Braintree is one of the most popular payment gateway payment systems for mobile and web transactions. It provides advanced features like chargebacks and fraud detection to secure online payment processing. With options to accept bank transfers and ACH with a reduced transaction fee for recurring donations, Braintree is a leading candidate for processing payments for nonprofits.
Since vast payment data is on these online platforms, you can draw insights by connecting Braintree to Redshift. Redshift supports multi-cloud infrastructure environments and enables quick and efficient data analysis by running its queries on multiple compute clusters.
This article discusses the two integration methods you can use for Braintree to Redshift migration.
What is Braintree?
Braintree is an online payment gateway owned and operated by PayPal since 2013. However, it features additional payment methods, some of which are not supported by Paypal. It is an excellent option for businesses seeking a merchant account with a no-cost PayPal integration. Braintree offers web technology solutions to enterprises for their mobile and web payments. It is a full-stack platform that does not necessitate traditional models of sourcing payment gateways.
Braintree services cover international payments, reduced nonprofit transaction rates, affordable rates for ACH deposits, and credit card data portability. An existing merchant can obtain customer information and credit card data upon request in a PCI-compliant manner.
If you are interested in availing of Braintree services, it offers a “sandbox” version that lets you try the software without creating a merchant account. To use Braintree services, you can later sign up with an official ID, address proof, bank statements, and IRS SS4 letter.
Key Features of Braintree
Braintree offers a robust set of features via its building blocks that allow merchants to create their own payment infrastructure and help you identify opportunities to expand your business. Some of these core features include:
- Reduced Friction at Checkout: Braintree’s checkout feature is designed to be seamless and safe in both subscriptions: ready-made UI and tailor-made. Users can checkout with just a few clicks without any hassle. It reduces cart abandonment and encourages recurring transactions via the platform.
- Determinable Interface: Braintree offers its Drop-in-UI for a seamless checkout experience. The company also allows you to create a more customized experience via Custom UI. You can tailor your checkout flow to provide a flexible and ownable payment gateway that is still compliant with PCI SAQ A.
- Advanced Fraud Protection: Braintree offers both standard and advanced levels of protection against fraud. Their payment system helps identify and act on potential threats. Braintree utilizes its data-driven authentication with ‘3D Secure 2’, a new and robust customer authentication solution.
- Consistent Advantages: Braintree’s advantages are consistent for all customers regardless of their chosen features. The global enterprise provides robust reports, white-glove support (merchant support, sales, and account management), and business suggestions.
What is Amazon Redshift?
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 simultaneously. 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 Amazon 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 and 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.
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What are the Methods to Connect Braintree to Redshift?
Integrating Braintree to Redshift opens doors for in-depth analysis in a no-shared architecture of virtual warehouses. You can carry out multiple computations simultaneously without compromising on resources and efficiency.
Method 1: Connect Braintree to Redshift using Hevo Data
Hevo Data supports the Sandbox and Production environments for Braintree and uses the Braintree Server Integrations to replicate your Braintree account data to Redshift. Hevo Data is a fully-managed, Automated No-code Data Pipeline that can load data from 150+ Sources (including 40+ free sources).
Configure Braintree as the Source
To configure Braintree as a source in Braintree to Redshift Integration, follow the steps given below:
- Step 1: Click PIPELINES in the Asset Palette.
- Step 2: Next, click +CREATE in the Pipelines List View to connect Braintree to Redshift.
- Step 3: Then, on the Select Source Type page, select Braintree Payments.
- Step 4: In the Configure your Braintree Payments Source page in Braintree to Redshift Integration, mention the following:
- Public Key: The public key that you got from your Braintree Payments account. You can refer to the section Obtaining the Public, Private API Keys, and Merchant ID for steps to obtain the public key for your environment.
- Pipeline Name: A unique name for your pipeline, not exceeding 255 characters.
- Private Key: It refers to the private key that you obtained from your Braintree Payments account. You can refer to the section Obtaining the Public, Private API Keys, and Merchant ID for steps to obtain the private key for your environment.
- Merchant ID: This is the ID for your merchant account. You can refer to the section Obtaining the Public, Private API Keys, and Merchant ID for steps to obtain the Merchant ID.
- Historical Sync Duration: The duration for which the existing data in the source needs to be ingested. The default value is 3 months.
- Step 5: Click TEST & CONTINUE to complete Braintree to Redshift Connection.
- Step 6: Proceed to configure the data ingestion and configure the destination in Braintree to Redshift Integration.
Configure Redshift as a Destination
To set up Amazon Redshift as a destination in Braintree to Redshift Connection, follow these steps:
- Step 1: In the Asset Palette, select DESTINATIONS.
