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
|