Confluent Cloud vs DataStax Astra Streaming

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.

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.