Stream into Snowflake with your free account
Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Snowflake using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines
Snowflake connector details
Designed for high-performance analytics, the Estuary Snowflake connector materializes Estuary collections into Snowflake tables in real time. It supports both standard and delta updates, with Snowpipe Streaming enabling the lowest-latency ingestion directly into Snowflake. Data is first written to a Snowflake stage and then applied transactionally, ensuring consistency and efficiency. Authentication uses key-pair (JWT), with support for secure SSL connections and sync scheduling to optimize warehouse usage and cost.
- Real-time data materialization into Snowflake tables
- Supports Snowpipe Streaming for low-latency delta updates
- JWT key-pair authentication (required from 2025 onward)
- Optimized performance and cost through sync scheduling
- Secure integration with SSL and warehouse auto-suspend
See how Coltene uses Snowflake
How to connect your data source to Snowflake in 3 easy steps
- 1
Connect your data source
Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.
- 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 Snowflake
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.
Learn more with some related videos
Dive deeper into Snowflake with tutorials and walkthroughs from our YouTube channel.
![PostgreSQL to Snowflake in Real Time (CDC Explained) video thumbnail]()
PostgreSQL to Snowflake in Real Time (CDC Explained)
Moving PostgreSQL to Snowflake in real time — with change data capture (CDC), not a nightly batch job. Estuary reads every change from the Postgres write-ahead log and merges it into Snowflake in seconds, deletes included.
![SQL Server CDC to Snowflake + ClickHouse in Real Time (Fan-Out Demo) video thumbnail]()
SQL Server CDC to Snowflake + ClickHouse in Real Time (Fan-Out Demo)
See how to capture SQL Server change data once and fan it out to Snowflake, ClickHouse, and other destinations without creating duplicate source pipelines.
![Introducing Estuary Agent Skills: Build Data Pipelines with AI video thumbnail]()
Introducing Estuary Agent Skills: Build Data Pipelines with AI
Estuary Agent Skills give your AI coding assistant the Estuary-specific context it needs to build and operate real-time data pipelines. Ask in plain English, capture my Postgres database into Snowflake, load these collections into BigQuery, or why is this connector failing, and your assistant knows the workflow.
![PostgreSQL CDC: What, Why, and How video thumbnail]()
PostgreSQL CDC: What, Why, and How
Set up PostgreSQL change data capture (CDC) without worrying about your WAL or replication slot loss. This step-by-step Postgres CDC guide covers WAL configuration, replication user setup, publication creation, and building your first real-time pipeline to Snowflake, Iceberg, or ClickHouse, no Kafka or Debezium required.
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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Read success storyColtene
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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. Bring data from databases, SaaS apps, APIs, files, and event streams into Snowflake, with capture and delivery cadence based on connector capabilities and pipeline configuration.
- Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to Snowflake through Estuary.
- Transform and route data through Estuary collections before delivering it to Snowflake.
See what you can connect to 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
| 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
Deliver real-time and batch data from DBs, SaaS, APIs, and more
Frequently asked questions
Is Estuary an official Snowflake partner?
Yes. Estuary is a Snowflake AI Data Cloud Products Partner at the Premier tier, is Snowflake Ready Technology validated, and holds the Snowflake Industry Competency in Technology. Estuary is listed in the Snowflake Partner Network directory.