Streaming website screenshot

Streaming

Streaming is a topic catalog of the protocols, platforms, and processing engines used to move and transform real-time, high-volume, often bidirectional data over the network. It indexes the canonical log-structured and broker systems (Apache Kafka, Apache Pulsar, Redpanda, NATS JetStream, AWS Kinesis, GCP Pub/Sub + Dataflow, Azure Event Hubs, Confluent Cloud, StreamNative), the over-the-wire streaming protocols exposed to API consumers (Server-Sent Events, WebSocket, gRPC streaming, GraphQL subscriptions), the change-data capture and connector frameworks that feed them (Kafka Connect, Debezium), and the stream-processing engines that consume them (Apache Flink, Spark Structured Streaming, Materialize, Tinybird, Bytewax, Apache Beam). This topic is distinguished from `events` and `async-apis`: streaming emphasizes real-time, high-throughput, partitioned, and often bidirectional pipes, rather than discrete event envelopes or static contract documents.

Streaming publishes 21 APIs on the APIs.io network. Tagged areas include Streaming, Real Time, Event Streaming, Change Data Capture, and Stream Processing.

The Streaming catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

Streaming’s developer surface includes code examples and 9 more developer resources.

19.2/100 emerging ▼ -5.2 Agent 2/100 human only Full breakdown ↓
scored 2026-07-28 · rubric v0.6
21 APIs
StreamingReal TimeEvent StreamingChange Data CaptureStream ProcessingServer Sent EventsWebSocketgRPCGraphQL SubscriptionsKafkaPulsarKinesisFlink

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-28 · rubric v0.6
Composite quality — 19.2/100 · emerging
Contract Quality 4.4 / 25
Developer Ergonomics 0.0 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Governance 8.3 / 12
Discoverability 6.5 / 10
Agent readiness — 2/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 7 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/streaming: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 21

Individual APIs this provider publishes, each with its own machine-readable definition.

Apache Kafka

Distributed, partitioned, replicated log. The reference open-source streaming platform; durable, ordered topics with consumer groups, exactly -once semantics, and the de facto w...

Apache Pulsar

Cloud-native, multi-tenant pub/sub and streaming platform with a tiered storage architecture (BookKeeper) that separates compute from storage, native geo-replication, and built-...

Redpanda

Kafka-API-compatible streaming platform implemented in C++ with no ZooKeeper/JVM dependency. Single binary, thread-per-core architecture, Raft consensus; positioned as a drop-in...

NATS JetStream

Persistence layer for the NATS messaging system providing at-least-once and exactly-once streaming, key/value and object stores, and durable consumers — designed for edge, IoT, ...

Amazon Kinesis

AWS managed family for real-time streaming: Kinesis Data Streams (shards, partition keys, 24h–365d retention), Kinesis Data Firehose (delivery to S3/Redshift/OpenSearch), and Ki...

Google Cloud Pub/Sub and Dataflow

GCP's managed messaging (Pub/Sub) and stream-processing (Dataflow, built on Apache Beam) stack. Pub/Sub provides at-least-once and exactly-once delivery with push/pull subscribe...

Azure Event Hubs

Microsoft's managed big-data streaming platform; Kafka-protocol compatible, partitioned, with Capture (delivery to ADLS/Blob) and tight integration with Azure Stream Analytics a...

Confluent Cloud

Managed Kafka by the original Kafka authors. Cluster, topic, connector, KSQL, Schema Registry, Stream Governance, and Flink offerings exposed via a Confluent Cloud REST API and ...

StreamNative

Managed Apache Pulsar as a service from Pulsar's original contributors, with multi-cloud clusters, Functions, sources/sinks, and a control-plane REST API.

Server-Sent Events (SSE)

One-directional HTTP-based streaming from server to client using the `text/event-stream` media type. Defined by the HTML Living Standard EventSource API; widely used for LLM tok...

WebSocket

Full-duplex, bidirectional streaming protocol over a single TCP connection, upgraded from HTTP. RFC 6455. Foundation for chat, collaborative apps, market data, and real-time con...

gRPC Streaming

gRPC defines four RPC styles, three of which are streaming: server streaming, client streaming, and bidirectional streaming, all multiplexed over HTTP/2. The default streaming s...

