Altair Engineering, Inc.

Altair Data Analytics & AI

Composite Score

7.0 /10

CX Score

7.2 /10

23 Reviews Write a Review

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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.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

80 Likeliness to Recommend

1
Since last award

93 Plan to Renew

1
Since last award

71 Satisfaction of Cost Relative to Value

5
Since last award

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+82 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?

9% Negative

14% Neutral

77% Positive

Pros

Performance Enhancing
Efficient Service
Acts with Integrity
Includes Product Enhancements

Feature Ratings

Average 76

Explainability

Algorithm Recommendation

Data Exploration and Visualization

Feature Engineering

Pre-Packaged AI/ML Services

Algorithm Diversity

Data Labeling

Openness and Flexibility

Data Ingestion

Performance and Scalability

Model Monitoring and Management

Vendor Capability Ratings

Average 73

Availability and Quality of Training

Business Value Created

Breadth of Features

Ease of Implementation

Ease of Data Integration

Vendor Support

Ease of Customization

Quality of Features

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Ease of IT Administration

Altair Data Analytics & AI Reviews

Srikanth C.

Role: Information Technology
Industry: Engineering
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Nov 2024

Best Analytical platform

Likeliness to Recommend

9 /10

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

The interface is very user friendly and customisable. The options to customise code space and editor are really comfortable to use. The overall cost assosiated with the product is also reasonable.

What is your favorite aspect of this product?

The ability to write code in different languages seamlessly is very convenient. I could switch between python, SQL AND R effortlessly. Creating data flows and integrating big data is also made easy.

What do you dislike most about this product?

Maintaining and organizing code base is a bit lacking as it is ofter cumbersome to find old codes.

What recommendations would you give to someone considering this product?

Understanding of Analytics and AI beforehand is needed and the platform could give a boost to our efficiency

Pros

Reliable
Performance Enhancing
Enables Productivity
Caring

Sangita M.

Role: Sales Marketing
Industry: Biotechnology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Oct 2024

Fantastic product!

Likeliness to Recommend

9 /10

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

Altair Data Analytics and AI stands out from other similar products particularly in user friendly interface and robust visualization features along with rich documentation. It focuses on integrated modeling and simulation capabilities which enable user to optimize complex systems.

What is your favorite aspect of this product?

I like the range of intuitive visualization which helps to communicate findings effectively.

What do you dislike most about this product?

I think sometimes the extensive features of the product can be overwhelming to new users.

What recommendations would you give to someone considering this product?

I recommend to try with a trial or demo to get hands-on experience to get a sense of the products. Additionally, take advantage of enrich documentation, training resources and community forums will be helpful.

Pros

Reliable
Performance Enhancing
Enables Productivity
Trustworthy

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

Altair Data Analytics & AI

What is Altair Data Analytics & AI?

Company Details

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Altair Data Analytics & AI Ratings

80 Likeliness to Recommend

1 Since last award

93 Plan to Renew

1 Since last award

71 Satisfaction of Cost Relative to Value

5 Since last award

Emotional Footprint Overview

+82 Net Emotional Footprint

How much do users love Altair Data Analytics & AI?

Pros

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

Explainability Ability to explain/ visualize the model.

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

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

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

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

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

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

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.

Performance and Scalability Systems performance (time) and scalability end-to-end: from data load and processing to model creation and deployment.

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

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

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.

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.

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.

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

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.

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.

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.

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.

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

Srikanth C.

Best Analytical platform

Likeliness to Recommend

Pros

Sangita M.

Fantastic product!

Likeliness to Recommend

Pros

Sashank M.

Features are perfect and easy to use

Likeliness to Recommend

Pros

Most Popular Altair Data Analytics & AI Comparisons

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Feature Ratings

Explainability

Algorithm Recommendation

Data Exploration and Visualization

Feature Engineering

Pre-Packaged AI/ML Services

Algorithm Diversity

Data Labeling

Openness and Flexibility

Data Ingestion

Performance and Scalability

Model Monitoring and Management

Vendor Capability Ratings

Availability and Quality of Training

Business Value Created

Breadth of Features

Ease of Implementation

Ease of Data Integration

Vendor Support

Ease of Customization

Quality of Features

Usability and Intuitiveness

Product Strategy and Rate of Improvement

Ease of IT Administration