Stream into Amazon S3 Parquet with your free account

Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Amazon S3 Parquet using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.

<100ms to batch
200+ connectors
Managed data pipelines

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01. Select a source02. Transform in-flight03. Deliver to Amazon S3 Parquet

Amazon S3 Parquet connector details

The Amazon S3 Parquet materialization connector writes delta updates from Estuary 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 Estuary 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 Estuary data to S3 in Parquet format, ready for querying in Athena, Snowflake, or Databricks.

For more details about the Amazon S3 Parquet connector, check out the documentation page.

How to connect your data source to Amazon S3 Parquet in 3 easy steps

1
Connect your data source
Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.
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
Sync to Amazon S3 Parquet
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.

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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. Bring data from databases, SaaS apps, APIs, files, and event streams into Amazon S3 Parquet, with capture and delivery cadence based on connector capabilities and pipeline configuration.

Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to Amazon S3 Parquet through Estuary.
Transform and route data through Estuary collections before delivering it to Amazon S3 Parquet.

See what you can connect to Amazon S3 Parquet:

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

Feature Comparison

	Estuary	Batch ELT/ETL	DIY Python	Kafka
Price	$	$$-$$$$	$-$$$$	$-$$$$
Latency	<100ms to scheduled	5min+	Varies	<100ms
Ease	Analysts can manage	Analysts can manage	Data Engineer	Senior Data Engineer
Scale
Maintenance Effort	Low	Medium	High	High