GraphQL Subscriptions

The GraphQL operation type for receiving a stream of updates over a long-lived transport (typically WebSocket via the graphql-ws or graphql-transport-ws sub-protocols, or SSE). ...

Kafka Connect

Framework and runtime for source/sink connectors that move data into and out of Kafka. Distributed mode runs a REST-controlled cluster of workers managing connector and task lif...

Debezium

Change-data-capture (CDC) platform that streams row-level database changes (Postgres, MySQL, MongoDB, SQL Server, Oracle, Cassandra) as Kafka records using each database's nativ...

Apache Flink

Distributed, stateful stream-processing engine with event-time semantics, windowing, watermarks, and exactly-once state. SQL, DataStream, and Table APIs; reference engine for su...

Spark Structured Streaming

Stream-processing API built on Spark SQL using a micro-batch (and experimental continuous) execution model. Treats a stream as an unbounded table.

Materialize

Operational data warehouse and streaming SQL database built on Differential Dataflow. Maintains incrementally updated materialized views over streaming sources with millisecond ...

Tinybird

Real-time analytics platform built on ClickHouse; ingests streams via HTTP, Kafka, or CDC, exposes SQL pipes as parameterized HTTP API endpoints with auth tokens.

Bytewax

Open-source Python-native stream-processing framework built on Timely Dataflow; targets data scientists and Python teams building real-time ML and data pipelines.

Apache Beam

Unified batch and streaming programming model. Beam pipelines run on multiple runners (Dataflow, Flink, Spark, Samza), defining the canonical event-time / watermark / window / t...

Scroll for all 21

GraphQL 1

GraphQL schemas published by this provider.

Streaming GraphQL API

The GraphQL operation type for receiving a stream of updates over a long-lived transport (typically WebSocket via the graphql-ws or graphql-transport-ws sub-protocols, or SSE). ...

GRAPHQL

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Streaming Context

49 classes · 11 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Streaming API Rules

5 rules · 4 warnings 1 info

SPECTRAL

JSON Schema 3

Standalone JSON Schema definitions for this provider's data models.

Stream Platform

16 properties

JSON SCHEMA

Stream Record

12 properties

JSON SCHEMA

Stream

16 properties

JSON SCHEMA

JSON Structure 1

JSON Structure definitions describing this provider's data shapes.

Streaming Stream Structure

15 properties

JSON STRUCTURE

Examples 3

Example request and response payloads for these APIs.

Streaming Stream Example

16 fields

EXAMPLE

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Streaming Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Streaming Vulnerability Disclosure

security.txt · contact published

SECURITY

Resources

Documentation 3

Reference material describing how the API behaves

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Build 3

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Source (apis.yml)

