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What is Veracity Data Fabric?

Veracity Data Fabric provides a secure platform for managing data across both cloud environments and on-premise infrastructures. It allows users to consolidate various types of information, such as data streams and individual data objects, with secure sharing capabilities that enhance usability. Users can choose to utilize their own data or seamlessly combine it with other datasets, providing them with complete autonomy over their choices. The platform is equipped with advanced security measures and grants access to a diverse range of data and analytics providers tailored for numerous sectors, which empowers users to dictate how and when they interact with these tools. Access permissions are effectively managed through SAS (shared access signature) keys, which give users the ability to control who can access their data. All actions related to the data stored within the container are meticulously recorded in a ledger, enabling container owners to track and review activities for added transparency. Moreover, these keys can only be shared with users who have been authenticated on the platform, ensuring that security and data integrity remain paramount. This thorough system not only allows users to retain control over their data but also encourages collaboration when it is beneficial. Ultimately, Veracity Data Fabric stands out as a comprehensive solution for data management, addressing both security and accessibility needs.

What is Anzo?

Anzo emerges as a groundbreaking platform focused on data discovery and integration, allowing users to seamlessly find, connect, and combine any enterprise data into analytics-ready datasets. Its innovative use of semantics and graph data models opens the door for a diverse range of individuals within an organization—from seasoned data scientists to novice business users—to engage in the data discovery and integration process, enabling them to build their own datasets for analysis. By leveraging graph data models, Anzo offers business users an intuitive visual representation of the enterprise's data environment, which simplifies navigation and understanding, even when faced with large, isolated, and complex datasets. The addition of semantics not only enhances the data with relevant business context but also helps users align data through shared definitions, allowing for the dynamic creation of integrated datasets that meet specific requirements. This approach promotes broader access to data and enhances its usability, cultivating a data-driven culture within organizations that encourages informed decision-making at all levels. Consequently, Anzo stands as a vital tool for enhancing collaboration and efficiency in data management across various departments.

Media

Media

Integrations Supported

SparkLearn
Synergi Life

Integrations Supported

SparkLearn
Synergi Life

API Availability

Has API

API Availability

Has API

Pricing Information

€420 per year
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Veracity

Company Location

Norway

Company Website

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

Company Facts

Organization Name

Cambridge Semantics

Date Founded

2007

Company Location

United States

Company Website

www.cambridgesemantics.com/product/

Categories and Features

Data Fabric

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

Categories and 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

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