Stripe to Amazon Redshift – Made easy

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Posted On: 19 Apr, 2021

Looking to replicate Stripe data into Amazon Redshift ?

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Replicate Stripe to Amazon Redshift in minutes 

Do you want to transfer data from Stripe to Amazon Redshift? Here is a quick and easy solution for data migration: Daton

With increasing competition, a data-driven approach is of paramount importance for modern businesses. E-Commerce sellers need to utilize their data to the fullest to stay ahead of their competition and make informed business decisions. Stripe generates data to improve marketing campaigns, provide customized customer support, improve inventory budget allocations. You will get a complete picture of the business if you analyze all the data generated from the various apps and tools. Data consolidation and analysis take a lot of time and effort to execute manually, with high chances of inaccurate insights. Thus, companies lose out on potential revenue.

 Integrating all the data sources into Amazon Redshift is a complicated process if you do not use a cloud data pipeline. Daton is a highly automated data pipeline that easily integrates various sources that a company may be using. It can automatically fetch Stripe data into a data warehouse like Amazon Redshift without any coding, enabling faster data analysis and reporting. 

Why integrate Stripe to Amazon Redshift? 

Payment Gateways like Stripe generate several relevant data such as payment dropouts, payment methods, fraud attempts, subscriber data. This data can provide meaningful insights, like when a customer used or searched the EMI option to make a payment, whether the payment is declined due to insufficient funds or security issues. Businesses can block the user to reduce losses in case of frauds. In case of payment decline, the customer might purchase again if remarketed later with a discount offer. When a user cancels a purchase or a subscription, you can then display discount offers or other benefits based on their reason for cancellation. Hence, reducing the subscription bounce rate for companies, increasing revenues. 

Thus the data coming from Stripe need to be fed into marketing tools to provide more personalized ads to customers. These feeds would help optimize the various processes and give a more personalized experience to customers, which would increase conversion rates and revenues. Various tools create different data silos, which makes generating reports and analyzing these data difficult, time-consuming and inaccurate. Top companies reduce the time & effort of reporting and analyzing their multiple data silos by integrating these massive amounts of data from Stripe to Amazon Redshift using Daton. 

Stripe Overview 

Stripe is a cloud-based payment platform designed to enable users to accept and monitor online transactions. It has robust features to process online payments and making it perfect for e-commerce or online businesses. The fully integrated payment platform provides an all-in-one solution to cover accepting, processing, settling and managing payments. Other features include customer interfaces, payment options, revenue optimization, business operations, fraud and disputes. The billing models allow you to bill customers with a single invoice on an automatically recurring basis. In addition to this, Stripe has a service for marketplaces and other payments platforms. You can use Stripe to accept money and payout to third-party systems. Simple infrastructure with pre-made UI components and an API-first approach for customization make Stripe a popular billing software. 

Amazon Redshift Overview 

Amazon Redshift is a fully managed, cloud-based, petabyte-scale data warehouse service by Amazon Web Services (AWS). The software provides a query engine for all users allowing SQL based querying and a host of business intelligence tools to connect with the service. Redshift has an architecture for columnar data storage makes it becomes effortless to access substantial amounts of data. The powerful management console enables connections from any SQL client. Amazon Redshift service also supports REST APIs allowing developers to work in real-time with simple API calls. Most Brands have several users accessing and querying Amazon Redshift, but this doesn’t affect query speed or performance. 

How to replicate Stripe to Amazon Redshift? 

There are two ways in which you can replicate Stripe to Amazon Redshift warehouse.   

Build Your data pipeline – Building an in-house data pipeline needs a lot of experience, time and manpower with higher chances of errors. You need to extract data using Stripe APIs & then connect it properly with the Amazon Redshift data warehouse. 

Use Daton to integrate Stripe & Amazon Redshift – Using Daton to integrate Stripe & Amazon Redshift is the fastest & easiest way to save your time and efforts. Leveraging a cloud data pipeline like Daton simplifies and accelerates the time to build automated reporting to a great extent. 

Configuring data replication on Daton on only takes a few minutes and a few clicks. Analysts do not have to write any code or manage any infrastructure, yet they can get access to their Amazon ads 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 Stripe data into Amazon Redshift. 

Daton takes care of: 

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

and many more important functions that are required to enable analysts to focus on analysis rather than worry about the data that is delivered for analysis.

 

Steps to Integrate Stripe with Daton 

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  • Sign in to Daton  
  • Select Stripe 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 Stripe login for authorizing Daton to extract data periodically 
  • Post successful authentication, you will be prompted to choose from the list of available Stripe 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 Stripe to Amazon Redshift Integration 

  • Faster Integration of Stripe to Amazon Redshift– Stripe to Amazon Redshift is one of the integrations Daton can handle very fast and seamlessly. By following few steps, you can easily connect Stripe to Amazon Redshift.  
  • Robust Scheduling Options: allows you to schedule jobs based on their requirements using a simple configuration step. 
  • 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. There is no infrastructure to manage or no code to write.  
  • Data consistency guarantee and an incredibly friendly customer support team ensure you can leave the data engineering to Daton and focus instead of 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 demands increase. 
  • Support for all major cloud data warehouses including Google BigQuery, Snowflake, Amazon Redshift, Oracle Autonomous Data Warehouse, PostgreSQL and more. 
  • Flexible loading options allows to you optimize data loading behavior to maximize storage utilization and easy of querying. 
  • Enterprise grade encryption gives your peace of mind 
  • Support for 100+ data sources – In addition to Stripe, 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 will ensure that you have a way to bring any data to Amazon Redshift and generate relevant insights. 

Use Daton to speed up data integration so that you can effectively automate reporting and data analysis to generate relevant business insights. 

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