apis.yml Raw ↑
aid: streaming
name: Streaming
description: 'Streaming is a topic catalog of the protocols, platforms, and processing engines used to move and transform
  real-time, high-volume, often bidirectional data over the network. It indexes the canonical log-structured and broker systems
  (Apache Kafka, Apache Pulsar, Redpanda, NATS JetStream, AWS Kinesis, GCP Pub/Sub + Dataflow, Azure Event Hubs, Confluent
  Cloud, StreamNative), the over-the-wire streaming protocols exposed to API consumers (Server-Sent Events, WebSocket, gRPC
  streaming, GraphQL subscriptions), the change-data capture and connector frameworks that feed them (Kafka Connect, Debezium),
  and the stream-processing engines that consume them (Apache Flink, Spark Structured Streaming, Materialize, Tinybird, Bytewax,
  Apache Beam). This topic is distinguished from `events` and `async-apis`: streaming emphasizes real-time, high-throughput,
  partitioned, and often bidirectional pipes, rather than discrete event envelopes or static contract documents.'
type: Index
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
position: Consumer
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/streaming.png
tags:
- Streaming
- Real Time
- Event Streaming
- Change Data Capture
- Stream Processing
- Server Sent Events
- WebSocket
- gRPC
- GraphQL Subscriptions
- Kafka
- Pulsar
- Kinesis
- Flink
created: '2026-05-22'
modified: '2026-05-22'
url: https://raw.githubusercontent.com/api-evangelist/streaming/refs/heads/main/apis.yml
specificationVersion: '0.19'
apis:
- aid: streaming:apache-kafka
  name: Apache Kafka
  description: Distributed, partitioned, replicated log. The reference open-source streaming platform; durable, ordered topics
    with consumer groups, exactly -once semantics, and the de facto wire protocol for the streaming ecosystem. Native Kafka
    clients and a REST proxy expose the broker.
  humanURL: https://kafka.apache.org
  tags:
  - Streaming
  - Log
  - Open Source
  - Apache Software Foundation
  properties:
  - type: Documentation
    url: https://kafka.apache.org/documentation/
  - type: GitHubRepository
    url: https://github.com/apache/kafka
  - type: Topic
    url: https://github.com/api-evangelist/apache-kafka
- aid: streaming:apache-pulsar
  name: Apache Pulsar
  description: Cloud-native, multi-tenant pub/sub and streaming platform with a tiered storage architecture (BookKeeper) that
    separates compute from storage, native geo-replication, and built-in Functions for lightweight stream processing.
  humanURL: https://pulsar.apache.org
  tags:
  - Streaming
  - Pub Sub
  - Open Source
  - Apache Software Foundation
  properties:
  - type: Documentation
    url: https://pulsar.apache.org/docs/
  - type: GitHubRepository
    url: https://github.com/apache/pulsar
  - type: Topic
    url: https://github.com/api-evangelist/apache-pulsar
- aid: streaming:redpanda
  name: Redpanda
  description: Kafka-API-compatible streaming platform implemented in C++ with no ZooKeeper/JVM dependency. Single binary,
    thread-per-core architecture, Raft consensus; positioned as a drop-in for Kafka workloads.
  humanURL: https://redpanda.com
  tags:
  - Streaming
  - Kafka Compatible
  - Open Source
  properties:
  - type: Documentation
    url: https://docs.redpanda.com
  - type: GitHubRepository
    url: https://github.com/redpanda-data/redpanda
- aid: streaming:nats-jetstream
  name: NATS JetStream
  description: Persistence layer for the NATS messaging system providing at-least-once and exactly-once streaming, key/value
    and object stores, and durable consumers — designed for edge, IoT, and microservice topologies.
  humanURL: https://nats.io/
  tags:
  - Streaming
  - Messaging
  - Open Source
  - CNCF
  properties:
  - type: Documentation
    url: https://docs.nats.io/nats-concepts/jetstream
  - type: GitHubRepository
    url: https://github.com/nats-io/nats-server
- aid: streaming:aws-kinesis
  name: Amazon Kinesis
  description: 'AWS managed family for real-time streaming: Kinesis Data Streams (shards, partition keys, 24h–365d retention),
    Kinesis Data Firehose (delivery to S3/Redshift/OpenSearch), and Kinesis Video Streams for media. HTTP/2 SubscribeToShard
    for low-latency consumers.'
  humanURL: https://aws.amazon.com/kinesis/
  tags:
  - Streaming
  - AWS
  - Managed
  properties:
  - type: Documentation
    url: https://docs.aws.amazon.com/kinesis/
  - type: Topic
    url: https://github.com/api-evangelist/amazon-kinesis
- aid: streaming:gcp-pubsub
  name: Google Cloud Pub/Sub and Dataflow
