Kafka Streams

GPTKB entity

Statements (60)
Predicate Object
gptkbp:instance_of gptkb:streaming_service
gptkbp:allows windowed joins
gptkbp:built Kafka's log-based architecture
gptkbp:can unbounded data streams
gptkbp:can_be_combined_with machine learning models
gptkbp:can_be_extended_by custom processors
gptkbp:can_be_used_for real-time analytics
gptkbp:can_be_used_in Java applications
gptkbp:can_be_used_to aggregate data
filter data
monitor data streams
join streams
gptkbp:can_be_used_with gptkb:KSQL
gptkb:Docker
gptkbp:can_handle out-of-order events
gptkbp:deployment cloud platforms
gptkbp:developed_by gptkb:Confluent
gptkbp:enables stream-table duality
https://www.w3.org/2000/01/rdf-schema#label Kafka Streams
gptkbp:integrates_with gptkb:Apache_Kafka
gptkbp:is_available_on gptkb:Kafka_0.10.0.0
gptkbp:is_based_on Kafka's publish-subscribe model
gptkbp:is_compatible_with gptkb:Kubernetes
gptkb:Kafka_Connect
gptkbp:is_designed_for microservices architecture
gptkbp:is_documented_in official documentation
gptkbp:is_integrated_with gptkb:Spring_Framework
data lakes
gptkbp:is_open_source gptkb:true
gptkbp:is_optimized_for low-latency processing
streaming analytics
gptkbp:is_part_of Apache Kafka ecosystem
real-time data pipelines
data streaming solutions
gptkbp:is_supported_by gptkb:Confluent_Cloud
gptkbp:is_used_by large enterprises
gptkbp:is_used_for data enrichment
gptkbp:is_used_in gptkb:financial_services
gptkbp:offers fault tolerance
gptkbp:provides high throughput
stream processing capabilities
interactive queries
stateful stream processing
stream processing DSL
stream processing guarantees
gptkbp:suitable_for data transformation
event-driven applications
log processing
Io T applications
gptkbp:supports scalability
schema evolution
custom serialization
event-time processing
exactly-once semantics
multi-threaded processing
gptkbp:used_for real-time data processing
gptkbp:uses Kafka topics
gptkbp:written_in gptkb:Java
gptkbp:bfsParent gptkb:Apache_Kafka
gptkbp:bfsLayer 4