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Cambridge Semantics Inc

Anzo

Composite Score

7.5 /10

CX Score

7.8 /10

14 Reviews Write a Review

What is Anzo?

Anzo is a scaleable knowledge graph platform for data integration and analytics. Anzo makes turning siloed data into enterprise-scale knowledge graphs faster and easier than ever. From there, anything’s possible. Anzo is a modern data discovery and integration platform that lets anyone find, connect and blend any enterprise data into analytics-ready datasets.

Company Details

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Anzo Ratings

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

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.

87 Likeliness to Recommend

91 Plan to Renew

84 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.

+92 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 Anzo?

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 Enrichment

Data Security

Collaboration

Data Connectors and Data Mashup

Metadata Management

Vendor Capability Ratings

Average 75

Ease of Implementation

Quality of Features

Business Value Created

Ease of Data Integration

Ease of IT Administration

Product Strategy and Rate of Improvement

Ease of Customization

Usability and Intuitiveness

Breadth of Features

Vendor Support

Availability and Quality of Training

Anzo Reviews

Shashi k.

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

Validated Review

Verified Reviewer

Submitted Sep 2024

Easy to use

Likeliness to Recommend

10 /10

What differentiates Anzo from other similar products?

High performance graph database engine

What is your favorite aspect of this product?

Maintains and auditable history

What do you dislike most about this product?

No such things found

What recommendations would you give to someone considering this product?

Analyze the data

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Siddharth S.

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

Validated Review

Verified Reviewer

Submitted Sep 2024

Effortless Data Transformation into Graph

Likeliness to Recommend

10 /10

What differentiates Anzo from other similar products?

Anzo stands out by making it incredibly easy to turn scattered data into enterprise-scale knowledge graphs, offering real-time insights

What is your favorite aspect of this product?

My favorite aspect of Anzo is how quickly and easily it transforms siloed data into meaningful, interconnected knowledge graphs, enabling powerful insights without the usual complexity.

What do you dislike most about this product?

Price of the software is a bit higher compared to others product in market

What recommendations would you give to someone considering this product?

i will recommend this to startup and mid tear company

Pros

Helps Innovate
Continually Improving Product
Reliable
Trustworthy

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

Latest Research

Anzo

What is Anzo?

Company Details

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Awards & Recognition

Anzo Ratings

87 Likeliness to Recommend

91 Plan to Renew

84 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+92 Net Emotional Footprint

How much do users love Anzo?

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

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

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

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

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.

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.

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.

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.

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.

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.

Anzo Reviews

Shashi k.

Easy to use

Likeliness to Recommend

Pros

Siddharth S.

Effortless Data Transformation into Graph

Likeliness to Recommend

Pros

Steep learning curve but great

Likeliness to Recommend

Pros

Cons

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Title

Feature Ratings

Data Profiling

Data Packaging

Data Integration

Data Labeling

Data Modelling Tools

Cataloging

Data Enrichment

Data Security

Collaboration

Data Connectors and Data Mashup

Metadata Management

Vendor Capability Ratings

Ease of Implementation

Quality of Features

Business Value Created

Ease of Data Integration

Ease of IT Administration

Product Strategy and Rate of Improvement

Ease of Customization

Usability and Intuitiveness

Breadth of Features

Vendor Support

Availability and Quality of Training