aid: apache-kafka
name: Apache Kafka
description: Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance
  data pipelines, streaming analytics, data integration, and mission-critical applications. It provides a REST Proxy API,
  Kafka Connect REST API, and AsyncAPI for event streaming.
type: Index
position: Consumer
access: 3rd-Party
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
- Distributed Systems
- Event Streaming
- Messaging
- Open Source
- Pub-Sub
created: '2025-06-05'
modified: '2026-05-19'
url: https://raw.githubusercontent.com/api-evangelist/apache-kafka/refs/heads/main/apis.yml
specificationVersion: '0.19'
apis:
- aid: apache-kafka:kafka-rest-proxy-api
  name: Kafka REST Proxy API
  description: The Kafka REST Proxy provides a RESTful interface to a Kafka cluster for producing and consuming messages,
    managing topics, partitions, consumer groups, and viewing cluster state without native Kafka clients.
  humanURL: https://docs.confluent.io/platform/current/kafka-rest/
  baseURL: http://localhost:8082
  tags:
  - Consumer Groups
  - Proxy
  - REST
  - Topics
  properties:
  - type: Documentation
    url: https://docs.confluent.io/platform/current/kafka-rest/api.html
  - type: OpenAPI
    url: openapi/kafka-rest-proxy.yml
  - type: NaftikoCapability
    url: capabilities/kafka-rest-proxy-acl.yaml
  - type: NaftikoCapability
    url: capabilities/kafka-rest-proxy-broker.yaml
  - type: NaftikoCapability
    url: capabilities/kafka-rest-proxy-cluster.yaml
  - type: NaftikoCapability
    url: capabilities/kafka-rest-proxy-consumer-group.yaml
  - type: NaftikoCapability
    url: capabilities/kafka-rest-proxy-partition.yaml
  - type: NaftikoCapability
    url: capabilities/kafka-rest-proxy-records.yaml
  - type: NaftikoCapability
    url: capabilities/kafka-rest-proxy-topic.yaml
- aid: apache-kafka:kafka-connect-api
  name: Kafka Connect REST API
  description: Kafka Connect REST API for managing connectors, their configurations, tasks, and offsets for integrating Kafka
    with external data systems including databases, object stores, and search indexes.
  humanURL: https://kafka.apache.org/documentation/#connect_rest
  baseURL: http://localhost:8083
  tags:
  - Connect
  - Connectors
  - Integration
  properties:
  - type: Documentation
    url: https://kafka.apache.org/documentation/#connect_rest
  - type: OpenAPI
    url: openapi/kafka-connect.yml
  - type: NaftikoCapability
    url: capabilities/kafka-connect-cluster.yaml
  - type: NaftikoCapability
    url: capabilities/kafka-connect-connectors.yaml
  - type: NaftikoCapability
    url: capabilities/kafka-connect-offsets.yaml
  - type: NaftikoCapability
    url: capabilities/kafka-connect-plugins.yaml
  - type: NaftikoCapability
    url: capabilities/kafka-connect-tasks.yaml
- aid: apache-kafka:kafka-messaging-api
  name: Apache Kafka Messaging API
  description: The core Kafka messaging protocol for producing and consuming records to/from topics using the native Kafka
    binary protocol, supporting exactly-once semantics, compaction, and partitioned log storage.
  humanURL: https://kafka.apache.org/documentation/#producerapi
  tags:
  - Messaging
  - Pub-Sub
  - Streaming
  properties:
  - type: Documentation
    url: https://kafka.apache.org/documentation/
  - type: AsyncAPI
    url: asyncapi/kafka-messaging.yml
common:
- type: LinkedIn
  url: https://www.linkedin.com/company/apachekafka
- type: GitHubOrganization
  url: https://github.com/apache
- type: GitHubRepository
  url: https://github.com/apache/kafka
- type: Documentation
  url: https://kafka.apache.org/documentation/
- type: GettingStarted
  url: https://kafka.apache.org/quickstart
- type: TermsOfService
  url: https://www.apache.org/licenses/LICENSE-2.0
- type: Versioning
  url: https://kafka.apache.org/downloads
- type: SpectralRules
  url: rules/apache-kafka-spectral-rules.yml
- type: Vocabulary
  url: vocabulary/apache-kafka-vocabulary.yaml
- type: Features
  data:
  - name: High Throughput
    description: Handle millions of messages per second with low latency at massive scale.
  - name: Exactly-Once Semantics
    description: Guarantee exactly-once message delivery with idempotent producers and transactional APIs.
  - name: Distributed Replication
    description: Automatic replication across brokers for fault tolerance and high availability.
  - name: Stream Processing
    description: Real-time stream processing via Kafka Streams library and KSQL.
  - name: Connector Ecosystem
    description: 200+ pre-built Kafka Connect connectors for databases, clouds, and SaaS.
  - name: Log Compaction
    description: Retain the latest value for each key with topic log compaction.
  - name: Consumer Groups
    description: Horizontally scalable consumers with automatic partition rebalancing.
- type: UseCases
  data:
  - name: Event-Driven Architecture
    description: Build event-driven microservices with reliable message delivery.
  - name: Data Pipeline
    description: Move data between systems at scale with exactly-once delivery guarantees.
  - name: Real-Time Analytics
    description: Process and analyze event streams in real time with Kafka Streams.
  - name: Log Aggregation
    description: Centralize application and infrastructure logs for analysis and alerting.
  - name: CDC (Change Data Capture)
    description: Capture database changes and stream them to data warehouses and caches.
- type: Integrations
  data:
  - name: Apache Spark
    description: Spark Structured Streaming integration for batch and streaming analytics.
  - name: Apache Flink
    description: Native Flink Kafka connector for low-latency stream processing.
  - name: Debezium
    description: CDC platform using Kafka Connect to capture database change events.
  - name: Elasticsearch
    description: Kafka Connect Elasticsearch sink for indexing event data.
  - name: Amazon S3
    description: Kafka Connect S3 sink for archiving event streams to object storage.
  - name: Apache Hadoop
    description: HDFS sink connector for streaming data into Hadoop data lake.
maintainers:
- FN: Kin Lane
  email: info@apievangelist.com