Estuary

Move your data from Amazon SQS with your free account

Capture data from Amazon SQS and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.

  • <100ms to batch
  • 200+ connectors
  • Managed data pipelines
01. Move from Amazon SQS02. Transform in-flight03. Select a destination
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Amazon SQS connector details

Estuary’s Amazon SQS connector continuously ingests messages from Amazon Simple Queue Service (SQS) queues into Estuary 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

For more details about the Amazon SQS connector, check out the documentation page.

How to connect Amazon SQS to your destination in 3 easy steps

  1. 1

    Connect Amazon SQS as your data source

    Securely connect Amazon SQS and choose the objects, tables, or collections you need to sync.

  2. 2

    Prepare and transform your data

    Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.

  3. 3

    Deliver to your destination

    Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.

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Trusted by data teams worldwide

All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.

HIGH THROUGHPUT

Distributed, event-driven architecture scales for demanding data workloads.

DURABLE COLLECTIONS

Store data as it moves so you can transform, replay, and deliver it downstream.

FLEXIBLE LATENCY

From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.

From <100ms to batch

Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Capture data from Amazon SQS using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.

  • Connect Amazon SQS to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
  • Capture once and reuse Amazon SQS data across transformations and multiple downstream destinations without rebuilding source extraction.

See where you can send Amazon SQS data:

Details

or choose from these popular destinations:

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PostgreSQL
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SQL Server
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MongoDB
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Apache Kafka
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Google Bigquery
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Snowflake

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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.

Feature Comparison

EstuaryBatch ELT/ETLDIY PythonKafka
Price$$$-$$$$$-$$$$$-$$$$
Latency<100ms to scheduled5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
Maintenance EffortLowMediumHighHigh

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Popular sources/destinations you can sync your data with

Choose from more than 100 supported databases and SaaS applications. Click any source/destination below to open the integration guide and learn how to sync your data in real time or batches.