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What is Modern DataOS?

DataOS, the premier offering from The Modern Data Company, revolutionizes how businesses handle, consolidate, and activate data on a large scale by transforming unprocessed information into governed, reusable, and AI-ready data products that bolster insights and enhance decision-making without compromising team efficiency. This cutting-edge platform offers a versatile, open architecture that integrates effortlessly with current data systems, allowing organizations to discover and employ trustworthy data products that come with detailed policies, established ownership, traceability, and a universal semantic layer that aligns metrics and definitions across different sectors. By reducing complexity and hidden costs, DataOS speeds up the process of extracting value from data. Furthermore, it includes robust discovery and search capabilities, enabling users to sift through a selection of curated, business-ready data products categorized by domain or application, and it also features global metrics and lifecycle management to monitor the usage, performance, adoption, and return on investment of data products throughout their entire lifespan. Consequently, organizations are empowered to make quicker, more informed decisions, ultimately resulting in enhanced business performance and competitive advantage. This transformative approach not only optimizes data utilization but also fosters a culture of data-driven decision-making within the organization.

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

Amazon Web Services (AWS)
Angular
Databricks
Google Cloud Platform
Jupyter Notebook
Microsoft Azure
Microsoft Excel
React
Salesforce
Snowflake
Tableau

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

The Modern Data Company

Date Founded

2019

Company Location

United States

Company Website

www.themoderndatacompany.com

Company Facts

Organization Name

Cambridge Semantics

Date Founded

2007

Company Location

United States

Company Website

www.cambridgesemantics.com/product/

Categories and Features

Data Management

Not specified

Categories and Features

Data Catalog

Not specified

Data Discovery

Not specified

Data Fabric

Not specified

Data Modeling

Not specified

Data Preparation

Not specified

Integration

Not specified

Metadata Management

Not specified

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