Altair AI Studio Features
Reports (5)
Reports Interface
Reports interface for standard and self-service reports is intuitive and easy to use.
Steps to Answer
Requires a minimal number of steps/clicks to answer business question.
Graphs and Charts
Offers a variety of attractive graph and chart formats.
Score Cards
Score cards visually track KPI's.
Dashboards
Provides business users an interface to easily design, refine and collaborate on their dashboards
Self Service (6)
Calculated Fields
Using formulas based on existing data elements, users can create and calculate new field values.
Data Column Filtering
Business users have the ability to filter data in a report based on predefined or automodeled parameters.
Data Discovery
Users can drill down and explore data to discover new insights.
Search
Ability to search global data set to find and discover data.
Collaboration / Workflow
Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms.
Automodeling
Tool automatically suggests data types, schemas and hierarchies.
Advanced Analytics (3)
Predictive Analytics
Analyze current and historical trends to make predictions about future events.
Data Visualization
Communicate complex information clearly and effectively through advanced graphical techniques.
Big Data Services
Ability to handle large, complex, and/or siloed data sets.
Building Reports (4)
Data Transformation
Converts data formats of source data into the format required for the reporting system without mistakes.
Data Modeling
Ability to (re)structure data in a manner that allows extracting insights fast and accurate.
WYSIWYG Report Design
Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get)
Integration APIs
Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications.
Statistical Tool (3)
Scripting
Supports a variety of scripting environments This feature was mentioned in 176 Altair AI Studio reviews.
Data Mining
Mines data from databases and prepares data for analysis This feature was mentioned in 249 Altair AI Studio reviews.
Algorithms
Applies statistical algorithms to selected data This feature was mentioned in 266 Altair AI Studio reviews.
Data Analysis (2)
Analysis
Analyzes both structured and unstructured data 283 reviewers of Altair AI Studio have provided feedback on this feature.
Data Interaction
Interacts with data to prepare it for visualizations and models This feature was mentioned in 269 Altair AI Studio reviews.
Decision Making (4)
Modeling
Offers modeling capabilities 275 reviewers of Altair AI Studio have provided feedback on this feature.
Data Visualizations
Creates data visualizations or graphs This feature was mentioned in 251 Altair AI Studio reviews.
Report Generation
Generates reports of data performance 254 reviewers of Altair AI Studio have provided feedback on this feature.
Data Unification
Based on 226 Altair AI Studio reviews. Unifies information on a singular platform
Model Development (5)
Language Support
Based on 33 Altair AI Studio reviews. Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript
Drag and Drop
Offers the ability for developers to drag and drop pieces of code or algorithms when building models 57 reviewers of Altair AI Studio have provided feedback on this feature.
Pre-Built Algorithms
Provides users with pre-built algorithms for simpler model development 54 reviewers of Altair AI Studio have provided feedback on this feature.
Model Training
Based on 52 Altair AI Studio reviews. Supplies large data sets for training individual models
Feature Engineering
Based on 47 Altair AI Studio reviews. Transforms raw data into features that better represent the underlying problem to the predictive models
Machine/Deep Learning Services (6)
Computer Vision
Offers image recognition services This feature was mentioned in 30 Altair AI Studio reviews.
Natural Language Processing
Offers natural language processing services 35 reviewers of Altair AI Studio have provided feedback on this feature.
Natural Language Generation
Offers natural language generation services This feature was mentioned in 23 Altair AI Studio reviews.
Artificial Neural Networks
As reported in 39 Altair AI Studio reviews. Offers artificial neural networks for users
Natural Language Understanding
Based on 32 Altair AI Studio reviews. Offers natural language understanding services
Deep Learning
Based on 35 Altair AI Studio reviews. Provides deep learning capabilities
Deployment (3)
Managed Service
Based on 38 Altair AI Studio reviews. Manages the intelligent application for the user, reducing the need of infrastructure
Application
As reported in 37 Altair AI Studio reviews. Allows users to insert machine learning into operating applications
Scalability
Provides easily scaled machine learning applications and infrastructure 34 reviewers of Altair AI Studio have provided feedback on this feature.
System (1)
Data Ingestion & Wrangling
Gives user ability to import a variety of data sources for immediate use This feature was mentioned in 52 Altair AI Studio reviews.
Data Preparation (2)
Connectors
Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications.
Data Governance
Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data
Data Modeling and Blending (3)
Data Querying
Using formulas based on existing data elements, users can create and calculate new field values
Data Filtering
Business users have the ability to filter data in a report based on predefined or automodeled parameters.
Data Blending
Allows the user to combine data from multiple sources into a functioning dataset.
Setup (3)
Integration
Provides the ability to import data from a variety of sources and in multiple data formats.
Maintenance
Consistently maintains, updates, and tests data sources to ensure quality.
No-Code
Allows users to analyze data easily without the need to code.
Data (2)
Security
Ensures privacy and security of customer data.
Data Visualization
Visualizes text data through charts and graphs.
Analysis (7)
Automation
Automates back-end technical manual processes.
Named entity recognition
Identifies entities such as organization, person name, location, etc
Keyphrase Extraction
Extracts keyphrases to determine patterns and themes within text.
Topic Analysis
Automatically identifies and organizes text based on topic or subject matter.
Sentiment Analysis
Utilizes sentiment analysis to capture user feedback.
