Move your data from Amazon DocumentDB with your free account
Continously ingest and deliver both streaming and batch change data from 100s of sources using Estuary's custom no-code connectors.
- <100ms Data pipelines
- 100+ Connectors
- 2-5x less than batch ELT
Amazon DocumentDB connector details
The Amazon DocumentDB connector brings your DocumentDB collections into Flow collections for downstream use. Since DocumentDB doesn’t support native change streams, this connector captures data in batch modes. You can use either full snapshots or incremental scans, making it a reliable option for periodic syncs and time-series data ingestion.
- Ingests data from Amazon DocumentDB collections into Flow
- Two batch modes: Snapshot for full refreshes, and Incremental for append-only datasets
- Optimized for time-series collections using indexed fields as cursors
- Flexible scheduling with configurable poll intervals and secure connection options
HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.
DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.
REAL-TIME INGESTION
Capture and relay every insert, update, and delete in milliseconds.
Real-timehigh throughput
Point a connector and replicate changes from Amazon DocumentDB in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 100s of batch and real-time connectors to move and transform data using ELT and ETL.
- Ensure your Amazon DocumentDB insights always reflect the latest data by connecting your databases to Amazon DocumentDB with change data capture.
- Or connect critical SaaS apps to Amazon DocumentDB with real-time data pipelines.
Don't see a connector?Request and our team will get back to you in 24 hours
Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | KAFKA | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Speed | <100ms | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale |
Deliver real-time and batch data from DBs, SaaS, APIs, and more
Build Free Pipeline
