Xero is an Online Accounting Software that highlights facts such as bank balances, outstanding invoices, upcoming payments, and expenditure claims to help business owners understand their financial flow.

Amazon Redshift is a well-known Data Warehouse that offers a wide range of features and efficiency. It contains a vast volume of unprocessed data collected from a variety of sources. Data Modeling Tools assist in the interpretation of this data by providing a platform that allows you to model data quickly and efficiently.

In this article, you will learn about Xero, Amazon Redshift, and its features. You will also learn how to connect Xero to Redshift in two methods.

What is Xero?

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Xero is a cloud-based accounting solution that is simple to use for growing businesses. Thanks to Xero, businesses can now handle invoices, payroll, bank reconciliation, purchasing, expenses, bookkeeping, and more all in one place. Due to its interoperability with over 800 add-on apps and features such as comprehensive, easy-to-use Accounting tools and unlimited user access, Xero is a popular choice for over 2 million users.

Xero can help firms run more smoothly by automating procedures like reporting and invoicing. You can track transactions and get a better understanding of your cash flow by connecting your bank account to Xero. Your data is always up to date with Xero because it functions in near real-time.

Key Features of Xero

The following are some of Xero’s important features:

  • Infinite Users: At each membership level, you can add an unlimited number of people to your account. While adding new users, the account owner can also assign permission levels to them.
  • Collaboration: Small businesses and advisers may easily connect and interact thanks to Xero’s collaboration features. You can make a user for your accountant and give them access to the system.
  • Management and Expense Tracking: Xero maintains track of your inventory and allows you to easily create and submit purchase orders if you need to reorder. By integrating your bank and credit card accounts straight to Xero, you can easily categorize and split transactions.
  • Easy to Use: Adding a customer, connecting your business bank account, and making your first invoice are all simple and quick tasks. In Xero, there is also a Customizable Dashboard, which is time-saving.
  • Financial Reports: Using Xero’s amazing interface, users can translate their data into meaningful actionable insights that can be mapped into 100 various financial reports, such as Budgets, Balance Sheets, and Income Statements. Change the formatting and add your own calculations and categories to personalize your reports.
  • Online Invoicing: By logging in, you can access your cash flow statements from any system. Files, such as documents or photographs, can be linked to invoices.

What is Amazon Redshift?

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Amazon Redshift is a cloud-based and fully managed petabyte-scale Data Warehousing service. It enables you to begin with a few gigabytes of data and scale up to a petabyte or more. Amazon Redshift organizes data into clusters that can be examined at the same time. As a result, Amazon Redshift data may be retrieved quickly and easily. Users and apps can access each node independently.

Amazon Redshift can be utilized with a variety of SQL-based clients, as well as a variety of Data Sources and Data Analytics tools. It has a solid architecture that makes interacting with a variety of business intelligence tools a breeze.

Each Redshift Data Warehouse is fully managed, which means administrative chores such as backup creation, security, and setup are all handled automatically.

Key Features of Amazon Redshift

  • Column-oriented Databases: In a database, data can be organized into rows or columns. Row-orientation databases make up a large percentage of OLTP databases. In other words, these systems are built to perform a huge number of minor tasks such as DELETE, UPDATE, and so on. When it comes to accessing large amounts of data quickly, a column-oriented database like Redshift is the way to go. Redshift focuses on OLAP operations. The SELECT operations have been improved.
  • Secure End-to-end Data Encryption: All businesses and organizations must comply with data privacy and security regulations, and encryption is one of the most important aspects of data protection. Amazon Redshift uses SSL encryption for data in transit and hardware-accelerated AES-256 encryption for data at rest. All data saved to the disc is encrypted, as are any backup files. You won’t need to worry about key management because Amazon will take care of it for you.
  • Massively Parallel Processing (MPP): Redshift, like Netezza, is an MPP appliance. MPP is a distributed design approach for processing large data sets that employ a “divide and conquer” strategy among multiple processors. A large processing work is broken down into smaller tasks and distributed among multiple compute nodes. To complete their calculations, the compute node processors work in parallel rather than sequentially.
  • Cost-effective: Amazon Redshift is the most cost-effective cloud data warehousing alternative. The cost is estimated to be a tenth of the cost of traditional on-premise warehousing. Consumers simply pay for the services they use; there are no hidden costs. You may discover more about pricing on the Redshift official website.
  • Scalable: Amazon Redshift, a petabyte-scale data warehousing technology from Amazon, is scalable. Redshift from Amazon is simple to use and scales to match your needs. With a few clicks or a simple API call, you can instantly change the number or kind of nodes in your Data Warehouse, and scale up or down as needed.
Explore These Methods to Connect Xero to Redshift

Xero is a highly efficient cloud-based accounting solution that can be used to convert data into meaningful insights. Also, Amazon Redshift is a data warehouse known for ingesting data instantaneously and performing almost real-time analysis. When integrated together, moving data from Xero to Redshift could solve some of the biggest data problems for businesses. In this article, we have described two methods to achieve this:

Method 1: Xero to Redshift Integration using Hevo

Hevo Data, an Automated Data Pipeline, provides you a hassle-free solution to connect Xero to Redshift within minutes with an easy-to-use no-code interface. Hevo is fully managed and completely automates the process of not only loading data from Xero but also enriching the data and transforming it into an analysis-ready form without having to write a single line of code.