  description: GCP's managed messaging (Pub/Sub) and stream-processing (Dataflow, built on Apache Beam) stack. Pub/Sub provides
    at-least-once and exactly-once delivery with push/pull subscribers; Dataflow runs windowed, watermark-aware Beam pipelines.
  humanURL: https://cloud.google.com/pubsub
  tags:
  - Streaming
  - GCP
  - Managed
  properties:
  - type: Documentation
    url: https://cloud.google.com/pubsub/docs
  - type: Documentation
    url: https://cloud.google.com/dataflow/docs
- aid: streaming:azure-event-hubs
  name: Azure Event Hubs
  description: Microsoft's managed big-data streaming platform; Kafka-protocol compatible, partitioned, with Capture (delivery
    to ADLS/Blob) and tight integration with Azure Stream Analytics and Functions.
  humanURL: https://azure.microsoft.com/en-us/products/event-hubs/
  tags:
  - Streaming
  - Azure
  - Kafka Compatible
  properties:
  - type: Documentation
    url: https://learn.microsoft.com/en-us/azure/event-hubs/
- aid: streaming:confluent-cloud
  name: Confluent Cloud
  description: Managed Kafka by the original Kafka authors. Cluster, topic, connector, KSQL, Schema Registry, Stream Governance,
    and Flink offerings exposed via a Confluent Cloud REST API and Terraform provider.
  humanURL: https://www.confluent.io/confluent-cloud/
  tags:
  - Streaming
  - Kafka
  - Managed
  properties:
  - type: Documentation
    url: https://docs.confluent.io/cloud/current/overview.html
  - type: Topic
    url: https://github.com/api-evangelist/confluent-the-data-streaming-platform
- aid: streaming:streamnative
  name: StreamNative
  description: Managed Apache Pulsar as a service from Pulsar's original contributors, with multi-cloud clusters, Functions,
    sources/sinks, and a control-plane REST API.
  humanURL: https://streamnative.io
  tags:
  - Streaming
  - Pulsar
  - Managed
  properties:
  - type: Documentation
    url: https://docs.streamnative.io
- aid: streaming:server-sent-events
  name: Server-Sent Events (SSE)
  description: One-directional HTTP-based streaming from server to client using the `text/event-stream` media type. Defined
    by the HTML Living Standard EventSource API; widely used for LLM token streams, dashboards, and live feeds where bidirectionality
    is not required.
  humanURL: https://html.spec.whatwg.org/multipage/server-sent-events.html
  tags:
  - Streaming
  - HTTP
  - Protocol
  - Standard
  properties:
  - type: Documentation
    url: https://html.spec.whatwg.org/multipage/server-sent-events.html
  - type: Documentation
    url: https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events
- aid: streaming:websocket
  name: WebSocket
  description: Full-duplex, bidirectional streaming protocol over a single TCP connection, upgraded from HTTP. RFC 6455. Foundation
    for chat, collaborative apps, market data, and real-time control planes.
  humanURL: https://datatracker.ietf.org/doc/html/rfc6455
  tags:
  - Streaming
  - Protocol
  - Standard
  - IETF
  properties:
  - type: Documentation
    url: https://datatracker.ietf.org/doc/html/rfc6455
  - type: Documentation
    url: https://developer.mozilla.org/en-US/docs/Web/API/WebSockets_API
- aid: streaming:grpc-streaming
  name: gRPC Streaming
  description: 'gRPC defines four RPC styles, three of which are streaming: server streaming, client streaming, and bidirectional
    streaming, all multiplexed over HTTP/2. The default streaming surface for service-to-service systems and Kubernetes-native
    APIs.'
  humanURL: https://grpc.io
  tags:
  - Streaming
  - Protocol
  - HTTP2
  - CNCF
  properties:
  - type: Documentation
    url: https://grpc.io/docs/what-is-grpc/core-concepts/
  - type: GitHubRepository
    url: https://github.com/grpc/grpc
- aid: streaming:graphql-subscriptions
  name: GraphQL Subscriptions
  description: The GraphQL operation type for receiving a stream of updates over a long-lived transport (typically WebSocket
    via the graphql-ws or graphql-transport-ws sub-protocols, or SSE). Used to push schema- defined deltas to clients.
  humanURL: https://spec.graphql.org/draft/#sec-Subscription
  tags:
  - Streaming
  - GraphQL
  - Standard
  properties:
  - type: Documentation
    url: https://spec.graphql.org/draft/#sec-Subscription
  - type: Documentation
    url: https://github.com/enisdenjo/graphql-ws
  - url: graphql/streaming-graphql.md
    type: GraphQL
- aid: streaming:kafka-connect
  name: Kafka Connect
  description: Framework and runtime for source/sink connectors that move data into and out of Kafka. Distributed mode runs
    a REST-controlled cluster of workers managing connector and task lifecycle.
