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

Integrate Azure Blob Storage with Snowflake in minutes

Enter your Azure Blob Storage 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

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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."

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Founder & CEO @ BlissClub

Why choose DataChannel for your Azure Blob Storage 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 Azure Blob Storage

Azure Blob Storage is Microsoft’s object storage solution for the cloud. Blob Storage is optimized for storing massive amounts of unstructured data. Unstructured data is data that doesn’t adhere to a particular data model or definition, such as text or binary data.

Learn more about Azure Blob Storage.

Choose what data you would like to move from Azure Blob Storage

CSV

‍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

‍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

‍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.

Steps to Integrate Azure Blob Storage with Snowflake using DataChannel

From the DataSources section select Azure Blob Storage 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 Azure Blob Storage account using the (+) icon with your Storage Account Name, Account Key & Endpoint Suffix. Read more about how to find these details here.
Click on + Data Pipeline to start adding data pipelines to your account.