Building an all-new data connector is challenging, especially when you are already overloaded with managing & maintaining your existing custom data pipelines. To fulfill an ad-hoc Recharge to Redshift connection request from your sales, finance & analytics team, you’ll have to invest a significant portion of your engineering bandwidth. We know you are short on time & need a quick way out of it. This can be a piece of cake for you if you just need to download and upload a couple of CSV files. Or you could directly opt for an automated tool that fully handles complex transformations and frequent data integrations for you.

Either way, with this article’s stepwise guide to connect Recharge to Redshift effectively, you can set all your worries aside and quickly fuel your data-hungry business engines in 8 nifty minutes.

How to Connect Recharge to Redshift?

Exporting & Importing data as CSV Files

For directly replicating data from Recharge to Redshift in the form of CSV files, follow the easy steps given below:

  • Step 1: Using Recharge’s Export Builder Tool, you can export your CSV files containing customer, order, and subscription data. Firstly, log into your Recharge account and click on Exports in the Merchant Portal.
  • Step 2; Click Create Exports. Click on the dropdown menu below the Select export type option, and choose your desired export.
  • Step 3: Specify your custom export name (optional) and your e-mail address. For a few selected reports, you can select a date range of up to 90 days. Finally, click on the Create Export button. You will receive an email with a download link. Click on the link and download your CSV file.
Recharge to Redshift - Export Data Link in Email
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You can also directly download a copy of the export from the main Exports page. Click the download icon under Actions to download the file as a CSV. 

Recharge to Redshift - Download option
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  • Step 4: You can now upload this CSV file to an Amazon S3 bucket using AWS CLI or the web console From there, you can import the CSV file to Redshift using the COPY command. 
COPY table_name
FROM 's3://<your-bucket-name>/load/file_name.csv'
credentials 'aws_access_key_id=<Your-Access-Key-ID>;aws_secret_access_key=<Your-Secret-Access-Key>'

Note that you will need to generate AWS Access and Secret Key to use the COPY command and complete the Recharge to Redshift data replication process.  

With the above 4-step approach, you can easily replicate data from Recharge to Redshift using CSV files and SQL queries. This method performs exceptionally well in the following scenarios:

  • Once in a Blue Moon Data Replication: When your business teams need this Google Drive data only quarterly, yearly, or just this one time, then the manual effort & time is justified.
  • Analysis-Ready Data: No to little data transformation is possible with this approach. Hence, it is ideal if the data in your spreadsheets is clean, standardized, and present in an analysis-ready form.
  • Low Volume Data: It can be a tedious task to repeatedly download & write SQL queries for uploading several CSV files. Moreover, if you are trying to get the business’s overall performance, merging these CSV files from multiple departments is time-consuming. Hence, this method is optimal for replicating only a few files.

However, when you need to monitor the complete cash flow of the business, you will have to get data from multiple sources in a single place. In this situation, manually downloading, integrating & cleaning data is not an efficient choice. Eventually, your engineering team will create and maintain custom data connectors. They will always be on guard for data leakage and have to fix any issues on priority. This takes up to 40-60 % of their bandwidth which was supposed to be used for their primary engineering goals.   

So is there an effective way out of this mess? Well, yes, you can…

Automate the Data Replication process using a No-Code Tool

Going all the way to write custom scripts for every new data connector request is not the most efficient and economical solution. Frequent breakages, pipeline errors, and lack of data flow monitoring make scaling such a system a nightmare.

You can streamline the Recharge to Redshift integration process by opting for an automated tool. To name a few benefits, you can check out the following:

  • It allows you to focus on core engineering objectives while your business teams can jump on to reporting without any delays or data dependency on you.
  • Your finance and analytics teams can effortlessly enrich, filter, aggregate, and segment raw Recharge data with just a few clicks.
  • The beginner-friendly UI saves the engineering team hours of productive time lost due to tedious data preparation tasks.
  • Without coding knowledge, your analysts can seamlessly create thorough reports for various business verticals to drive better decisions. 
  • Your business teams get to work with near-real-time data with no compromise on the accuracy & consistency of the analysis. 
  • You get all your analytics-ready data in one place. This lets you quickly measure your business performance and deep dive into your Recharge data to explore new market opportunities.

