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PostgreSQL

Sync Data from PostgreSQL to Snowflake in Minutes

Sync PostgreSQL to Snowflake for real-time data analysis.

Real-time, Codeless PostgreSQL Data Sync with Snowflake

StreamSets offers ease of use, reusability, cross platform support, and automatic drift detection.

Embrace a Single Experience for All Patterns

Take advantage of a single, easy-to-use tool for all workloads (CDC, Streaming & Batch) that is proven to accelerate delivery efforts 10X. End-to-end automation and scalability is now possible with automated schema replication, a drag-and-drop interface, and 60+ prebuilt processors to enrich your data. Finally, you can focus on higher order projects.

PostgreSQL To Snowflake Sync

Avoid Breakages

Build smart data pipelines that proactively address unforeseen pipeline changes. We call this data drift, the inevitable changes in schema, semantics, and infrastructure for your origins and destinations. With StreamSets’ patented data drift technology, dramatically reduce reactive break-fix and maintenance efforts.

Kafka Data Formats

Take Control of Your Environment

Securely move data into the cloud with StreamSets secure engines so you can operate and monitor all data pipelines in one place for full visibility across all environments: on-premise/self managed, hybrid, cloud and multi-cloud environments.

Data Operations

Learn How PostgreSQL to Snowflake Works

Implement a data pipeline to sync data between PostgreSQL and Snowflake using Change Data Capture in just a handful of simple steps.

Get the Full Guide
PostgreSQL To Snowflake Guide

Our customers run millions of data pipelines using StreamSets

Build Your PostgreSQL to Snowflake Pipeline. It's easy.

See how your PostgreSQL to Snowflake sync just got easier.

StreamSets Monitor Data Pipeline Video Screenshot

Simplify Your Data Sync Between PostgreSQL and Snowflake

Easy to Start, Easy
to Run, Easy to Expand

Handle Data
Drift Automatically

Deploy Securely
in Any Environment

What Our Customers Say

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“By moving to the cloud with StreamSets and by leveraging their big data ecosystem, we can finally use all of our data and break down the silos we’ve struggled with in the past.”
Jean-Marie Bertoncelli, Big Data and Analytics Architect
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“DataOps makes my life easier. In short, data engineers don’t just do development, they can actively monitor and make continuous improvement changes to data pipelines.”
Jeffrey Jennings, Senior Data Strategy Architect, TalentFulfilled
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