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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.
21 APIs
Streaming Real Time Event Streaming Change Data Capture Stream Processing Server Sent Events WebSocket gRPC GraphQL Subscriptions Kafka Pulsar Kinesis Flink
On this page
Kin Score
APIs 21
GraphQL 1
Vocabularies 1
Spectral Rules 1
JSON Schema 3
JSON Structure 1
Examples 3
Security Posture 2
Resources 10
apis.yml
0 Operational Transparency
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
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
Individual APIs this provider publishes, each with its own machine-readable definition.
Distributed, partitioned, replicated log. The reference open-source streaming platform; durable, ordered topics with consumer groups, exactly -once semantics, and the de facto w...
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-...
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...
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, ...
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...
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...
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...
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 ...
Managed Apache Pulsar as a service from Pulsar's original contributors, with multi-cloud clusters, Functions, sources/sinks, and a control-plane REST API.
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...
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 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...
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). ...
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...
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...
Distributed, stateful stream-processing engine with event-time semantics, windowing, watermarks, and exactly-once state. SQL, DataStream, and Table APIs; reference engine for su...
Stream-processing API built on Spark SQL using a micro-batch (and experimental continuous) execution model. Treats a stream as an unbounded table.
Operational data warehouse and streaming SQL database built on Differential Dataflow. Maintains incrementally updated materialized views over streaming sources with millisecond ...
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.
Open-source Python-native stream-processing framework built on Timely Dataflow; targets data scientists and Python teams building real-time ML and data pipelines.
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 schemas published by this provider.
JSON-LD contexts and semantic vocabularies used across these APIs.
Spectral governance rulesets for linting and validating these APIs.
Standalone JSON Schema definitions for this provider's data models.
JSON Structure definitions describing this provider's data shapes.
Example request and response payloads for these APIs.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
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)
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:
- FN: Kin Lane
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