How to load your data from Snowflake to Amazon Redshift

Pipes allows you to automatically replicate your Snowflake data into Amazon Redshift on your defined schedule.
Load all your data from Snowflake to Amazon Redshift to instantly get access to your Snowflake data. This data will always be updated on your defined schedule.
Pipes allows you to automatically load your Snowflake data into Amazon Redshift. With ready-to-use connectors and pre-built data schemas for more than 200 APIs and web services you build data pipelines in minutes and without any coding. ​

Connect to Amazon Redshift

This will be the destination of all data pipelines you build. Besides Amazon Redshift, Pipes supports the most used relational databases in the cloud and on-premises.

Connect to Snowflake

Just enter your credentials to allow Pipes access to the Snowflake API. Then Pipes is able to retrieve your data from Snowflake.

Create a data pipeline from Snowflake to Amazon Redshift

Pipes lets you select the data from Snowflake you want to have in Amazon Redshift. This pipeline will run automatically on your defined schedule!

About Snowflake

Snowflake is a high performing cloud data warehouse. It can either be used to store your data in it or / and to use it as a data source.

About Amazon Redshift

Amazon Redshift is a data warehouse that allows its users to analyze data in conjunction with existing Business Intelligence tools and standard SQL. With Amazon Redshift users are enabled to perform complex analysis queries on multiple petabytes of structured data.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.