  humanURL: https://kafka.apache.org/documentation/#connect
  tags:
  - Streaming
  - Connectors
  - Kafka
  - Open Source
  properties:
  - type: Documentation
    url: https://kafka.apache.org/documentation/#connect
  - type: Topic
    url: https://github.com/api-evangelist/kafka-connect
- aid: streaming:debezium
  name: Debezium
  description: Change-data-capture (CDC) platform that streams row-level database changes (Postgres, MySQL, MongoDB, SQL Server,
    Oracle, Cassandra) as Kafka records using each database's native replication log.
  humanURL: https://debezium.io
  tags:
  - Streaming
  - Change Data Capture
  - Open Source
  - Red Hat
  properties:
  - type: Documentation
    url: https://debezium.io/documentation/
  - type: GitHubRepository
    url: https://github.com/debezium/debezium
- aid: streaming:apache-flink
  name: Apache Flink
  description: Distributed, stateful stream-processing engine with event-time semantics, windowing, watermarks, and exactly-once
    state. SQL, DataStream, and Table APIs; reference engine for sub-second latency analytics on streams.
  humanURL: https://flink.apache.org
  tags:
  - Streaming
  - Stream Processing
  - Open Source
  - Apache Software Foundation
  properties:
  - type: Documentation
    url: https://nightlies.apache.org/flink/flink-docs-stable/
  - type: GitHubRepository
    url: https://github.com/apache/flink
  - type: Topic
    url: https://github.com/api-evangelist/apache-flink
- aid: streaming:spark-structured-streaming
  name: Spark Structured Streaming
  description: Stream-processing API built on Spark SQL using a micro-batch (and experimental continuous) execution model.
    Treats a stream as an unbounded table.
  humanURL: https://spark.apache.org/streaming/
  tags:
  - Streaming
  - Stream Processing
  - Open Source
  - Apache Software Foundation
  properties:
  - type: Documentation
    url: https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html
- aid: streaming:materialize
  name: Materialize
  description: Operational data warehouse and streaming SQL database built on Differential Dataflow. Maintains incrementally
    updated materialized views over streaming sources with millisecond freshness.
  humanURL: https://materialize.com
  tags:
  - Streaming
  - Streaming SQL
  - Database
  properties:
  - type: Documentation
    url: https://materialize.com/docs/
  - type: Topic
    url: https://github.com/api-evangelist/materialize
- aid: streaming:tinybird
  name: Tinybird
  description: Real-time analytics platform built on ClickHouse; ingests streams via HTTP, Kafka, or CDC, exposes SQL pipes
    as parameterized HTTP API endpoints with auth tokens.
  humanURL: https://www.tinybird.co
  tags:
  - Streaming
  - Real Time Analytics
  - ClickHouse
  properties:
  - type: Documentation
    url: https://www.tinybird.co/docs
- aid: streaming:bytewax
  name: Bytewax
  description: Open-source Python-native stream-processing framework built on Timely Dataflow; targets data scientists and
    Python teams building real-time ML and data pipelines.
  humanURL: https://bytewax.io
  tags:
  - Streaming
  - Stream Processing
  - Python
  - Open Source
  properties:
  - type: Documentation
    url: https://docs.bytewax.io
  - type: GitHubRepository
    url: https://github.com/bytewax/bytewax
- aid: streaming:apache-beam
  name: Apache Beam
  description: Unified batch and streaming programming model. Beam pipelines run on multiple runners (Dataflow, Flink, Spark,
    Samza), defining the canonical event-time / watermark / window / trigger semantics for stream processing.
  humanURL: https://beam.apache.org
  tags:
  - Streaming
  - Stream Processing
  - Open Source
  - Apache Software Foundation
  properties:
  - type: Documentation
    url: https://beam.apache.org/documentation/
  - type: GitHubRepository
    url: https://github.com/apache/beam
common:
- type: VulnerabilityDisclosure
  url: security/streaming-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/streaming-domain-security.yml
- type: JSONSchema
  url: json-schema/streaming-stream-schema.json
- type: JSONSchema
  url: json-schema/streaming-stream-record-schema.json
- type: JSONSchema
  url: json-schema/streaming-stream-platform-schema.json
- type: JSONLD
  url: json-ld/streaming-context.jsonld
- type: Vocabulary
  url: vocabulary/streaming-vocabulary.yml
- type: Examples
  url: examples/streaming-stream-example.json
- type: Examples
  url: examples/streaming-stream-record-example.json
- type: Examples
  url: examples/streaming-stream-platform-example.json
include: []
maintainers:
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