Move your data from Snowflake Data Cloud with your free account
Capture data from Snowflake Data Cloud 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
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
How to connect Snowflake Data Cloud to your destination in 3 easy steps
- 1
Connect Snowflake Data Cloud as your data source
Securely connect Snowflake Data Cloud and choose the objects, tables, or collections you need to sync.
- 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
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.
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.
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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. Capture data from Snowflake Data Cloud using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.
- Connect Snowflake Data Cloud to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
- Capture once and reuse Snowflake Data Cloud data across transformations and multiple downstream destinations without rebuilding source extraction.
See where you can send Snowflake Data Cloud data:
Don't see a connector?Request and our team will get back to you in 24 hours
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 |
One platform for real-time and batch data pipelines
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