Amazon Managed Streaming for Apache Kafka vs Hadron
Amazon Managed Streaming for Apache Kafka
aws.amazon.comHadron
hadron-project.github.ioSide by side
| Figure | Amazon Managed Streaming for Apache Kafka | Hadron |
|---|---|---|
| Price from | $0.11/mo | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | Yes | — |
| API | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 5 | 0 |
| Spec score · Event Streaming Platforms | 7.9 (#10) | 7.1 (#17) |
| Intended users | AWS describes MSK as intended for developers and DevOps or platform engineers building streaming data applications on AWS. | The guide presents Hadron for distributed applications with many microservices and event or telemetry signals, and includes a local development use case. |
| Monitoring | CloudWatch provides a default set of over 50 metrics at no additional cost; enhanced broker and topic metrics are billed at standard CloudWatch rates. | Hadron components expose Prometheus metrics over HTTP, with documented integration options including Prometheus scraping and the OTEL collector. |
| Purpose | Amazon MSK manages Apache Kafka infrastructure and operations so developers and platform engineers can run Kafka on AWS without becoming experts in operating it. | Hadron is a distributed event storage and messaging system for ingesting events and working with them in multi-stage workflows. |
Plans
Amazon Managed Streaming for Apache Kafka
- MSK Connect$0.11 a month
- MSK Provisioned — Standard brokers$0.20 a month
- MSK Replicator$0.30 a month
- MSK Provisioned — Express brokers$0.41 a month
- MSK Serverless$0.75 a month
In their own words
Amazon Managed Streaming for Apache Kafka
Amazon Managed Streaming for Apache Kafka (MSK) manages Apache Kafka infrastructure on AWS for developers and platform engineers. It provisions and configures clusters, replaces failed servers, coordinates patches and upgrades, and handles monitoring and scaling. Provisioned clusters let customers choose broker and storage options, while Serverless clusters adjust resources to workload needs. MSK keeps compatibility with the Apache Kafka client protocol, so existing Kafka applications and tools can work without application code changes. Integrations include Amazon S3, Redshift, Managed Service for Apache Flink, Lambda, Glue Schema Registry, and Database Migration Service. Clusters span multiple Availability Zones, with three as the default, and the service-level agreement specifies three 9s of availability. Security includes IAM, SASL/SCRAM or mutual TLS for Provisioned clusters, and encryption in transit and at rest. CloudWatch supplies over 50 default metrics at no additional cost. MSK is paid, with separate charges possible for storage, processing, connectivity, and enhanced metrics.
Hadron
Hadron is an open-source, self-hosted distributed data-storage and messaging system for ingesting events and coordinating multi-stage workflows. Streams are append-only logs with absolute ordering within each partition and horizontal scaling. Pipelines orchestrate stages over Stream data and can begin when an event matches a configured trigger. Exchanges handle ephemeral messages, while Endpoints provide general-purpose RPC handlers. Streams, pipeline inputs and outputs, and ephemeral messages use the CloudEvents 1.0 model. Hadron is designed for Kubernetes and installed with Helm and Kubernetes configuration resources; the quick start requires Helm 3.7.0 or later for OCI usage. Stream availability continues while at least one partition runs. Retention can use a configurable time policy, defaulting to seven days, or retain data indefinitely. Producers and Consumers may be written in any language, with an official Rust client and CLI. Components expose Prometheus metrics over HTTP, including Prometheus scraping and OTEL collector integrations. Token-based access creates JWTs signed by the Operator’s private RSA key, with resource-level permissions. External CLI access is still in progress, and Hadron Cloud is under construction.