to Snowflake – Made Easy

Posted By: editor
Posted On: 28 Jun, 2021

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For eCommerce businesses, along with running daily operations you may evaluate your performance and analyze your sales. This means you must collect transactional data and move it from the database that supports transactions to another system that can handle large volumes of data.

Now if you are using to send automated emails, push notifications, SMS, letters, and webhooks based on your customer’s activities in your app or product then you may want to gain control over behavioral data to personalize customer communication and drive engagement. Replicate your data from to Snowflake and ensure you always have up-to-date and accurate data to serve your customers better. Along with personalizing your emails and setting up new user segments, you will also have centralized storage for data analysis with Snowflake integration.

Now let’s check out two approaches on how you can move your data to Snowflake and also assess their benefits and drawbacks.

Why integrate to Snowflake? is a marketing platform for sending targeted and automated emails, push notifications, and messages to engage and retain the audience. Email Marketing Automation Tools like generate a lot of data like open rates, contact tracking, clicks, contact list, email campaign details, events, and much more. To get full statistics about the emails and messages you send with, transferring your data to a cost-effective and scalable data warehouse like Snowflake is the right choice. Integrate your data to Snowflake and get analysis-ready data every time you want to make powerful business decisions.

\ Overview is a popular platform for sending automated messages and emails to your customers, with a focus on security and privacy. With, you get complete information about your customers in one place and use it to create personalized messages and campaigns for them. Leveraging real-time behavioral data and advanced segmentation across the web and mobile channels, empowers marketers to send contextually relevant communication that creates a great customer experience leading to retention and conversion.

Snowflake Overview

Snowflake is a modern and easy-to-use analytics data warehouse designed for the cloud. It uses a new SQL database engine with unique architecture designed for the cloud. It offers far better performance, scalability, resiliency, and workload concurrency than any other cloud-based data warehouse in the market. What sets Snowflake apart is its architecture and data sharing capabilities. The Snowflake architecture allows storage and computes to scale independently, so customers can use and pay for computation and storage separately. Also, the sharing functionality makes it easy for organizations to quickly share governed and secure data in real-time.

How to replicate to Snowflake?

Here’s an overview of the two approaches you can use to replicate data to Snowflake. This will allow you to evaluate the pros and cons of both and choose the one that best suits your requirement.

Build your own data pipeline

This process needs a lot of experience and consumes a lot of time and manpower. The chances of errors are more due to multiple integrated steps to be executed one after the other. You need to extract data using APIs & then connect it properly with the Snowflake data warehouse. This whole process to build a custom data pipeline requires regular intervention that makes it cumbersome. 

Use Daton to integrate and Snowflake

Integrating and Snowflake with Daton is the fastest & easiest way to save your time and efforts. Leveraging a cloud data pipeline like Daton significantly simplifies and accelerates the time it takes to build automated reporting. 

Configuring data replication on Daton only takes a few minutes and a few clicks. Your analysts do not have to write any code or manage any infrastructure, yet you can get access to data in a few hours. 

Daton’s simple and easy-to-use interface allows analysts and developers to use UI elements to configure data replication from data into Snowflake.  

Daton takes care of: 

  • Authentication 
  • Rate limits
  • Sampling
  • Historical data load
  • Incremental data load
  • Table creation, deletion, and reloads
  • Refreshing access tokens
  • Notifications 

and many more important functions for data analysts to focus on analysis rather than worrying about the data migration. 

Steps to integrate with Daton


  • Sign in to Daton  
  • Select from the integrations page 
  • Provide Integration Name, Replication Frequency, and History. Integration name would be used in creating tables for the integration and cannot be changed later  
  • You will be redirected to log in for authorizing Daton to extract data periodically 
  • Post successful authentication, you will be prompted to choose from the list of available accounts 
  • Select required tables from the available list of tables 
  • Then select all required fields for each table 
  • Submit the integration

Sign up for a trial of Daton today!

Here are more reasons to explore Daton for to Snowflake Integration 

  • Faster integration – to Snowflake is one of the integrations Daton can handle very conveniently and seamlessly. By following few steps you can easily connect to Snowflake.  
  • Low Effort & Zero Maintenance – Daton automatically takes care of all the data replication processes and infrastructure once you sign up for a Daton account and configure the data sources. No need to manage infrastructure or write manual code.
  • Data consistency guarantee and an incredibly friendly customer support team ensure you can leave the data engineering to Daton and focus on analysis and insights! 
  • Enterprise-grade data pipeline at an unbeatable price to help every business become data-driven. Get started with a single integration today for just $10 and scale up as your data needs grow. 
  • Robust Scheduling Options: This allows you to schedule jobs based on their requirements using a simple configuration step. 
  • Support for all major cloud data warehouses including Google BigQuery, Snowflake, Amazon Redshift, Oracle Autonomous Data Warehouse, PostgreSQL, and more. 
  • Flexible loading options allow to you optimize data loading behavior to maximize storage utilization and ease of querying. 
  • Enterprise-grade encryption gives your peace of mind 
  • Support for 100+ data sources – In addition to, Daton can extract data from a varied range of sources such as Sales and Marketing applications, Databases, Analytics platforms, Payment platforms, and much more. 

Daton is a pre-built, zero-maintenance cloud data pipeline. It seamlessly replicates data from to Snowflake, without having you write lengthy pieces of code and no manual interventions.

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