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REAL-TIME ETL & CDC

Stream into Amazon S3 Parquet 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
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01. Select a source02. Transform in-flight03. Deliver to Amazon S3 Parquet
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Amazon S3 Parquet connector details

The Amazon S3 Parquet materialization connector in Estuary Flow delivers data from your pipelines directly into your destination system — continuously and in real time. Using merge-based writes, Flow efficiently updates only changed records, ensuring your destination stays perfectly in sync without unnecessary reprocessing. Whether for analytics, AI, or operational use cases, Estuary Flow provides a reliable, cost-efficient way to keep Amazon S3 Parquet up to date.
  • Log-based CDC for high-performance, low-impact data capture
  • Automatic schema evolution to handle changes in source structure without manual intervention
  • Unified streaming and batch ingestion in the same pipeline
  • Hybrid deployment and BYOC support for security and control
  • Fault-tolerant pipelines that resume automatically from the last checkpoint
  • Kafka API connectivity for direct integration into streaming ecosystems

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

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HIGH THROUGHPUT

Distributed event-driven architecture enable boundless scaling with exactly-once semantics.

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DURABLE REPLICATION

Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

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REAL-TIME INGESTION

Capture and relay every insert, update, and delete in milliseconds.

Real-timehigh throughput

Point a connector and replicate changes to Amazon S3 Parquet 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 S3 Parquet insights always reflect the latest data by connecting your databases to Amazon S3 Parquet with change data capture.
  • Or connect critical SaaS apps to Amazon S3 Parquet with real-time data pipelines.
Details

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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$$$-$$$$$-$$$$$-$$$$
Speed<100ms5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
Detailed Comparison

Deliver real-time and batch data from DBs, SaaS, APIs, and more

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