Apache Kafka as a service

GPTKB entity

Statements (60)
Predicate Object
gptkbp:instance_of gptkb:park
gptkbp:bfsLayer 5
gptkbp:bfsParent gptkb:Confluent_Cloud
gptkbp:based_on distributed architecture
gptkbp:can_be_used_with gptkb:park
machine learning frameworks
gptkbp:controls millions of messages per second
gptkbp:deployment cloud platforms
on-premises environments
gptkbp:developed_by gptkb:Linked_In
gptkbp:enables event-driven architectures
https://www.w3.org/2000/01/rdf-schema#label Apache Kafka as a service
gptkbp:integrates_with stream processing frameworks
gptkbp:is_accessible_by gptkb:Kafka_Connect
gptkbp:is_compatible_with RESTAP Is
gptkbp:is_designed_for high availability
gptkbp:is_integrated_with gptkb:drug
data lakes
business intelligence tools
gptkbp:is_known_for low latency
its durability
gptkbp:is_monitored_by gptkb:Kafka_Manager
gptkbp:is_often_associated_with No SQL databases
gptkbp:is_often_used_in gptkb:financial_services_company
telecommunications.
gptkbp:is_open_source gptkb:software
gptkbp:is_part_of gptkb:software_framework
gptkbp:is_scalable horizontally
gptkbp:is_used_by large enterprises
gptkbp:is_used_for data synchronization
data replication
system monitoring
message queuing
log aggregation
event sourcing
building data pipelines
streaming ETL
gptkbp:is_used_in microservices architecture
Io T applications
gptkbp:managed_by service providers
web interfaces
gptkbp:offers data retention policies
gptkbp:provides high throughput
client libraries
real-time data streaming
streaming analytics
gptkbp:reliability by design
gptkbp:scales adding brokers
gptkbp:security_features gptkb:SSL/_TLS
gptkbp:setting message retention
data compression
gptkbp:suitable_for real-time analytics
big data applications
data streaming use cases
gptkbp:supports data integration
multi-tenancy
publish-subscribe messaging
multiple consumers
exactly-once processing
gptkbp:uses topics for message organization