Kinetica

GPTKB entity

Statements (68)
Predicate Object
gptkbp:instanceOf gptkb:Database_Management_System
gptkbp:deployedTo Cloud, On-premises
gptkbp:designedFor real-time analytics
gptkbp:developedBy gptkb:Kinetica,_Inc.
https://www.w3.org/2000/01/rdf-schema#label Kinetica
gptkbp:keyIssues Event-driven architecture
Scalability
Collaboration tools
High availability
User-friendly interface
APIs for developers
Machine learning integration
Security features
Customizable workflows
Data governance features
Data quality management
Data transformation capabilities
Backup and recovery options
Data visualization tools
Real-time dashboards
Data lineage tracking
Performance optimization tools
Support for hybrid cloud environments
Support for data visualization
Real-time alerts and notifications
Support for data warehousing
Support for graph data
Support for various data formats
Data archiving solutions
Support for RESTful APIs
Support for data pipelines
Support for containerization
Support for microservices
Support for machine learning frameworks
Data ingestion capabilities
Geospatial analytics
Support for data governance
Support for data lakes
Support for data modeling
Integration with big data platforms
Multi-model support
Support for data cataloging
Support for data exploration
Support for data integration
Support for data security
Support for data collaboration
Support for data privacy
Support for data sharing
Support for time-series data
Support for data compliance
Support for data mining
Data federation capabilities
Interactive query capabilities
Streaming data processing
Support for data orchestration
Support for data science workflows
Support for data storytelling
Support for predictive analytics
Support for prescriptive analytics
Support for semi-structured data
Support for structured data
Support for unstructured data
Integration_with_BI_tools
gptkbp:language gptkb:C++
gptkbp:releaseYear 2015
gptkbp:supports gptkb:SQL
gptkbp:type In-memory database
gptkbp:uses GPU_acceleration