{"best_for":["Enterprise companies","Mid-market companies","Data engineering teams","Organizations using data mesh or data fabric architectures"],"citation":{"dataset":"aitoolsforbusiness-agent-tool-export","directory_tool_url":"https://aitoolsforbusiness.ai/data-virtuality-platform","json_profile_url":"https://aitoolsforbusiness.ai/data/tools/data-virtuality-platform.json","markdown_profile_url":"https://aitoolsforbusiness.ai/data/markdown/tools-md-015.json","schema_version":"1.4.0","suggested_citation_label":"AI Tools for Business: data virtuality platform (https://aitoolsforbusiness.ai/data-virtuality-platform)"},"features":["Semantic Layer: Provides a unified view of data from cloud, application, and on-premises sources for governed access.","Data Connectors: Includes 270+ connectors to integrate various heterogeneous data sources.","MPP Engine: A massively parallel processing engine designed to scale performance for complex workloads.","Centralized Data Governance: Supports the application of access controls and policies across systems using business and technical metadata.","Query Optimization: Uses multi-layer query tuning to help manage performance across disparate data environments.","Self-Service Data Access: Designed to allow stakeholders to retrieve and analyze data independently through a central access point."],"freshness_status":"fresh","name":"data virtuality platform","pricing_note":"Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.","pricing_url":null,"primary_category":"Data & Analytics","profile_last_verified":"2026-06-06T17:33:21.242Z","secondary_categories":[],"short_description":"CData Virtuality is an enterprise data virtualization platform that uses a semantic layer to unify cloud, application, and on-premises data sources.","slug":"data-virtuality-platform","sponsorship_status":"none","url":"https://aitoolsforbusiness.ai/data-virtuality-platform","use_cases":["Central Data Access Layer: Creating a single entry point for users to perform self-service analytics across complex datasets.","Data Mesh Implementation: Supporting domain teams in managing and delivering their own data products.","AI Data Foundation: Providing a layer of governed, real time data to power AI models and production-ready AI agents.","Hybrid and Multi-Cloud Integration: Unifying data across different cloud providers and on-premises systems to support business continuity."],"website_url":"https://www.datavirtuality.com/"}