Name: Cambridge Semantics Anzo
Author: Cambridge Semantics

Digital Adoption

Help Desk

Web and Video Conferencing

Customer Support

Bug  Tracking

Software Repositories

Development

Online Proctoring Software

Education

Audit

Business Intelligence (BI)

Collaboration

Enterprise Generative AI

Visual Collaboration

Enterprise

Accounting

Revenue Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Recruitment Automation

Succession Planning

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

3D Printers

AIOps

C/C++ Integrated Development Environments

Cloud Storage

Cybersecurity Consulting

Data Center Infrastructure Management

Data Quality

Data Virtualization

Desktop Management

Distributed Denial of Service (DDoS) Protection

Fraud Detection

Hadoop-Related

Hosted Virtual Desktop

Integration Platform as a Service (iPaaS)

MLOps

Managed Public Cloud Infrastructure

Mobile Data Security

Monolithic Frame-based Disk Arrays

Network Performance Monitoring

Process Mining

Relational Databases

Security Awareness Training

Web Access Management

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Appointment Scheduling

Consumer Ratings & Reviews

Content Management

Email Marketing

Event Registration

Landing Page

Marketing Automation

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

AI Meeting Assistants

Project Management

Professional Services

Customer Relationship Management (CRM)

Lead Generation Services

Sales

Antivirus

User and Entity Behavior Analytics (UEBA)

Security

Construction Accounting

Hotel Management

Library Management

Mental Health

Multiple Listing Service (MLS)

Pharmacy

Scholarship Management

Telemedicine

Utilities

Vertical-Specific

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Anzo by Cambridge Semantics is a knowledge graph platform designed to enable agile data integration, transformation, and analytics at enterprise scale. It is built for both small and large enterprises that deal with complex and diverse data sources and require scalable data integration and analytics solutions. Anzo is utilized by data scientists, analysts, IT professionals, data engineers, and business intelligence professionals across various industries, including financial services.

## Key Features

**Scalable Knowledge Graph Platform**: According to the vendor, Anzo is built on a high-performance graph database engine called AnzoGraph, enabling agile data integration, transformation, and analytics at enterprise scale. It utilizes an in-memory MPP processing paradigm to execute queries quickly.

**Data Onboarding and Integration**: Anzo provides data onboarding pipelines, virtualization, and transformation capabilities, allowing for rapid cataloging and connection of structured and unstructured, internal and external data sources. Users can build highly integrated enterprise-scale knowledge graphs using flexible semantic graph models and AnzoGraph.

**Semantic Definitions for Data Enrichment**: Anzo adds a layer of semantic definitions on top of the graph, making the data easier to understand and use. Users can create, edit, or import models based on RDF and OWL using built-in modeling tools. Versioning and access control features are available for efficient model management.

**Advanced Analytics Capabilities**: AnzoGraph includes data science primitives, traditional OLAP analytics, graph algorithms, and geospatial functions. Users can apply these analytics natively within Anzo or connect with common data science and analytic platforms and tools.

**Agile Data Supply Chain**: According to the vendor, Anzo accelerates the delivery of new analytics-ready data products by providing an enterprise-scale knowledge graph of highly blended data for on-demand access. It allows for rapid generation of new combinations of datasets and exploration of pre-defined data products.

**High-Performance In-Memory MPP Architecture**: AnzoGraph's high-performance in-memory MPP architecture enables rapid data loading, modeling, and analysis at scale. It also supports Kubernetes, ensuring efficient resource utilization and scalability.

**Flexible Semantic Graph Models**: Anzo enables the creation of flexible semantic graph models, allowing users to define relationships and properties between data entities. This facilitates richer integration of data around intuitive business terms and definitions.

**Seamless Integration with Data Science Ecosystems**: Anzo supports Jupyter Notebooks, Apache Arrow Flight Protocol, HTTP/REST APIs, BI tools, and user-defined extensions (UDX), enabling seamless integration with new and existing data science and advanced analytics ecosystems.

**Data Visualization and Exploration**: Anzo's data visualization module allows for the exploration and analysis of knowledge graphs. It enables users to visually navigate and interact with the data, uncovering valuable insights.


Cambridge Semantics in Boston offers Anzo, a data catalog that lets anyone find, connect and blend any enterprise data into analytics-ready datasets. Anzo’s graph data models provide business users with a visual map of enterprise data that is presented by the vendor as easy to understand and navigate, even when data is vast, siloed and complex.

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