At-least once semantics can create duplicates the destination, creating inaccurate results and excess cost.
Scalability
Estuary manages partitioning of tables and communicates with replication slot. This avoids DB memory problems that would otherwise put a limit on uptake.
A connector handles 7K change events/second. Tables can be manually partitioned and multiple connectors created for more scalability. Issues can happen when replication slots fill during backfills.
For teams working with large tables, Debezium can be difficult to get working.
Schema Migrations
Automated schema evolution
Row-level data capture, but downstream destinations will have to be manually updated.
Automation will ensure that your destination always matches your source.
Estuary is building the next generation of real-time data integration solutions.
We're creating a new kind of DataOps platform thatempowers data teams to build real-time,data-intensive pipelines and applications, at scale,with minimal friction, in a UI or CLI. We aim to make real-time data accessible to the analyst, while bringing power tooling to the streaming enthusiast. Flow unifies a team's databases, pub/sub systems, and SaaS around their data, without requiring new investments in infrastructure or development.
Estuary develops in the open to produce both the runtime for our managed service and an ecosystem ofopen-source connectors. You can read more about our story here.
