mcube.data
Efficient Data Operations
Seamless data integration, contextual insights, and modular workflows
Semantic Discovery
Seamlessly extracting interconnected insights
- Semantic Discovery Platform: for querying, reporting, and exploration
- Conversion of unstructured data into actionable knowledge
- Knowledge Graph inference combined with Gen-AI to make complex
information more accessible - Ontology-Driven AI Search for deeper data contextualization
- Supporting FAIR principles for data management and data access
- Configurable knowledge model that can be adjusted dynamically
- Local deployments leveraging knowledge graph and LLMs in
proprietary/enterprise confidential environments
Comprehensive Data Operations
- Ingest Data for Data Warehouse/Data Lakes/Lakehouse – Structured, Unstructured.
- Batch Ingest with Rapid integration of data sources and complex transformations
- Real Time, Streaming Data Ingest
- Data Transformation on-the-fly
- Data Flow Automation
Lakehouse
Unlike traditional data architectures, mcube™ Lakehouse combines scalability of a data lake with the performance of a data warehouse providing a unified data architecture with seamless integration with AI capabilities.
- Leverage your existing data lake or build a new one
- Integrated workflows with metadata-governed data flow
- Built-in semantic layers and metadata governance, facilitating easier data discovery and contextualization
- With Gen-AI, traditional AI, and ML integrated, the Lakehouse enables multi-modal analytics
- Modular by design, enabling different teams to manage their own data domains while maintaining a unified system
- Multiple Interfaces for Data Dissemination