- Step 2: In the Destinations List View, click + CREATE to connect Braintree to Redshift.
- Step 3: Select Amazon Redshift from the Add Destination page.
- Step 4: Set the following parameters on the Configure your Amazon Redshift Destination page in the Braintree to Redshift Connector:
- 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 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 in Braintree to Redshift Connection.
- Step 6: When the test is complete, select SAVE DESTINATION to finish Braintree to Redshift Integration.
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Method 2: Manually Connect Braintree to Redshift
To connect Braintree to Redshift manually, follow the steps given below:
Extracting Data From Braintree
The first step in Braintree to Redshift Connection is extracting data from Braintree. Braintree, much like other payment gateways, makes its application programming interface (API) available to developers so that its products can be integrated with various forms of payment. The following are some of the clients or SDKs that Braintree provides in order to gain access to this API:
Preparing the Data
The next step in Braintree to Redshift Integration is to prepare the data. Amazon Redshift is designed to manage very large datasets and provide high-performance analysis. It is built on top of the industry-standard query language SQL and includes additional functionality. You will need to follow its data model, which is a typical relational database model, in order to load your data into it so that it can be accessed.
You should map the data that you extract from your data source into tables and columns after you have done so. In this case, you can think of the table as a map that leads to the resource that you want to store, and the columns will be the attributes of that resource.
You need to be careful about the data that you feed into Amazon Redshift and make sure that you have mapped your types into one of the data types that are supported by Amazon Redshift. This is because your data are probably coming in a representation such as JSON, which supports a much smaller range of data types. The process of designing a Schema for Amazon Redshift and mapping the data from your data source to it is one that you should take seriously because it has the potential to affect both the performance of your cluster as well as the questions you are able to answer.
When designing an Amazon Redshift database, it is always a good idea to keep in mind the best practices that Amazon has published regarding the structure of the database. As soon as you have reached a decision regarding the structure of your database, you will need to load your data onto one of the data sources that Redshift is able to accept as input. These data sources are as follows:
- Amazon S3
- Amazon DynamoDB
- Amazon Kinesis Firehose
Loading Data into Redshift
The last step in Braintree to Redshift Connection is to load the data into Amazon Redshift. Amazon Redshift allows users to load data using one of two different methods. The first way is to carry out an operation known as an INSERT command. You can perform an INSERT command for your data after connecting your client to your Amazon Redshift instance using either a JDBC or an ODBC connection. You have the option of using either one of these connections.
insert into category_stage values
(12, 'Concerts', 'Comedy', 'All stand-up comedy performances');
Amazon Redshift is not intended to be used for operations similar to INSERT. On the contrary, the most time- and resource-effective method for loading data into Redshift is to perform bulk uploads using the COPY command. You can use the COPY command to copy data that is stored in flat files on S3 or that comes from a table in Amazon DynamoDB. Amazon Redshift is able to read multiple files simultaneously when you perform COPY commands, and it automatically distributes the workload to the cluster nodes and performs the load in parallel.
This is made possible by the fact that Amazon Redshift is able to read multiple files in parallel. The COPY command is extremely versatile and can be used in a variety of different ways, depending on the context in which it is being applied. The following command is all that is required to perform a COPY operation on Amazon S3 to connect Braintree to Redshift:
Limitations of Connecting Braintree to Redshift Manually
Unfortunately, there are no direct ways for a non-technical person to connect Braintree to Redshift. It is, however, feasible to retrieve Braintree data manually and then importing to Redshift. The above steps to fetch Braintree data seem convenient, but it will take a lot of time if you manually search and download the required data.
Additionally, you will have to do the same repeatedly for each section in Braintree to Redshift Connection, Vault, Verifications, Subscriptions, etc. Manual integration of Braintree to Redshift is, therefore, a time-ineffective process. This is why you may opt for assistance from low-code or no-code integration service providers like Hevo, which can work as a connector for Braintree and Redshift.
What can you achieve by replicating data from Braintree to Redshift?
By migrating your data from Braintree to Redshift, you will be able to help your business stakeholders find the answers to these questions:
- 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?
- Which campaign is more profitable?
- How does your overall business cash flow look like?
- Which sales channel provides the highest purchase orders?
This article discusses two online solutions: Braintree, a web payment gateway that provides user-friendly interfaces for businesses to receive payments online, and Redshift, a cloud data warehouse, and how to connect Braintree to Redshift. Amazon Redshift can enhance your data analysis by providing secure and controlled data access throughout the enterprise. However, you need to fetch Braintree data using third-party ETL tools and store it in Redshift, as manually integrating would only bring several data quality issues.
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 can help!
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