As a hands-on example, you can check out how Hevo, a cloud-based No-code ETL/ELT Tool, makes the Recharge to Redshift data replication effortless in just 2 simple steps:

  • Step 1: To get started with replicating data from Recharge to Redshift, configure Recharge as a source by providing your Recharge credentials.
Recharge to Redshift - Configure Recharge as a Source
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  • Step 2: Configure Redshift as your destination and provide your Redshift credentials.
Recharge to Redshift - Configure Redshift as a Destination
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In a matter of minutes, you can complete this No-Code & automated approach of connecting Recharge to Redshift using Hevo and start analyzing your data.

The pipeline will automatically replicate new and updated data from Xero to Databricks every hour(by default). However, you can also adjust the Recharge to Redshift data replication frequency per your requirements.

Data Replication Frequency

Default Pipeline FrequencyMinimum Pipeline FrequencyMaximum Pipeline FrequencyCustom Frequency Range (Hrs)
1 Hr1 Hr24 Hrs1-24

Hevo’s fault-tolerant architecture ensures that the data is handled in a secure, consistent manner with zero data loss. It also enriches the data and transforms it into an analysis-ready form without writing a single line of code.

Hevo’s reliable data pipeline platform enables you to set up zero-code and zero-maintenance data pipelines that just work. By employing Hevo to simplify your Recharge to Redshift data integration needs, you get to leverage its salient features:

  • Reliability at Scale: With Hevo, you get a world-class fault-tolerant architecture that scales with zero data loss and low latency. 
  • Monitoring and Observability: Monitor pipeline health with intuitive dashboards that reveal every state of the pipeline and data flow. Bring real-time visibility into your ELT with Alerts and Activity Logs. 
  • Stay in Total Control: When automation isn’t enough, Hevo offers flexibility – data ingestion modes, ingestion, and load frequency, JSON parsing, destination workbench, custom schema management, and much more – for you to have total control.    
  • Auto-Schema Management: Correcting improper schema after the data is loaded into your warehouse is challenging. Hevo automatically maps the source schema with the destination warehouse so that you don’t face the pain of schema errors.
  • 24×7 Customer Support: With Hevo, you get more than just a platform, you get a partner for your pipelines. Discover peace with round-the-clock “Live Chat” within the platform. What’s more, you get 24×7 support even during the 14-day full-feature free trial.
  • Transparent Pricing: Say goodbye to complex and hidden pricing models. Hevo’s Transparent Pricing brings complete visibility to your ELT spend. Choose a plan based on your business needs. Stay in control with spend alerts and configurable credit limits for unforeseen spikes in the data flow. 
Get started for Free with Hevo!

What can you achieve by replicating data from Recharge to Redshift?

Replicating data from Recharge to Redshift can help your data analysts get critical business insights. Here’s a short list of questions that this data integration helps answer:

  • How does CMRR (Churn Monthly Recurring Revenue) vary by Marketing campaign?
  • How much of the Annual Revenue was from In-app purchases?
  • Which campaigns have the most support costs involved?
  • For which geographies are marketing expenses the most?
  • How does your overall business cash flow look like?
  • Which sales channel provides the highest purchase orders?

Employing an automated tool allows you to get a 360 view of your business performance and lets you easily integrate Recharge data with multiple sources in Redshift. This provides better clarity to your business teams on the company’s financial health.

Putting It All Together

Manual downloading of CSV files can be absolute bliss if you rarely get Recharge data requests from your analytics teams. But what happens when your business teams need fresh data every few hours from various sources? You will be forced to burden your engineering team with building and managing custom data pipelines. Or you can remove this dependency by opting for an automated solution like Hevo data that offers 150+ plug-and-play integrations(including 40+ free sources like Recharge).

Visit our Website to Explore Hevo

Saving countless hours of manual data cleaning & standardizing, Hevo Data’s pre-load data transformations get it done in minutes via a simple drag n-drop interface or your custom python scripts. No need to go to your data warehouse for post-load transformations. You can simply run complex SQL transformations from the comfort of Hevo’s interface and get your data in the final analysis-ready form. 

Want to take Hevo for a spin? Sign Up for a 14-day free trial and simplify your data integration process. Check out the pricing details to understand which plan fulfills all your business needs.

Share your experience of connecting Recharge to Redshift! Let us know in the comments section below!

Sanchit Agarwal
Former Research Analyst, Hevo Data

Sanchit Agarwal is a data analyst at heart with a passion for data, software architecture, and writing technical content. He has experience writing more than 200 articles on data integration and infrastructure. He finds joy in breaking down complex concepts in simple and easy language, especially related to data base migration techniques and challenges in data replication.

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