Amazon Kinesis Data Streams vs Confluent Cloud

Amazon Kinesis Data Streams is a cloud, serverless service for capturing, processing, and analyzing live data streams. It can continuously capture gigabytes per second from hundreds of thousands of sources, then make records available to multiple real-time analytics applications, Amazon Managed Service for Apache Flink, or AWS Lambda within 70 milliseconds of collection. Data is synchronously replicated across three Availability Zones in an AWS Region. Each stream supports up to 20 consumers with dedicated read throughput, and retention can be configured for as long as 365 days. Server-side encryption uses AWS Key Management Service keys, while Amazon VPC provides private access. Integrations include DynamoDB, Aurora, Database Migration Service, CloudWatch, Lambda, Managed Service for Apache Flink, and Kinesis Data Firehose. Records can be delivered to Amazon S3 Tables as Apache Iceberg tables or to S3 buckets in source format. It supports log and event streaming, real-time analytics, event-driven applications, and real-time AI or machine-learning workloads. Access is through an API or web interface. Pricing is paid from $0.03, with no free plan or AWS Free Tier availability.

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.