Debezium vs Estuary

Debezium captures row-level database changes and delivers them to applications as events, so they can respond to inserts, updates, and deletes. Its connectors use database logs for low-delay capture without requiring changes to the data model, and can take initial or incremental snapshots, filter schemas, tables, and columns, and mask selected values. Listed databases include MongoDB, MariaDB, MySQL, PostgreSQL, SQL Server, Oracle, Db2, and Cassandra. Connectors for Vitess, Spanner, Informix, CockroachDB, YashanDB, Ingres, and Milvus are marked incubating and may change without backward compatibility. A common deployment uses Apache Kafka Connect; Debezium can also run through Debezium Server or as a library in JVM applications. Debezium Server can send serialized events to Amazon Kinesis, Google Cloud Pub/Sub, and Apache Pulsar. Ready-to-use transformations support routing, filtering, and event flattening. Debezium is free under the Apache Software License 2.0. Its quay.io container images are for testing and evaluation, not production.

Estuary is a managed data integration platform for combining change data capture, batch, streaming, and app synchronization for analytics, operations, and AI. It supports transformations while data is moving, using SQL, Python, or TypeScript, and describes delivery as exactly once with end-to-end latency under 100 milliseconds. More than 200 prebuilt connectors cover databases, warehouses, SaaS apps, and cloud platforms, including Snowflake, BigQuery, Kafka, MySQL, and PostgreSQL. Customers can store data in their own cloud bucket for a duration they choose, and select public, private, or Bring Your Own Cloud deployment. Estuary lists SOC 2 Type II, HIPAA, HITECH, CCPA, and GDPR among its compliance standards, and says data is encrypted in transit and at rest. It is available through API, self-hosted, and web options. The indefinite free tier is limited to 10 GB per month and two concurrent connector instances; paid plans start at $100 a month.