Streaming / Messaging
7 providers in this category.
Streaming and messaging platforms move events between systems in real time, powering data pipelines, event-driven architectures, and live analytics with durable, ordered logs. They suit teams decoupling services or feeding analytics and ML with continuous data rather than batch loads. Many are Kafka-compatible so existing producers and consumers work unchanged; some offer serverless, fully managed delivery.
Companies
Neutral ordering. Not a recommendation.
Amazon Kinesis
aws.amazon.com/kinesis
Amazon Kinesis is AWS's service for collecting, processing, and analyzing real-time streaming data, including Data Streams and Firehose.
Amazon MSK
aws.amazon.com/msk
Amazon MSK is AWS's managed service for Apache Kafka, handling provisioning, patching, and operations so teams can run Kafka on AWS without managing clusters.
Azure Event Hubs
azure.microsoft.com/en-us/products/event-hubs
Azure Event Hubs is Microsoft's managed event ingestion service for streaming large volumes of events, targeting teams building streaming pipelines on Azure.
Confluent Cloud
www.confluent.io
Confluent Cloud is a managed service for Apache Kafka, built by Kafka's original creators, providing event streaming with added tooling and connectors.
Google Pub/Sub
cloud.google.com/pubsub
Google Pub/Sub is Google Cloud's fully managed, serverless messaging service for ingesting and delivering event streams at scale.
Redpanda
redpanda.com
Redpanda is a Kafka-compatible streaming data platform written in C++ that runs without a JVM or ZooKeeper, aiming for high performance and simpler operations.
StreamNative
streamnative.io
StreamNative is a streaming platform built on Apache Pulsar by Pulsar's creators, offering managed messaging and event streaming.
