Amazon Managed Service for Apache Flink vs Apache Storm
Amazon Managed Service for Apache Flink
aws.amazon.comApache Storm
storm.apache.orgSide by side
| Figure | Amazon Managed Service for Apache Flink | Apache Storm |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Streaming Analytics Software | 7.5 (#15) | 8.0 (#8) |
| Spec score · Stream Analytics Software | 7.5 (#17) | 8.1 (#9) |
| Spec score · Stream Processing Software | 7.5 (#17) | 8.1 (#9) |
| Integrations | Listed integrations include Amazon S3, Amazon MSK, Amazon OpenSearch Service, DynamoDB, Kinesis Data Streams, Kinesis Data Firehose, CloudWatch, and AWS Glue Schema Registry. | Out-of-the-box integrations include Apache Kafka, HDFS, JDBC databases, JMS, and Redis. |
| Purpose | The service runs Apache Flink applications to transform and analyze streaming data in real time. | Apache Storm is a distributed realtime computation system for reliably processing unbounded data streams. |
| 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. | Storm supports pluggable Kerberos/SASL authentication and SimpleACLAuthorizer authorization, both disabled by default. |
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 Storm
Apache Storm is a distributed system for computing over unbounded data streams in real time. It uses spouts, bolts, and topologies to assemble multi-stage computations, supporting realtime analytics, online machine learning, continuous computation, distributed RPC, and ETL. The project describes Storm as scalable and fault-tolerant, with guaranteed data processing, and reports a benchmark above one million tuples per second per node. Integrations include Apache Kafka, HDFS, JDBC databases, JMS, and Redis. Developers can work in local mode in-process or submit topologies to a remote cluster. Storm supports stateful processing and lists JavaScript, Python, Ruby, and C# among supported languages. It is free under Apache License, Version 2.0; source and binary distributions are available, along with Maven Central and an official Docker image. The current release is 3.1.0. Security options include Kerberos/SASL authentication, SimpleACLAuthorizer authorization, and TLS for Thrift RPC and worker messaging; authentication and authorization options are disabled by default.