Method 2: Xero to Redshift Manual Integration

This method would be time-consuming and somewhat tedious to implement. Users will have to write custom codes to enable two processes, streaming data from Xero and ingesting data into Redshift through Salesforce. This method is suitable for users with a technical background.

Both the methods are explained below.

Xero to Redshift Integration

There are two ways to perform Xero to Redshift Integration. The first method is by connecting Xero to Salesforce and then connecting Salesforce to Redshift. The other way is to connect Xero to Redshift using Hevo.

Method 1: Xero to Redshift Integration using Hevo

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Hevo provides Amazon Redshift as a Destination for loading/transferring data from any Source system, which also includes Pardot. You can refer to Hevo’s documentation for Permissions, User Authentication, and Prerequisites for Amazon Redshift as a destination here

Configuring Xero as a Source

  • Step 1: In the Asset Palette, select PIPELINES.
  • Step 2: In the Pipelines List View, click + CREATE.
  • Step 3: Select Xero from the Select Source Type page.
  • Step 4: Click + ADD XERO ACCOUNT on the Configure your Xero account page.
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  • Step 5: Go to your Xero account and log in.
  • Step 6: Select the organization whose data you wish to access from the drop-down menu.
  • Step 7: To grant Hevo access to the data of the specified organization, click Allow Access.
  • Step 8: Add the following to the Configure your Xero Source page:
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  • Pipeline Name: A name for the pipeline that is unique and does not exceed 255 characters.
  • Select Organizations: Choose one or more organizations from which to ingest data. Keep in mind that you must separately authorize Hevo for each organization you choose.

Click + Add another Organization and repeat Steps 6 and 7 to add other organizations to Xero to Redshift Connection. In the Select Organizations drop-down, the organization(s) you added are now accessible to choose from.

  • Historical Sync Duration: The amount of time that the previous data must be consumed. 1 year is the default setting.
  • Step 9: Select TEST & CONTINUE from the drop-down menu.
  • Step 10: Check the boxes next to the objects you wish to copy to your Destination.
  • Step 11: Finish arranging the data ingestion and establishing the Destination.

Configure Redshift as a Destination

To set up Amazon Redshift as a destination in Hevo for Xero to Redshift Connection, follow these steps:

  • Step 1: In the Asset Palette, select DESTINATIONS.
  • Step 2: In the Destinations List View, click + CREATE.
  • Step 3: Select Amazon Redshift from the Add Destination page.
  • Step 4: Set the following parameters on the Configure your Amazon Redshift Destination page for Xero to Redshift Integration:
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  • Destination Name: Give your destination a unique name.
  • Database Cluster Identifier: The IP address or DNS of the Amazon Redshift host is used as the database cluster identifier.
  • Database Port: The port on which your Amazon Redshift server listens for connections is known as the database port. 5439 is the default value.
  • Database User: In the Redshift database, a user with a non-administrative position.
  • Database Password: The user’s password.
  • Database Name: The name of the destination database into which the data will be loaded.
  • Database Schema: The Destination database schema’s name. The default setting is public.
  • Step 5: To test connectivity with the Amazon Redshift warehouse, click Test Connection.
  • Step 6: When the test is complete, select SAVE DESTINATION.

Method 2: Xero to Redshift Manual Integration

Xero to Salesforce Integration

  • Step 1: The first step in integrating Xero with Salesforce is to set up an authentication provider in your Salesforce account. To do so, go to Setup and select Security Controls from the drop-down menu. Select New from the Authentication Providers menu. Now, enter your credentials in the following format:
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Now save and copy the URL that has been produced.

  • Step 2: Creating a new Xero App is the next step in the Xero Salesforce Integration process. Navigate to My Apps on the Xero App website and create a new app. Give your App a distinct name and a URL that points to Salesforce. Now paste the URL you copied before. There will be a Client Id and a Client Secret produced. Copy and paste these credentials into the Authorization Provider you generated earlier.
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  • Step 3: The next step in the Xero Salesforce Integration process is to visit the official Salesforce website, navigate to Setup, and select New Named Credential. Assign a Label and a Name to the New Named Credential. Now fill in the blanks with the remaining information:
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  • Step 4: The Xero Salesforce Integration process comes to a close with this phase. Now, in the Salesforce environment, install the Apex package for Xero Salesforce Integration listed below.


