Amazon Managed Service for Apache Flink vs Confluent Cloud
Amazon Managed Service for Apache Flink
aws.amazon.com
Confluent Cloud
confluent.ioSide by side
| Figure | Amazon Managed Service for Apache Flink | Confluent Cloud |
|---|---|---|
| Price from | — | $385/mo |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · Streaming Analytics Software | 7.5 (#15) | 8.3 (#3) |
| Spec score · Stream Analytics Software | 7.5 (#17) | 8.4 (#5) |
| Spec score · Stream Processing Software | 7.5 (#17) | 8.3 (#6) |
| Integrations | Listed integrations include Amazon S3, Amazon MSK, Amazon OpenSearch Service, DynamoDB, Kinesis Data Streams, Kinesis Data Firehose, CloudWatch, and AWS Glue Schema Registry. | Confluent Cloud offers pre-built and fully managed Kafka connectors for sources and sinks such as databases, data lakes, and data warehouses. |
| 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 page names RBAC, self-managed encryption keys, client-side field-level encryption, and audit logs among its security features. |
Plans
Amazon Managed Service for Apache Flink
- Usage-based pricingPrice not published
Confluent Cloud
- BasicFree
- Standard$385 a month
- Enterprise$895 a month
- Confluent CloudFree
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.
Confluent Cloud
Confluent Cloud is a managed data streaming platform built on a serverless Apache Kafka engine. It is designed for real-time streaming, event-driven applications, analytics, and AI/ML workloads. Cluster choices include Basic, Standard, Enterprise, and Freight, as well as Dedicated clusters with pre-provisioned resources. Confluent says its cloud-native engine adjusts cluster infrastructure to workload needs. Cluster Linking replicates, synchronizes, and shares data across regions, public clouds, and organizations. The service includes managed Kafka connectors for databases, data lakes, and warehouses, serverless processing with Apache Flink, and a managed Stream Governance suite. Tableflow can materialize Kafka topics and schemas as Apache Iceberg and Delta Lake tables. Listed security features include RBAC, self-managed encryption keys, client-side field-level encryption, and audit logs. Users can manage clusters and topics through a web UI or CLI; supported client languages include Java, Python, .NET, Go, Node.js, and C/C++. It is available on AWS, Azure, and Google Cloud across more than 100 regions. A free plan is available; paid plans start at $385/mo, and new signups receive a 30-day trial.