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ease
features
design
support

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Description

Anzo is an innovative platform for data discovery and integration that empowers users to locate, connect, and blend various enterprise data into datasets that are ready for analysis. With its distinctive application of semantics and graph data models, Anzo enables individuals across the organization—from expert data scientists to inexperienced business users—to actively participate in the data discovery and integration journey, crafting their own analytics-ready datasets in the process. The graph data models offered by Anzo create a visual representation of enterprise data, simplifying the navigation and understanding of complex and siloed information. By incorporating semantics, Anzo enriches the data with business context, allowing users to unify data according to shared definitions and create blended datasets that are tailored for immediate business needs. This democratization of data access not only fosters collaboration but also accelerates decision-making across various levels of the organization.

Description

Veracity Data Fabric serves as a secure environment for managing data in both cloud and on-premise settings. It enables users to centralize all types of information, ranging from data streams to discrete data objects, facilitated by secure sharing options. Users have the flexibility to either work with their own data or integrate it with various other datasets, leaving the choice entirely up to them. Our platform offers robust security technology and access to a wide array of data and analytics providers relevant to multiple industries, allowing users to determine how and when they engage with these resources. Data sharing is managed through SAS (shared access signature) keys, which enable users to control access permissions effectively. Additionally, all activities concerning the data stored in the container are logged in a ledger, allowing the container owner to monitor and review actions. Importantly, these keys can only be distributed to other users who have been authorized on the platform, ensuring a high level of security and data integrity. This comprehensive approach empowers users to maintain control over their data while fostering collaboration when desired.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

SparkLearn
Synergi Life

Integrations

SparkLearn
Synergi Life

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

€420 per year
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Cambridge Semantics

Founded

2007

Country

United States

Website

www.cambridgesemantics.com/product/

Vendor Details

Company Name

Veracity

Country

Norway

Website

store.veracity.com/veracity-data-fabric-secure-data-sharing

Product Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Fabric

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Product Features

Data Fabric

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

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