Estuary
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REAL-TIME ETL & CDC

Move your data from Snowflake Data Cloud 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
01. Move from Snowflake Data Cloud02. Transform in-flight03. Select a destination
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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

For more details about the Snowflake Data Cloud connector, check out the documentation page.

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

Sync to your destination

Continuously or periodically deliver data to your destination with support for change data capture and reliable delivery for accurate insights.

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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 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 from Snowflake Data Cloud 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 Snowflake Data Cloud insights always reflect the latest data by connecting your databases to Snowflake Data Cloud with change data capture.
  • Or connect critical SaaS apps to Snowflake Data Cloud with real-time data pipelines.

See how you can integrate Snowflake Data Cloud with any destination:

Details

or choose from these popular data sources:

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PostgreSQL
MySQL logo
MySQL
SQL Server logo
SQL Server
MongoDB logo
MongoDB
Apache Kafka logo
Apache Kafka
Google Bigquery logo
Google Bigquery
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Snowflake

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

EstuaryBatch ELT/ETLDIY PythonKafka
Price$$$-$$$$$-$$$$$-$$$$
Speed<100ms5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
Maintenance EffortLowMediumHighHigh
Detailed Comparison

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

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Popular sources/destinations you can sync your data with

Choose from more than 100 supported databases and SaaS applications. Click any source/destination below to open the integration guide and learn how to sync your data in real time or batches.