DataStax Astra Streaming vs Redpanda

DataStax Astra Streaming is a managed cloud service for streaming data and processing event streams, powered by Apache Pulsar. It provides messaging for streaming, publish-subscribe workflows, and queuing, and supports real-time event processing and change data capture. Users manage Pulsar tenants and resources such as topics, connectors, functions, and subscriptions through the Astra Portal, APIs, or related tools. Applications connect through open-source Apache Pulsar client APIs; the service runs Pulsar 3.1 and recommends that API version or higher. Included connectors cover Astra DB and Cassandra, Kafka, AWS Kinesis, Cloud Storage, Elasticsearch, BigQuery, JDBC databases, Snowflake, and selected source systems including Debezium-supported databases. Connections use authentication, authorization, and TLS. Shared clusters have defined tenant, namespace, topic, message-size, and throughput limits. Custom source and sink connectors are not supported, and experimental connectors are not fully supported or tested. A free tier is listed at free; paid pricing is usage-based and varies by region and usage.

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.