You must now obtain the Xero Tenant Id and create a Custom Label based on the Tenant Id. You can use the following Apex Method to retrieve the Tenant:


Copy the value returned by the previous method. Go to Custom Labels, click on Xero Tenant Id, and paste the copied value into the Setup box.

You have finished the Xero Salesforce Integration successfully. Now, you can move on to connecting Salesforce to Redshift for Xero to Redshift Integration.

Salesforce to Redshift Integration

The next step to connect Xero to Redshift is connecting Salesforce to Redshift. The following procedures can be used to manually export Amazon Redshift data as CSV files in order to set up Amazon Redshift Salesforce Integration:

  • Step 1: Open the Amazon S3 Console by logging into your AWS account to connect Xero to Redshift.
  • Step 2: Select Create Bucket from the drop-down menu.
  • Step 3: Choose a good Bucket Name based on your needs. It’s vital to note, however, that Amazon S3 Buckets must have distinct names across the board, therefore it should be named appropriately. Click Create Bucket after selecting an appropriate region and unchecking Block all Public Access.
  • Step 4: Make a note of the URL for this bucket and put it somewhere safe.
  • Step 5: Use an SQL Client such as SQL Workbench/J, Aginity Pro, Jetbrains DataGrip, or others, to connect to your Amazon Redshift Cluster from which you want to export data.
  • Step 6: The UNLOAD query can be used to export data from the Amazon Redshift Cluster and load it into Amazon S3. The UNLOAD query has the following syntax:
UNLOAD ('select-statement')
TO 's3://object-path/name-prefix'
[ option [ ... ] ]
where option is
| PARTITION BY ( column_name [, ... ] ) [ INCLUDE ]
| HEADER           
| DELIMITER [ AS ] 'delimiter-char' 
| FIXEDWIDTH [ AS ] 'fixedwidth-spec'   
| BZIP2  
| NULL [ AS ] 'null-string'
| PARALLEL [ { ON | TRUE } | { OFF | FALSE } ]
| MAXFILESIZE [AS] max-size [ MB | GB ] 
| REGION [AS] 'aws-region' }
  • Step 7: From the Amazon S3 Bucket, you can now download the exported data.
  • Step 8: Log in to your Salesforce account and search for Data Import Wizard in the Quick Box.
  • Step 9: Select Launch Wizard from the drop-down menu.
  • Step 10: Select Standard Objects if you want to import contacts, accounts, person accounts, leads, articles, or solutions. Click Custom Objects if you want to import custom objects in Xero to Redshift Integration.
  • Step 11: Choose whether to create new Salesforce records, edit existing records, or add and update records at the same time.
  • Step 12: Drag the CSV file from Amazon Redshift to the upload portion of the page for Xero to Redshift Integration.
  • Step 13: Because the data was exported as a CSV file, make sure the value separator is set to a comma and then click Next.
  • Step 14: The Salesforce Data Import Wizard will now attempt to automatically match as many properties as possible. The remaining ones will need to be manually mapped. Each unmapped field has a Map button to the left of it. You can search for and select up to ten qualities to map within the Map Your Field box, then click Map. If you want to change any of the automatically mapped attributes, click the Change button to the left of the attribute, erase the Salesforce mapping, select the Salesforce attribute you want to map it to, and then click Map. Click Next once all of the properties have been mapped to the requirements.
  • Step 15: A Review Page will now appear, displaying a summary of all the import settings as well as the attribute mapping. Start Import if you don’t want to make any changes. This is the last step in Xero to Redshift Integration.

When the import is finished, Salesforce will have all of the necessary data. The manual Amazon Redshift Salesforce Integration is now complete. With this, the Xero to Redshift Integration is also completed.


In this article, you learned how to configure Xero to Redshift along with key features of both Xero and Redshift.

However, as a Developer, extracting complex data from a diverse set of data sources like Databases, CRMs, Project management Tools, Streaming Services, and Marketing Platforms to your Database can seem to be quite challenging. If you are from non-technical background or are new in the game of data warehouse and analytics, Hevo Data can help!

Visit our Website to Explore Hevo

Hevo Data will automate your data transfer process, hence allowing you to focus on other aspects of your business like Analytics, Customer Management, etc. This platform allows you to transfer data from 100+ multiple sources to Cloud-based Data Warehouses like Snowflake, Google BigQuery, Amazon Redshift, etc. It will provide you with a hassle-free experience and make your work life much easier.

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Former Content Writer, Hevo Data

Sharon is a data science enthusiast with a passion for data, software architecture, and writing technical content. She has experience writing articles on diverse topics related to data integration and infrastructure.

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