AutoMQ vs DataStax Astra Streaming

AutoMQ is Kafka-compatible streaming software that runs Kafka on cloud object storage. It supports S3, Google Cloud Storage, Azure Blob Storage, MinIO, and Ceph, and can be deployed on premises or in private and public clouds by binary, Helm, or Docker Compose. AutoMQ states sub-10ms P99 latency and automatic scaling with traffic, including partition rebalancing across brokers. Table Topic can materialize Kafka topics as Iceberg or Delta Lake tables without ETL pipelines, for direct querying with Spark, Trino, or Flink. Managed Connector runs Kafka Connect workers in a customer’s Kubernetes environment, with logs and monitoring for throughput, task health, failures, and anomalies. The platform lists stream processing, schema registry, exactly-once delivery, a maximum 90-day retention period, and 300 connectors. Supported client languages include Java, C/C++, Go, Python, and NodeJS. Pro costs $300 a month; Enterprise pricing is by contact. There is no free plan, but a 30-day free trial requires no credit card.

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.