for its scalability and customizable solutions tailored to business needs.

Recommended for

    Small to medium-sized enterprises (SMEs) and large organizations with the need for customizable and scalable Business Intelligence solutions. It is particularly useful for companies seeking to empower their data-driven decision-making processes through interactive reports and dashboards. It is also ideal for users who require the integration of multiple data sources and who value ease of deployment and an intuitive user experience.

SAS Model Manager videos

Open-Source Model Management with SAS Model Manager

InetSoft Style videos

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Category Popularity

0-100% (relative to SAS Model Manager and InetSoft Style)
Business & Commerce
70 70%
30% 30
Data Dashboard
72 72%
28% 28
Personalization
74 74%
26% 26
Development
65 65%
35% 35

User comments

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What are some alternatives?

When comparing SAS Model Manager and InetSoft Style, you can also consider the following products

MLOps - MLOps is a software platform that enables companies to manage AI production.

Xyonix - Xyonix is an AI Consulting and Data Science Solution that brings AI, Machine Learning, and Deep Learning to businesses by providing Software Engineering and Advisory services.

Domino Data Lab - Domino is a data science platform that enables collaborative and reusable analysis of data.

Robust Intelligence - Robust intelligence is stress and failure testing solution for AI models.

Digital.ai - Digital.ai is an intelligent value stream management software platform for digital enterprises and application delivery teams.

Nexla - Nexla provides data operations automation platform for ETL, FTP, data preparation and data wrangling.