Decodable vs Maxwell's Daemon

Decodable is a managed, serverless platform for real-time ETL, ELT, and stream processing, built on Apache Flink and Debezium. It lets teams create pipelines in SQL, Java, or Python and manage them through a UI, CLI, APIs, or dbt. SQL supports transformations, filtering, stateful joins, and complex event processing. Pipelines process data exactly once by default and can resume after a stop or failure. Connectors include Apache Kafka, PostgreSQL, Apache Iceberg, and Snowflake, with Debezium-powered change data capture. Teams can use Decodable-hosted infrastructure or a Bring Your Own Cloud deployment. The free plan costs nothing and does not expire or require a credit card; it includes 24 hours or 10GiB of stream retention, 20 streams, and four running tasks. On Demand costs $0.12 a month, billed monthly, and Enterprise costs $0.10 a year, billed annually with committed capacity. Decodable is available via API, web, and self-hosted deployment.

Maxwell's Daemon is a free, open-source, self-hosted Linux tool for moving MySQL changes into streaming systems. It reads MySQL binary logs and emits database changes as JSON for Kafka, Kinesis, SQS, SNS, NATS, Google Cloud Pub/Sub, BigQuery, RabbitMQ, Redis, and other destinations. Listed uses include ETL, database change auditing, cache building or expiration, search indexing, and communication between services. Filtering can select databases, tables, and column values, while JavaScript filters handle custom row filtering and data changes. When encryption is enabled, messages use AES/CBC/PKCS5PADDING with a user-provided key and base64-encoded values. Metrics can be exposed through logging, JMX, HTTP, or Datadog; HTTP endpoints cover metrics, Prometheus, health checks, ping, and diagnostics. Maxwell supports schema evolution and an initial snapshot. Deployment options include command line, Docker, binary distribution, and Homebrew. Requirements include JRE 11 or later, supported MySQL versions from 5.1 through 8, and Kafka 0.8.2 or later when Kafka is used.