Amazon Kinesis Data Streams vs Redpanda

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.

Redpanda is an event-streaming platform for storing real-time events in ordered topics that can be replayed, with access through the Apache Kafka API. Its Kafka compatibility is intended to let existing applications and tools continue without rewrites or changes. The platform uses a native C++ architecture, runs as a single binary, and has no external dependencies. Redpanda Connect supplies more than 300 pre-built connectors for sources, sinks, processors, databases, APIs, cloud services, and AI pipelines. Native Apache Iceberg support and Iceberg topics let streams be materialized into lakehouse-ready tables. Deployment options include Serverless, managed BYOC on AWS, GCP, or Azure, and self-managed installations on bare metal, virtual machines, Kubernetes, or Docker. Redpanda also lists stream processing, a schema registry, both delivery guarantees, and client support for Java, C/C++, Go, Python, Rust, and Node.js. The maker states that its platform delivers 10x lower tail latencies than open-source Kafka.