Azure Event Hubs

Real-time streaming data collection, processing, and analytics platform with Data Streams, Data Firehose, Video Streams, and Kinesis Data Analytics sub-services

Fully managed Apache Kafka and Kafka Connect service with provisioned and serverless deployment options, tiered storage, IAM-based auth, and the MSK Replicator for cross-region and cross-account cluster replication

Fully managed publish/subscribe messaging and notifications with fan-out to SQS, Lambda, HTTPS endpoints, mobile push notifications, SMS, and email delivery

Fully managed message queuing for decoupling microservices, with standard (at-least-once) and FIFO (exactly-once) queues, dead-letter queues, and long polling

Serverless event bus for application integration with over 90 SaaS partner event sources, custom event buses, schema registry, and pattern-based routing rules

Globally-distributed message queue with per-producer fan-out to multiple consumers, at-least-once delivery, configurable batching and retries, automatic dead-letter queues, and zero egress charges between Queues and Workers

Ingest streaming event data over HTTP or from Worker bindings, transform with SQL, and write the result to R2 as Apache Iceberg tables or partitioned Parquet/JSON files for downstream warehouse and analytics tools. Open-beta as of 2026.

Managed Apache Kafka clusters for real-time event streaming with topic management, schema-registry integration, and SecNumCloud-qualified onshore data residency

Global real-time messaging and event ingestion service with at-least-once delivery, push and pull subscriptions, message ordering, and exactly-once delivery option

Fully-managed Apache Kafka clusters for real-time data pipelines, event sourcing, model scoring, messaging, and streaming analytics — Google's first-party answer to Confluent Cloud and AWS MSK, GA at Cloud Next 2025 with native VPC, IAM, and Pub/Sub integration

Managed Apache Kafka clusters with automatic provisioning, multi-AZ replication, and integration with Heroku Connect for Salesforce data streams

Fully managed Apache Kafka as a service with schema registry, MirrorMaker 2 geo-replication, Kafka Connect catalogue, REST producers for non-Kafka clients, and private networking across IBM Cloud

Fully managed IBM MQ messaging service delivering reliable, once-only delivery across point-to-point and pub/sub topologies, with clients for Java, JMS, .NET, Go, Python, and C, plus REST and MQTT bridges for legacy and IoT workloads

Managed Apache Kafka clusters with broker provisioning, topic management, and integration with IONOS Logging and Monitoring; built for streaming-data and event-driven workloads needing EU data residency

OCI-native event routing service that delivers CloudEvents-compliant service events to OCI Functions, Notifications, Streaming, or other OCI services via rule-based matching, enabling event-driven architectures across OCI estates

Apache Kafka-compatible managed streaming service. Producers and consumers use standard Kafka client libraries; OCI manages partitioning, replication, and retention. Integrates with OCI Functions and Service Connector Hub for processing.

Standalone managed Apache Kafka clusters with topic management, schema registry integration, and Connect-based source/sink connectors — promoted from a sub-feature of Public Cloud Databases to match the hyperscaler convention (MSK, Event Hubs, Pub/Sub are all standalone products)

Continuous data ingestion into Snowflake from cloud storage (file-based Snowpipe) or directly from row-level streams (Snowpipe Streaming) with sub-10s latency and serverless compute

Managed RabbitMQ clusters for AMQP-based messaging with queue management, exchange routing, and HA replication — Germany-only data residency