Map R Event Store

GPTKB entity

Statements (72)
Predicate Object
gptkbp:instance_of gptkb:concert_tour
gptkbp:allows Event-driven architecture
gptkbp:constructed_in Distributed architecture
gptkbp:developed_by gptkb:Map_R_Technologies
gptkbp:enables Stream processing
Data ingestion
gptkbp:features High availability
https://www.w3.org/2000/01/rdf-schema#label Map R Event Store
gptkbp:integrates_with gptkb:park
gptkbp:is_available_in On-premises deployment
gptkbp:is_available_on Cloud platforms
gptkbp:is_compatible_with Data warehouses
Machine learning frameworks
Data modeling tools
Data science tools
No SQL databases
gptkbp:is_designed_for Real-time analytics
Complex event processing
High performance
gptkbp:is_integrated_with ETL tools
Business intelligence tools
Data orchestration tools
gptkbp:is_optimized_for High throughput
Latency-sensitive applications
Io T applications
gptkbp:is_part_of gptkb:Map_R_Converged_Data_Platform
Data integration solutions
Data lake architecture
gptkbp:is_scalable Petabytes of data
gptkbp:is_used_by Enterprises
gptkbp:is_used_for Data migration
Predictive analytics
Log management
Social media analytics
gptkbp:is_used_in gptkb:financial_services_company
Healthcare analytics
Big Data applications
Retail analytics
gptkbp:offers Data replication
User-friendly interface
Data visualization tools
Customizable dashboards
Real-time dashboards
Data export options
Data enrichment capabilities
AP Is for integration
gptkbp:provides Real-time data processing
Scalability
Data security
Data lineage
Data transformation capabilities
Monitoring tools
User access controls
Backup solutions
Data quality features
gptkbp:supports gptkb:park
Data analytics
Microservices architecture
Batch processing
Data governance
Data retention policies
Multi-tenancy
Data sharing
Data archiving
Data collaboration
Data exploration
Data streaming
Event sourcing
Data federation
gptkbp:type gptkb:computer
gptkbp:bfsParent gptkb:Map_R_Converged_Data_Platform
gptkbp:bfsLayer 6