Data Collaboration Platform

Cure integration pain

Reduce people/team dependencies and rigid data contracts to make data reusable and deliver business outcomes faster

Improve data governance

Set granular data access and control policies that are universally enforced across all applications

Enable data self-service

Provide direct access for business users to self-serve operational reporting and analytics and build low-code/no-code business applications

LIberate, don’t integrate data

Make data available to access and change with real-time 2-way synchronization

Federate governance and controls

Create and manage data products with granular access and control policies

Unlock data collaboration

Use data products to access and change data without dependance on individual apps/teams

Data Sync Engine: Enable 2-way real-time data synchronization between applications and systems

Connectors: Use built-in connectors to liberate data with no-code configuration

Data Products: Create, govern, and connect data products in domains

Data Access Controls: Set data access and privacy policies enforced across all applications

Data Change Approval Workflows: Automatically version control data changes

Active Metadata Engine: Enable continuous auditing and updating of metadata

Data Time Machine: Automate lineage and data auditability and enable use of historical data and metadata

Data Browser: Provide a single UI to access and manage data across applications

Data Collaboration API: Use a single API to access and manage data across applications

Metadata Plasticity: Protect from code breakage as data models evolve

Anything 360 views

Configure 360 views - Customer 360, Product 360, Employee 360, Project 360, Partner 360 - across all data

Operational reporting and intelligence

Generate dynamic reports and analytics on real-time data across all applications and systems

Data delivery

Provide data across the organization for business users or project teams with universal management and controls

Applications and automations

Create custom UIs on top of all data without a new data store or new data access control logic

Collaborative Intelligence

Power collaboration between people and systems to enrich data, generate new insights, and put into action

“Data collaboration is a bold reimaging of the relationship between data and applications, where applications run on a shared data repository rather than individual dedicated databases, thus eliminating the need for data integration and preventing data duplication. So many of the tools we use today focus on bringing data together from multiple applications, but, with dataware, the data is never separated to begin with.”

Eckerson Group

Make integration obsolete

instead of using ETL and API-based tools to just make integration a bit easier

Stop silos and copies

instead of creating more data silos and copies of data with each integration

Use data to deliver operational capabilities AND intelligence

instead of using a data warehouse, data lake, or data lakehouse for analytics only

Get the best capabilities all-in-one

of a data fabric, knowledge graph, metadata management, data modeling, and data persistence

Analyst Report

Forrester Wave - Enterprise Data Fabric, Q2 2022

Webinar

Battle of the Modern Data Architectures

Analyst Report

Data Collaboration Platform

End data integration with data collaboration

Cure integration pain

Improve data governance

Enable data self-service

A different way to connect enterprise data

LIberate, don’t integrate data

Federate governance and controls

Unlock data collaboration

Make data reusable with an agile data ecosystem

Data Liberation

Data Productization

Data Collaboration

Get started with your next project to avoid future integrations

Deliver business capabilities with speed and ease