Altair Engineering, Inc.

Altair Graph Studio

Composite Score

7.5 /10

CX Score

7.9 /10

16 Reviews Write a Review

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What is Altair Graph Studio?

Altair Graph Studio (formerly Anzo by Cambridge Semantics) is a comprehensive data discovery and integration toolset that applies a semantic, graph-based data fabric layer over diverse enterprise data sources. This semantic layer adds real-world meaning to data – structured and unstructured alike – making insights clearer and previously unseen connections explicit. Graph Studio creates a single pane of glass for an enterprise's data, eliminates data silos, activates unused data, and enables exciting new levels of on-demand business insight.

Company Details

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Awards & Recognition

Altair Graph Studio won the following awards in the Data Preparation for Analytics category

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1 Top Rated Capabilities

5 Top Rated Features

Latest Award, 2025

1 Top Rated Capabilities

6 Top Rated Features

2024

Altair Graph Studio Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Altair Graph Studio.

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.

88 Likeliness to Recommend

93 Plan to Renew

82 Satisfaction of Cost Relative to Value

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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.

+93 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 Graph Studio?

0% Negative

9% Neutral

91% Positive

Pros

Reliable
Performance Enhancing
Inspires Innovation
Respectful

Feature Ratings

Average 82

Data Profiling

Data Packaging

Data Integration

Data Labeling

Data Modelling Tools

Cataloging

Data Connectors and Data Mashup

Data Security

Data Enrichment

Collaboration

Metadata Management

Vendor Capability Ratings

Average 75

Ease of Implementation

Business Value Created

Quality of Features

Product Strategy and Rate of Improvement

Ease of Customization

Ease of Data Integration

Ease of IT Administration

Usability and Intuitiveness

Breadth of Features

Vendor Support

Availability and Quality of Training

Altair Graph Studio Reviews

Stevvi M.

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

Validated Review

Verified Reviewer

Submitted Mar 2025

Breaking down Anzo

Likeliness to Recommend

9 /10

What differentiates Altair Graph Studio from other similar products?

It is a reliable data preparation tool which is providing effective services. It offers wide compatibility in terms of integration with many powerful data storage platforms, BI tools, and business systems, thus making it flexible for several tech stacks. Anzo empowers us to have self-service data exploration without involving an IT infrastructure, so accelerates insight generation. This software also supports us in generating customizable dashboards based on our demands.

What is your favorite aspect of this product?

Its ability to real-time integration and transformation of the content is another standout functioning. This empowers us to adapt new data and analysis swiftly, thus aiding us in making instant decision choices, and in doing more agile operations. Anzo allows our non-technical employees to discover its features easily and interact with data resourcefully. Its self-adhesive feature makes it easy for us to democratize data.

What do you dislike most about this product?

Where I feel the need for improvement is its customer service and support area, which should be more active and experts-based, especially in case, when we have issues regarding any immediate technical function, we face slow and unreliable solutions.

What recommendations would you give to someone considering this product?

If you are seeking long-term scalability, it is the best asset. But make it guarantee that your existing staff and system are capable of matching its working vibes. Also, take fully benefits if iterative approach for future development.

Pros

Helps Innovate
Reliable
Trustworthy
Effective Service

Role: Student Academic
Industry: Engineering
Involvement: Initial Implementation

Validated Review

Anonymous Reviewer

Submitted Sep 2024

Steep learning curve but great

Likeliness to Recommend

6 /10

Pros

Helps Innovate
Continually Improving Product
Inspires Innovation
Trustworthy

Cons

Less Effective Service
Less Caring
Wastes Time

Franklin O.

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

Validated Review

Verified Reviewer

Submitted Mar 2025

Data cataloging and Real time analytics

Likeliness to Recommend

9 /10

What differentiates Altair Graph Studio from other similar products?

Real time analytics

What is your favorite aspect of this product?

Real-time analytics

What do you dislike most about this product?

Limited statistics

What recommendations would you give to someone considering this product?

Uniqueness for data cataloging

Pros

Performance Enhancing
Enables Productivity
Unique Features
Efficient Service

Altair Graph Studio

What is Altair Graph Studio?

Company Details

Need Assistance?

Awards & Recognition

Altair Graph Studio Ratings

88 Likeliness to Recommend

93 Plan to Renew

82 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+93 Net Emotional Footprint

How much do users love Altair Graph Studio?

Pros

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

Data Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

Data Packaging Creating technology-specific data repository design optimized for a consumption use case, e.g.: time-series database, muti-dimensional cube, graph database, etc

Data Integration Includes integration of data from multiple sources, merging systems, transforming data and capture data to form a unified view of a company's data assets

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

Data Modelling Tools Includes ability to model complex relationships between internal application sources and other parties.

Cataloging Interactive graphical exploratory data analysis through immersive interfaces.

Data Connectors and Data Mashup Connect to, merge and clean data from multiple diverse data sources.

Data Security Includes ability to hide sensitive data by masking with special characters or anonymous information.

Data Enrichment Includes the enhancement of the value of internally held data by appending related attributes from external sources .

Collaboration Includes ability to view, share and direct work between co-workers in real or near real-time.

Metadata Management A metadata layer makes reporting easy and eliminates the need for coding and SQL, allowing users to see and access information in simple business language.

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

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.

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.

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.

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 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.

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

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

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.

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.

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.

Altair Graph Studio Reviews

Stevvi M.

Breaking down Anzo

Likeliness to Recommend

Pros

Steep learning curve but great

Likeliness to Recommend

Pros

Cons

Franklin O.

Data cataloging and Real time analytics

Likeliness to Recommend

Pros

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Feature Ratings

Data Profiling

Data Packaging

Data Integration

Data Labeling

Data Modelling Tools

Cataloging

Data Connectors and Data Mashup

Data Security

Data Enrichment

Collaboration

Metadata Management

Vendor Capability Ratings

Ease of Implementation

Business Value Created

Quality of Features

Product Strategy and Rate of Improvement

Ease of Customization

Ease of Data Integration

Ease of IT Administration

Usability and Intuitiveness

Breadth of Features

Vendor Support

Availability and Quality of Training