Discover how a bimodal integration strategy can address the major data management challenges facing your organization today.
Get the Report →Solutions Enabled by CData Virtuality
Self-Service Semantic Layer
A semantic layer provides central access to data and the business logic for self-service BI and data science in a secured and governed manner.
Logical Data Warehouse
Logical Data Warehouse enables most analytical use cases through integration of real-time and historical data from various sources using SQL.
Data Fabric
Data fabric allows to accelerate and enable more business use cases through metadata, automation, and orchestration.
Data Mesh
Data Mesh is a new socio-technical data management paradigm which challenges the traditional monolithic data architectures.
Data Governance
By combining metadata and data in real-time, data governance is implemented in a comprehensive data management framework for sustainble success.
Telecommunications
A central data access layer to cleansed, enriched, and governed data for all data consumers.
Healthcare
A data platform gives healthcare providers the transparency and automation needed to improve operational processes such as patient flow.
Retail and E-Commerce
The business needs of retailers and E-Commerces for complete and clean data that can be trusted are versatile: customer 360, lean inventory, etc.
Financial Services
Modern data architectures help financial services to meet the increasing requirements driven by digitalization and regulation.