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The best Azure Event Hubs alternatives
The rest of Best Event Streaming Platforms, in this site's order: each with what it costs, where it runs and its record score.
It suits teams that want managed Apache Kafka across supported cloud providers.
Lightstreamer may suit teams building business-critical real-time applications in areas such as finance, gaming, aerospace, logistics, and media.
Confluent Cloud suits teams building real-time streaming, event-driven applications, analytics, or AI/ML workloads.
Solace describes the Event Broker for enterprises with demanding messaging and streaming needs, and for connecting applications, customers, partners,…
RocketMQ suits developers and operators building asynchronous messaging systems who can run and configure self-hosted software.
Redpanda suits teams building event-streaming systems that want Kafka API compatibility and multiple deployment choices.
Wisembly may suit organizers coordinating in-person, virtual, or hybrid events who need registration, attendee engagement, and reporting tools.
RisingWave may suit teams building streaming data pipelines with SQL and PostgreSQL-compatible tools.
Apache Pulsar may suit organizations building distributed messaging or streaming systems that need self-hosting, multi-region replication, or…
Keen may suit developers building in-product analytics for SaaS customers, from startups to Fortune 500 businesses.
MSK is intended for developers and DevOps or platform engineers building streaming data applications on AWS.
It suits teams working across real-time systems, data platforms, and AI initiatives.
AutoMQ fits teams needing Kafka-compatible streaming with cloud-object storage, hybrid deployment, connectors, and lakehouse table access.
It suits teams building streaming, pub/sub, queuing, real-time processing, or change-data-capture workloads.
Pravega is suited to developers building streaming or real-time applications, handling IoT data, or running batch and interactive analytics on large…
Kafka suits teams building event-streaming systems for data pipelines, integration, analytics, and related applications.
It suits developers building event pipelines into PostgreSQL or other listed sinks.
It suits teams building real-time streaming, analytics, event-driven, or machine-learning applications on AWS.