Language Identification
Identifies the language in which text was written in.
Syntax/Part of Speech Parsing
Provides the ability to identify syntax and parts of speech.
Customization (3)
Pre-Built Parameterization
Allow capabilities to be customized (key-phrase, topics, sentiment, named entity) by adding keywords or exceptions.
Custom Extension
Allow user to add custom functions to Analysis capabilities
Compositionality
User created models can be used as features/pre-built in other models
Generative AI (7)
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text Generation
Allows users to generate text based on a text prompt.
AI Text Summarization
Condenses long documents or text into a brief summary.
AI Text-to-Image
Provides the ability to generate images from a text prompt.
Scalability and Performance - Generative AI Infrastructure (3)
AI High Availability
Ensures that the service is reliable and available when needed, minimizing downtime and service interruptions.
AI Model Training Scalability
Allows the user to scale the training of models efficiently, making it easier to deal with larger datasets and more complex models.
AI Inference Speed
Provides the user the ability to get quick and low-latency responses during the inference stage, which is critical for real-time applications.
Cost and Efficiency - Generative AI Infrastructure (3)
AI Cost per API Call
Offers the user a transparent pricing model for API calls, enabling better budget planning and cost control.
AI Resource Allocation Flexibility
Provides the user the ability to allocate computational resources based on demand, making it cost-effective.
AI Energy Efficiency
Allows the user to minimize energy usage during both training and inference, which is becoming increasingly important for sustainable operations.
Integration and Extensibility - Generative AI Infrastructure (3)
AI Multi-cloud Support
Offers the user the flexibility to deploy across multiple cloud providers, reducing the risk of vendor lock-in.
AI Data Pipeline Integration
Provides the user the ability to seamlessly connect with various data sources and pipelines, simplifying data ingestion and pre-processing.
AI API Support and Flexibility
Allows the user to easily integrate the generative AI models into existing workflows and systems via APIs.
Security and Compliance - Generative AI Infrastructure (3)
AI GDPR and Regulatory Compliance
Helps the user maintain compliance with GDPR and other data protection regulations, which is crucial for businesses operating globally.
AI Role-based Access Control
Allows the user to set up access controls based on roles within the organization, enhancing security.
AI Data Encryption
Ensures that data is encrypted during transit and at rest, providing an additional layer of security.
Usability and Support - Generative AI Infrastructure (2)
AI Documentation Quality
Provides the user with comprehensive and clear documentation, aiding in quicker adoption and troubleshooting.
AI Community Activity
Allows the user to gauge the level of community support and third-party extensions available, which can be useful for problem-solving and extending functionality.
Agentic AI - Analytics Platforms (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Data Science and Machine Learning Platforms (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Deployment & Integration - Analytics Platforms (4)
No-code Dashboard Builder
Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces
Report Scheduling and Automation
Enables automated report generation and scheduled delivery to stakeholders
Embedded Analytics and White-labeling
Allows dashboards and analytics to be embedded into external apps with branding flexibility
Data Source Connectivity
Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications
Performance & Scalability - Analytics Platforms (2)
Large data handling and Query Speed
Efficiently processes large datasets with minimal lag and ensures high performance under load
Concurrent User Support
Maintains performance and uptime during high traffic from multiple users or teams
Advanced Analytics & Modeling - Analytics Platforms (3)
Data Modeling and Governance
Supports semantic data layers, role-based access controls, and metadata governance
Notebook and Script Integration
Integrates with Jupyter, Python, or R for custom analytics and modeling
Built-in Predictive and Statistical Models
Provides native tools for statistical analysis, forecasting, and trend prediction
Agentic AI Capabilities - Analytics Platforms (4)
Auto-generated Insights and Narratives
Uses AI to generate textual summaries, key takeaways, and data stories from dashboards
Natural Language Queries
Allows users to query data and build reports using conversational or plain language
Proactive KPI Monitoring and Alerts
Detects and notifies users about KPI anomalies or significant metric changes in real time
AI Agents for Analytical Follow-ups
Recommends next questions, analyses, or exploration paths using autonomous AI agents
Personalized Intelligence - Analytics Platforms (3)
Behavioral Learning for Contextual Query Refinement
Learns from historical user interactions to improve and personalize query results over time
Role-based Insight Personalization
Tailors dashboard views and suggestions based on user roles, access levels, and past behavior
Conversational and Prompt-based Analytics
Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying
Data Ingestion & Preparation - Low-Code Machine Learning Platforms (3)
Automatic Data Profiling & Quality Assessment
Analyzes incoming datasets to surface missing values, distributions, outliers, and data quality issues automatically
Multi‑Source Connector Support
Enables users to ingest data from diverse sources (databases, APIs, cloud storage, spreadsheets) without custom coding
Schema Drift / Change Detection
Automatically alerts users when incoming data’s schema deviates from expected structure over time
Model Construction & Automation - Low-Code Machine Learning Platforms (3)
Guided Algorithm & Hyperparameter Recommendation
Suggests or auto‑selects candidate algorithms and hyperparameters based on dataset characteristics
Code Extensibility
Allows users to insert custom code (e.g. Python, R, SQL) or custom modules into pipeline stages for flexibility
Automated Feature Engineering
Automatically proposes or applies derived features to improve model performance





