Name: DataChannel
Brand: DataChannel
Rating: 4.8 (63 reviews)

Integrate Amazon S3 with Snowflake in minutes

Enter your Amazon S3 credentials

Select a predefined report or specific data to extract from

Select Snowflake as your target and start loading your data

What our clients say

Learn how leading e-commerce companies are leveraging data to grow their business without spending valuable hours writing ETL scripts

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"DataChannel is flexible and scalable. It has everything we need, from granular control over data we are integrating to a quick turnaround time by the support team."

Puneet Tripathi

Head of Analytics @ Wakefit

"DataChannel has greatly improved our ability to access data reliably that was previously challenging to obtain."

Melvin Davis Vallully

Head of Data Analytics @ Wow Skin Science

"DataChannel has helped us gain access to real-time data quickly, helping us smoothen out the bottlenecks faced while analyzing data."

Minu Margeret

Founder & CEO @ BlissClub

Why choose DataChannel for your Amazon S3 and Snowflake data integration

Granular control over pipeline configuration

Advanced scheduling options

Automated handling of source schema changes

Secure credential management with OAuth2

Activity & change history tracking

Real time alerts & failure notifications

Preview data without ever leaving the platform

Extensive documentation & on-screen help

Extensive Logs & complete visibility of pipeline health

About Amazon S3

Experience Reliability & Scalability With AWS Online Storage Solutions. Sign Up For Free! Enforce Data Access Controls, Secure Against Unauthorized Users & Run Big Data Analytics. In-Memory Caching. Secure Solutions. Highly Scalable. No Upfront Commitment.

Learn more about Amazon S3 API documentation.

Choose what data you would like to move from Amazon S3

CSV Data Report

This pipeline can be used to request and retrieve CSV files/folders (consisting similar structured CSV files). The transfer is enabled irrespective of whether CSV files are compressed or not.

JSON Data Report

This pipeline can be used to request and retrieve JSON files/folders (consisting similar structured JSON files). The transfer is enabled irrespective of whether JSON files are compressed or not.

Excel Data Report

This pipeline can be used to request and retrieve Excel files/folders (consisting similar structured Excel files). The transfer is enabled irrespective of whether Excel files are compressed or not.

Learn more about what data can be integrated into your data warehouse using DataChannel in the documentation here.

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Steps to Integrate Amazon S3 with Snowflake using DataChannel

From the DataSources section select Amazon S3 as the data source.
Select your added Snowflake data warehouse as the data destination. If you have not yet added a data warehouse, go to Data Warehouse tab and add a warehouse.
Authorize DataChannel to connect to your S3 Bucket account using the + icon with your Access Key, Secret Key, Bucket Name & AWS Location.
Click on + Data Pipeline to start adding data pipelines to your account.