Redpanda vs StreamNative

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.

StreamNative is a cloud data platform for capturing, transporting, transforming, governing, and serving business data in real time for applications, analytics, and agents. It provides native Kafka and Pulsar services powered by the Ursa engine, stream processing, schema registry support, and both listed delivery guarantees. Streams can be written directly to Iceberg and Delta tables in object storage. Universal Connect runs Kafka Connect and Pulsar IO connectors, including change-data-capture connectors, on one runtime. The platform supplies agents with governed context through open interfaces such as the StreamNative MCP Server. Deployment choices are Serverless, Dedicated, and BYOC in your cloud account, with AWS, Google Cloud, and Azure options. Serverless supports up to 100 MBps per namespace. Plans start at $73 a month for Serverless, $505 a month for Dedicated, and $365 a month for BYOC. Support is included in all plans, with 24/7 technical support available.