Amazon Managed Service for Apache Flink vs Apache Samza
Amazon Managed Service for Apache Flink
aws.amazon.com
Apache Samza
samza.apache.orgSide by side
| Figure | Amazon Managed Service for Apache Flink | Apache Samza |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Streaming Analytics Software | 7.5 (#15) | 7.8 (#11) |
| Spec score · Stream Analytics Software | 7.5 (#17) | 7.9 (#14) |
| Spec score · Stream Processing Software | 7.5 (#17) | 7.8 (#13) |
| Integrations | Listed integrations include Amazon S3, Amazon MSK, Amazon OpenSearch Service, DynamoDB, Kinesis Data Streams, Kinesis Data Firehose, CloudWatch, and AWS Glue Schema Registry. | Built-in integrations include Apache Kafka, AWS Kinesis, Azure Event Hubs, Elasticsearch, and Apache Hadoop, and custom sources can also be integrated. |
| Purpose | The service runs Apache Flink applications to transform and analyze streaming data in real time. | Apache Samza is a distributed stream-processing framework for building stateful applications that process data in real time from multiple sources. |
| Security | Data at rest and in transit is encrypted in the service, and AWS describes security as a shared responsibility between AWS and the customer. | The background documentation says Samza works with YARN, which supports Hadoop’s security model, and uses Linux cgroups for resource isolation. |
Plans
Amazon Managed Service for Apache Flink
- Usage-based pricingPrice not published
In their own words
Amazon Managed Service for Apache Flink
Amazon Managed Service for Apache Flink has no write-up on Specifiction yet; its figures are above.
Apache Samza
Apache Samza is a free, open-source distributed framework for applications that process data from multiple sources in real time. It supports stateless and stateful workloads, using a scalable, fault-tolerant state store for retained application state. Developers can use the high-level Streams API, lower-level Task API, Samza SQL or an Apache Beam API; Beam support for Python and Go is described as work in progress. Java and Scala applications can embed Samza as a lightweight client library. Built-in integrations include Apache Kafka, AWS Kinesis, Azure Event Hubs, Elasticsearch and Apache Hadoop, with custom sources also supported. Samza runs on YARN, Kubernetes or as a standalone library across public-cloud, containerized and bare-metal environments. Host affinity and incremental checkpointing help recover tasks and their state after failures. Processing is at least once. The project supports SQL processing and event-time windows, and its documentation describes applications with several terabytes of state and thousands of cores. Samza is self-hosted on Linux and distributed as source artifacts and through Maven; there is no binary release at this time.