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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 SQS connector details
Estuary’s Amazon SQS connector continuously ingests messages from Amazon Simple Queue Service (SQS) queues into Flow collections. It uses polling-based message retrieval, providing near real-time event capture from both standard and FIFO queues. Depending on configuration, messages can be retained or deleted after being read, giving you control over reliability and cost.
- Poll-based message capture for low-latency ingestion
- Supports both standard and FIFO SQS queues
- Optional delete-after-read mode to manage replay behavior
- Securely operates within Estuary’s managed or private cloud deployments
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 SQS 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 SQS insights always reflect the latest data by connecting your databases to Amazon SQS with change data capture.
- Or connect critical SaaS apps to Amazon SQS 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
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