
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.
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Which cloud data warehouse should you pick? We ran the benchmark
We benchmarked the top data warehouses so you don’t have to: Snowflake, Databricks, BigQuery, Redshift, Microsoft Fabric, ClickHouse and MotherDuck.
![How to Replicate Oracle to Snowflake Using CDC (Step-by-Step) video thumbnail]()
How to Replicate Oracle to Snowflake Using CDC (Step-by-Step)
Learn how to replicate Oracle to Snowflake in real time using Change Data Capture (CDC) with Estuary. This step-by-step tutorial shows how to capture Oracle inserts, updates, and deletes using LogMiner and stream them into Snowflake without building a custom data replication pipeline.
![Real-time Change Data Capture for Postgres with Estuary video thumbnail]()
Real-time Change Data Capture for Postgres with Estuary
Learn how to set up PostgreSQL Change Data Capture (CDC) for real-time data replication using Estuary. This step-by-step tutorial explains how Postgres CDC works with the write-ahead log (WAL), logical replication, publications, and replication slots, then walks through creating a PostgreSQL CDC capture in Estuary.
![How to Replicate MySQL to Snowflake with CDC (Step-by-Step) #dataengineering video thumbnail]()
How to Replicate MySQL to Snowflake with CDC (Step-by-Step) #dataengineering
Replicate MySQL to Snowflake with change data capture (CDC). Estuary reads every insert, update, and delete from the MySQL binary log and merges them into Snowflake on your sync schedule.
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.
Read success storyColtene
From SAP on SQL Server to Snowflake: How Coltene Built Reliable Replication with Estuary
Read success storyGlossier
Glossier Runs Real-Time Supply Chain and Marketing Analytics with Estuary
Read success storyCurri
How Curri Cut Data Sync Costs by 50% and Achieved Real-Time Analytics with Estuary
Read success storyXometry
Xometry Saves 60% on Data Integration with a Secure Estuary Private Deployment

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.



















