Stream data from Amazon SQS to Amazon S3 Parquet
Sync your Amazon SQS data with Amazon S3 Parquet in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
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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

Amazon S3 Parquet connector details
The Amazon S3 Parquet materialization connector writes delta updates from Estuary Flow collections to an Amazon S3 bucket in Apache Parquet format, providing efficient, columnar storage optimized for analytics and downstream data lake use cases.
- Data format: Outputs batched delta updates as Parquet files for compact, query-ready storage
- Upload scheduling: Configure upload intervals and file size limits to control data batching frequency
- Flexible authentication: Supports both AWS Access Keys and IAM roles for secure access
- Schema-aware typing: Automatically maps Flow collection field types to equivalent Parquet data types
- File versioning: Organizes files by path and version counters for easy traceability and reprocessing
- Scalable and compatible: Works with AWS S3 and S3-compatible APIs, such as MinIO or Wasabi
💡 Tip: Use this connector to build cost-efficient, analytics-ready data lakes by streaming Flow data to S3 in Parquet format, ready for querying in Athena, Snowflake, or Databricks.
How to integrate Amazon SQS with Amazon S3 Parquet in 3 simple steps using Estuary Flow
Connect Amazon SQS as Your Real-Time Data Source
Set up a real-time source connector for Amazon SQS in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure Amazon S3 Parquet as Your Target
Choose Amazon S3 Parquet as your target system. Estuary intelligently maps schemas, supports both batch and streaming loads, and adapts to schema changes automatically.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary Flow guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
Estuary Flow in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary Flow does the rest.
Why Estuary Flow is the best choice for data integration
Estuary Flow combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:

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Frequently Asked Questions
- Set Up Capture: In Estuary Flow, go to Sources, click + NEW CAPTURE, and select the Amazon SQS connector.
- Enter Details: Add your Amazon SQS connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Amazon SQS capture, and publish.
What is Amazon SQS?
How do I Transfer Data from Amazon SQS?
What are the pricing options for Estuary Flow?
Estuary offers competitive and transparent pricing, with a free tier that includes 2 connector instances and up to 10 GB of data transfer per month. Explore our pricing options to see which plan fits your data integration needs.
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