Stream data from Snowflake Data Cloud to Amazon S3 CSV
Sync your Snowflake Data Cloud data with Amazon S3 CSV in minutes using Estuary for real-time, no-code integration and seamless data pipelines.
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Snowflake Data Cloud connector details
Estuary’s Snowflake connector enables incremental data capture from Snowflake tables using Snowflake Streams and staging tables. While it supports CDC-like change tracking (inserts, updates, and deletes), the process is polling-based, meaning data is captured at scheduled intervals rather than in true real time. This design provides a balanced approach between freshness, cost efficiency, and reliability in Snowflake environments.
- Supports insert, update, and delete detection via Snowflake Streams
- Secure JWT key-pair authentication for modern, passwordless access
- Configurable polling intervals to optimize between latency and cost
- Compatible with Snowflake Secure Data Sharing, enabling capture from shared tables
- Fully deployable in Estuary’s managed or private cloud environments with enterprise-grade security

Amazon S3 CSV connector details
The Amazon S3 CSV connector exports Flow collection data as compressed CSV files into your S3 bucket, offering a reliable and scalable way to persist real-time updates in an analytics-friendly format.
- Delta-based materialization: Writes only changed records (delta updates) from Flow collections as CSV files, efficiently keeping your data lake up to date.
- Configurable batching: Aggregates changes in Flow and uploads them to S3 at a defined interval, with support for custom file size limits.
- Flexible authentication: Supports both AWS access keys and IAM roles for secure access management.
- Structured file naming: Automatically organizes files with versioned, lexically sortable naming for easy tracking and replay.
- Customizable storage paths: Lets you define prefixes and per-collection paths for better data organization.
- Compatible and extensible: Can also connect to S3-compatible APIs using a custom endpoint if needed.
💡 Tip: Use shorter upload intervals for near-real-time analytics, or increase them to reduce storage and API costs when dealing with large batch updates.
How to integrate Snowflake Data Cloud with Amazon S3 CSV in 3 simple steps using Estuary
Connect Snowflake Data Cloud as Your Real-Time Data Source
Set up a real-time source connector for Snowflake Data Cloud in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure Amazon S3 CSV as Your Target
Choose Amazon S3 CSV 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 guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
Why Estuary is the best choice for data integration
Estuary combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:

What customers are saying
Increase productivity 4x
With Estuary companies increase productivity 4x and deliver new projects in days, not months. Spend much less time on troubleshooting, and much more on building new features faster. Estuary decouples sources and destinations so you can add and change systems without impacting others, and share data across analytics, apps, and AI.
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Estuary's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.

Snowflake Data Cloud to Amazon S3 CSV pricing estimate
Estimated monthly cost to move 800 GB from Snowflake Data Cloud to Amazon S3 CSV is approximately $1,000.
Data moved
Choose how much data you want to move from Snowflake Data Cloud to Amazon S3 CSV each month.
GB
Choose number of sources and destinations.
Why pay more?
Move the same data for a fraction of the cost.



Frequently Asked Questions
- Set Up Capture: In Estuary, go to Sources, click + NEW CAPTURE, and select the Snowflake Data Cloud connector.
- Enter Details: Add your Snowflake Data Cloud connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Snowflake Data Cloud capture, and publish.
What is Snowflake Data Cloud?
How do I Transfer Data from Snowflake Data Cloud?
What are the pricing options for Estuary?
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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