Stream data from Snowflake Data Cloud to Firebolt
Sync your Snowflake Data Cloud data with Firebolt in minutes using Estuary Flow 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

Firebolt connector details
- Merge-based materializations to sync only what's changed
- Low-latency delivery from streaming and batch sources
- Automatic schema alignment so your destination matches your pipeline's evolving data
- Flexible deployment models, including BYOC and hybrid for enterprise governance
- Unified streaming + batch outputs in a single tool
- End-to-end security and compliance for sensitive data workloads
How to integrate Snowflake Data Cloud with Firebolt in 3 simple steps using Estuary Flow
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 Firebolt as Your Target
Choose Firebolt 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 Flow guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
Estuary Flow in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary Flow does the rest.
Why Estuary Flow is the best choice for data integration
Estuary Flow combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:

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Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Flow'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.
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It's free up to 10 GB/month and 2 connector instances.
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Frequently Asked Questions
- Set Up Capture: In Estuary Flow, 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 Flow?
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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