Keen Data Lakehouse
Data Governance
Quickly organize data assets, unify data standards, and improve data quality.
Lakehouse
Storage-Compute Separation
Multi-source multi-modal data convergence and integration, easier flexible scaling; reduces data migration work to ensure data reliability, consistency and real-time performance; supports rich computing engines; better data management capabilities and more efficient query performance.
ACID Transaction
Supports transactions, implements consistency and isolation, and concurrent append and read operations, supports data upload, modification, query and other operations with complete ACID characteristics, enhancing transactional processing capabilities.
Batch-Stream Integration
Adopts higher-performance batch-stream integration technology, supporting one data framework compatible with both offline and real-time computing; can use batch processing to analyze data streams; provides batch and stream processing linkage and conversion, as well as real-time and offline linkage analysis.
Data Fabric
Can dynamically manage different data sources in hybrid cloud and multi-cloud environments, enterprises can quickly establish business-specific data architecture and data services for business scenarios, providing high-quality data to support applications, analytics, and business process automation.
One-stop, Full Process
Provides one-stop development experience with unified data resources, unified development process, and unified intelligent scheduling; supports online collaboration and development of large-scale projects across different users, teams, and projects.
DataOps
Features integrated data operations, implementing DataOps best practices through automated AI big data technology engineering capabilities for continuous integration, continuous development, and continuous operations of data.
End-to-End, Fully Visualized Product Matrix
Application Scenarios
