Captures bring data into collections; materializations deliver it to destinations. Optional derivations transform collection data between those stages. A CDC route starts with a source connector and database-specific prerequisites. Validate snapshot consistency, change capture, deletes and restart r
Captures bring data into collections; materializations deliver it to destinations. Optional derivations transform collection data between those stages. A CDC route starts with a source connector and database-specific prerequisites. Validate snapshot consistency, change capture, deletes and restart recovery on your actual source. A collection is a persistent dataset between capture and delivery. Multiple materializations can consume that data, supporting independent destination cadences and replay. Public, Private and BYOC deployment models offer different infrastructure boundaries. Review the data-plane location, cloud ownership and operational responsibilities before selecting one.
Choose acceptance criteria before building the pilot. Cover correct data, required freshness, recovery, operating fit and full workload cost. List exact source and destination support, authentication, deletes, schema changes and deployment boundaries. Require a demonstrated pass for every condition that blocks production use. After core requirements pass, assess agent-assisted configuration and operating workflows where they help your team. Treat those conveniences separately from data correctness, recovery and security requirements. Identify any unsupported connector behavior, incompatible deployment boundary or unacceptable operating responsibility early. Resolve those items before a broader rollout rather than assuming a future feature or contract will cover them.
Estuary unifies CDC, batch and streaming data movement with reusable collections. The same captured data can feed analytics, applications and AI workflows. Captures ingest source data into collections, and materializations deliver collection data to destinations. This separates source extraction from the speed and write behavior of each downstream route. Different destinations can consume captured data on different cadences. Choose the freshness each workload needs instead of treating every destination as a real-time requirement. The integration directory separates capture and materialization connectors. Verify the exact endpoint, configuration and supported behavior before committing to a route.
Public, Private and BYOC address different infrastructure and control requirements. Agree on the data-plane location, account ownership and operating responsibilities with Estuary. Public deployment provides Estuary-managed SaaS with regional processing options. Check the source network path, storage configuration and residency requirements for the proposed route. Private deployment isolates the data plane to support stricter network and data-path requirements. Confirm the hosting account, region and maintenance responsibilities in the proposed design rather than equating Private with BYOC. BYOC places the deployment in your cloud environment, using your infrastructure boundaries. Review the required cloud permissions, network setup, costs and shared responsibilities before implementation.
Estuary bills for moved data and active connector instances. Use the actual route and current plan terms to estimate total cost. Data movement and connector instances contribute separately to the bill. Include source and destination movement, backfills and fan-out when modeling usage rather than counting only source bytes. Estuary publishes Free, Cloud and Enterprise plans with different entitlements. Private and BYOC options require an annual Enterprise contract; confirm exact terms with the team. Use the published trial and free-plan information to scope a small evaluation. Confirm the current allowance, required features and expected bill before expanding the workload.
Estuary supports data movement for analytics, operational systems and AI. Start with a specific source, destination and freshness requirement. Estuary documents routes into analytical warehouses and lakehouses, including Snowflake and Apache Iceberg examples. Validate schema, write behavior and delivery cadence against the analytical workload. Operational data and business events can feed systems used for real-time analytics. Set the freshness target and inspect downstream serving behavior rather than assuming pipeline speed alone determines user experience. Reusable collections allow captured data to serve more than one destination. Evaluate each destination's requirements and the cost of fan-out before adding consumers.