Red Hat Open Shift Streams for Apache Kafka
GPTKB entity
Statements (63)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:streaming_service
|
| gptkbp:bfsLayer |
6
|
| gptkbp:bfsParent |
gptkb:Open_Shift_AI
|
| gptkbp:allows |
stream processing
|
| gptkbp:based_on |
gptkb:park
|
| gptkbp:constructed_in |
open-source technology
|
| gptkbp:developed_by |
gptkb:Red_Hat
|
| gptkbp:enables |
event-driven architecture
microservices architecture real-time analytics |
| gptkbp:facilitates |
data ingestion
|
| https://www.w3.org/2000/01/rdf-schema#label |
Red Hat Open Shift Streams for Apache Kafka
|
| gptkbp:integrates_with |
gptkb:Red_Hat_Open_Shift
|
| gptkbp:is_available_in |
multiple regions
|
| gptkbp:is_available_on |
cloud platforms
|
| gptkbp:is_compatible_with |
gptkb:fortification
various programming languages data lakes |
| gptkbp:is_integrated_with |
machine learning frameworks
|
| gptkbp:is_optimized_for |
containerized applications
|
| gptkbp:is_part_of |
cloud-native applications
data-driven decision making data streaming solutions Red Hat Open Shift ecosystem |
| gptkbp:is_scalable |
large data volumes
|
| gptkbp:is_used_by |
enterprises
|
| gptkbp:is_used_for |
customer engagement
data analysis business intelligence data migration real-time monitoring log aggregation event sourcing |
| gptkbp:offers |
gptkb:software
high availability real-time data processing scalability security features user-friendly interface cost-effective solutions |
| gptkbp:provides |
API access
data processing capabilities monitoring tools real-time insights data governance features data retention policies client libraries streaming data storage managed Kafka service streaming connectors |
| gptkbp:suitable_for |
Io T applications
|
| gptkbp:supports |
data integration
data transformation data visualization multi-tenancy data replication batch processing data serialization formats real-time data streaming streaming analytics data orchestration streaming ETL streaming data pipelines |