Model Context Protocol (MCP) finally gives AI models a way to access the business data needed to make them really useful at work. CData MCP Servers have the depth and performance to make sure AI has access to all of the answers.
Try them now for free →
Bring disparate data into the hands of users 80% faster
CData Virtuality is an independent semantic layer that bridges the gap in your heterogeneous data landscape through four key pillars: connectivity, modeling, governance, and data product delivery.
CData Virtuality's four key pillars: The difference
Seamlessly connect heterogeneous data — bridging the gap between digital platforms and legacy systems for real-time insight
Accelerate data preparation with no scale limitations — bridging virtual and physical data models
Centralize data governance — providing holistic management of physical and virtual data assets with corresponding business, operational, and technical metadata
Deliver data products across disparate environments — put the right data into the hands of the right users at the right time
CData Virtuality in your modern data architecture
Data Consumers
Business Intelligence Tools
AI & ML
Apps
Microservices
Data Product Delivery
Central Data Governance and Metadata Management
Data Modeling
Data Connectivity
Data Sources
Data Warehouse, Databases
Data Lake, No SQL Storages
Data Lakehouse
Online Analytics
Streaming, Kafka
Cloud, API, SaaS
Files (CSV, JSON, XML)
300+
The benefits of CData Virtuality
IT Perspective
Integrate heterogeneous data sources with 300+ connectors easily, breaking down data silos and reducing custom coding and maintenance efforts.
Business Perspective
Gain real-time insights, greater visibility, and faster, more informed decision-making with a complete, unified view of data from all sources, eliminating data gaps.
IT Perspective
Test, iterate, and deploy new data solutions faster through rapid prototyping using a mix of low-code and code-based options, increasing agility and reducing time-to-market for growth.
Business Perspective
Accelerate analytics and reporting by adapting quickly to new business needs, ensuring faster, data-driven decisions and a competitive edge.
IT Perspective
Consistently apply access controls and policies across systems, enhancing compliance and security.
Business Perspective
Reduce risk associated with inconsistent or unsecured data and rely on trustworthy, consistent data.
IT Perspective
Deliver data products across disparate environments and enable self-service data access, reducing IT workload by empowering stakeholders to retrieve and analyze data independently.
Business Perspective
Take action independently, boost productivity, and provide swift responses to market changes by using a central data access point to quickly analyze data.
Customer Rating
Our key pillars in action
With CData Virtuality, you can
Build a central data access layer
that unifies complex data, allowing data citizens to perform self-service analytics with ease and efficiency.
Adopt a data mesh architecture
to boost organizational agility and flexibility, empowering domain teams to independently manage their data products.
Establish a data fabric
to enhance operational efficiency, simplify infrastructure, and cut costs.
Accelerate AI initiatives
with a robust data foundation, delivering high-quality, trusted, real-time data to power your AI models.
Integrate hybrid- and multi-cloud architectures
to lower operational costs and enhance business continuity.
News & insights
