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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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

1
Since last award

93 Plan to Renew

2
Since last award

82 Satisfaction of Cost Relative to Value

2
Since last award

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

Service Experience

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Emotional Footprint Overview

Product Experience:: 98%
Negotiation and Contract:: 97%
Conflict Resolution:: 94%
Strategy & Innovation:: 97%
Service Experience:: 85%

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

8% Neutral

92% 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

Kerry B.

Role: Information Technology
Industry: Other
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Jun 2022

Convenient data preparation platform

Likeliness to Recommend

9 /10

What differentiates Altair Graph Studio from other similar products?

I have not had an opportunity to use similar data preparation product in the organizations I have worked before.

What is your favorite aspect of this product?

The most important tool is that this platform has converted all data into useful analytics hub. We get the best insights after analysis that enhances us to plan and make good decisions for implementing projects.

What do you dislike most about this product?

We have gained a lot from business insights that we get from this platform. I have no complain whatsoever from its performance.

What recommendations would you give to someone considering this product?

Anzo has all it takes to accelerate business performance at any level and I totally recommend it to other organizations.

Pros

Helps Innovate
Efficient Service
Inspires Innovation
Saves Time

Role: Operations
Industry: Finance
Involvement: End User of Application

Validated Review

Anonymous Reviewer

Submitted Dec 2020

Good product overall, responsive company

Likeliness to Recommend

8 /10

Pros

Respectful
Reliable
Performance Enhancing
Effective Service

Cons

Vendor Friendly Policies
Charges for Enhancements

Altair Graph Studio

What is Altair Graph Studio?

Company Details

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Awards & Recognition

Altair Graph Studio Ratings

88 Likeliness to Recommend

1 Since last award

93 Plan to Renew

2 Since last award

82 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

Emotional Footprint Overview

+93 Net Emotional Footprint

How much do users love Altair Graph Studio?

Chart

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

Kerry B.

Convenient data preparation platform

Likeliness to Recommend

Pros

Good product overall, responsive company

Likeliness to Recommend

Pros

Cons

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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