Altair Engineering, Inc.

Altair Data Analytics & AI

6.1 /10

What is Altair Data Analytics & AI?

Altair Data Analytics enables organizations worldwide to compete more effectively by operationalizing data analytics and AI with secure, governed, and scalable strategies. We deliver world-class, self-service analytics solutions for data preparation, predictive modeling, stream processing, visualization and more. Our solutions are designed for many different skill sets: from data scientists and engineers to MLOps specialists to business analysts to executives. With a no-code, cloud-ready interface, organizations can harness the full power of analytics and AI throughout its complete data lifecycle, driving next-level business results.

Company Details

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Altair Data Analytics & AI Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Altair Data Analytics & AI.

75 Likeliness to Recommend

1
Since last award

86 Plan to Renew

63 Satisfaction of Cost Relative to Value

1
Since last award

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Emotional Footprint Overview

+65 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Altair Data Analytics & AI?

6% Negative

26% Neutral

68% Positive

Pros

Performance Enhancing
Efficient Service
Acts with Integrity
Includes Product Enhancements

Cons

Leverages Incumbent Status
Commodity Features

Feature Ratings

Average 75

Data Labeling

100

Explainability

100

Openness and Flexibility

100

Data Ingestion

Algorithm Diversity

Model Monitoring and Management

Algorithm Recommendation

Pre-Packaged AI/ML Services

Data Exploration and Visualization

Ensembling

Feature Engineering

Vendor Capability Ratings

Average 68

Business Value Created

Breadth of Features

Quality of Features

Availability and Quality of Training

Ease of Data Integration

Ease of Customization

Vendor Support

Usability and Intuitiveness

Ease of Implementation

Product Strategy and Rate of Improvement

Ease of IT Administration

Altair Data Analytics & AI Reviews

Sashank M.

Role: Information Technology
Industry: Technology
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Jun 2023

Features are perfect and easy to use

Likeliness to Recommend

9 /10

What differentiates Altair Data Analytics & AI from other similar products?

Integrated Platform: Altair Data Analytics & AI offers a unified platform that integrates various data analytics and AI functionalities. Advanced Analytics: The platform provides a wide range of advanced analytics capabilities, such as statistical analysis, predictive modeling, machine learning, and optimization. Automation and Workflow Efficiency: Altair Data Analytics & AI focuses on enhancing productivity and efficiency through automation.

What is your favorite aspect of this product?

Scalability and Performance: Altair Data Analytics & AI is designed to handle large-scale datasets and complex analytical tasks. Integration and Collaboration: Altair Data Analytics & AI provides integration capabilities, enabling seamless connectivity with various data sources, databases, and third-party tools. Visualization and Reporting: Altair Data Analytics & AI includes interactive data visualization and reporting features.

What do you dislike most about this product?

Learning Curve: Altair Data Analytics & AI is a comprehensive platform with various features and capabilities. Customization Limitations: While Altair Data Analytics & AI provides a wide range of analytics tools and functionalities, some users might find limitations in customizing or extending the platform to meet specific needs. Platform-Specific Workflow: Altair Data Analytics & AI has its own workflow and user interface, which may differ from other data analytics and AI tools. Software Updates and Maintenance: Like any software product, Altair Data Analytics & AI may release updates and new versions periodically.

What recommendations would you give to someone considering this product?

Clearly Define Your Requirements: Before considering any data analytics and AI platform, clearly define your business objectives, project requirements, and desired outcomes. Evaluate Integration and Compatibility: Assess how well Altair Data Analytics & AI integrates with your existing data infrastructure and other tools in your analytics workflow. Consider Scalability and Performance: Determine whether Altair Data Analytics & AI can handle the scale and complexity of your data and analytics tasks. Explore Customization and Extensibility: Determine the level of customization and extensibility offered by Altair Data Analytics & AI.

Pros

Continually Improving Product
Performance Enhancing
Enables Productivity
Unique Features

Antonio P.

Role: Consultant
Industry: Consulting
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Apr 2022

Pricey, integration to improve, but with potential

Likeliness to Recommend

8 /10

What differentiates Altair Data Analytics & AI from other similar products?

Features and integration

What is your favorite aspect of this product?

Capabilities and outcome

What do you dislike most about this product?

Not well integrated with other software

What recommendations would you give to someone considering this product?

Capabilities

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Role: Student Academic
Industry: Education
Involvement: Business Leader or Manager

Validated Review

Anonymous Reviewer

Submitted Apr 2022

iIntegrates multiple programming languages.

Likeliness to Recommend

8 /10

Pros

Respectful
Acts with Integrity
Generous Negotitation
Friendly Negotiation

Cons

Vendor Friendly Policies
Commodity Features
Less Fair

Altair Data Analytics & AI

What is Altair Data Analytics & AI?

Company Details

Need Assistance?

Altair Data Analytics & AI Ratings

75 Likeliness to Recommend

1 Since last award

86 Plan to Renew

63 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+65 Net Emotional Footprint

How much do users love Altair Data Analytics & AI?

Pros

Cons

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Labeling Ability to annotate/ label data to create a training data set.

Explainability Ability to explain/ visualize the model.

Openness and Flexibility Integration with open-source and 3P resources (languages, frameworks, libraries, etc.)

Data Ingestion Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

Algorithm Diversity Provides multiple diverse ready-to-use machine learning algorithms out-of-the-box.

Model Monitoring and Management Ability to monitor model use and performance in production, incl. identifying models for refresh and/or replacement.

Algorithm Recommendation Ability to recommend a best ML algorithm to use based on dataset characteristics.

Pre-Packaged AI/ML Services Pre-trained models and associated resources, e.g., for forecasting, recommendations, image and video analysis, NLP, voice, etc.

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Ensembling 'Ability to combine ML models for best results.

Feature Engineering Ability to extract and build features from raw data.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Altair Data Analytics & AI Reviews

Sashank M.

Features are perfect and easy to use

Likeliness to Recommend

Pros

Antonio P.

Pricey, integration to improve, but with potential

Likeliness to Recommend

Pros

iIntegrates multiple programming languages.

Likeliness to Recommend

Pros

Cons

1
Since last award

1
Since last award

Feature Ratings

Data Labeling

Explainability

Openness and Flexibility

Data Ingestion

Algorithm Diversity

Model Monitoring and Management

Algorithm Recommendation

Pre-Packaged AI/ML Services

Data Exploration and Visualization

Ensembling

Feature Engineering

Vendor Capability Ratings

Business Value Created

Breadth of Features

Quality of Features

Availability and Quality of Training

Ease of Data Integration

Ease of Customization

Vendor Support

Usability and Intuitiveness

Ease of Implementation

Product Strategy and Rate of Improvement

Ease of IT Administration