Stripe to Databricks

This page provides you with instructions on how to extract data from Stripe and load it into Delta Lake on Databricks. (If this manual process sounds onerous, check out Stitch, which can do all the heavy lifting for you in just a few clicks.)

What is Stripe?

Stripe is a software-as-a-service (SaaS) platform that lets businesses accept payments online and in mobile apps.

What is Delta Lake?

Delta Lake is an open source storage layer that sits on top of existing data lake file storage, such AWS S3, Azure Data Lake Storage, or HDFS. It uses versioned Apache Parquet files to store data, and a transaction log to keep track of commits, to provide capabilities like ACID transactions, data versioning, and audit history.

Getting data out of Stripe

You can get data off of Stripe's servers using the Stripe REST API, which exposes information about core resources, payment methods, subscriptions, and more. To get a list of all customers, for instance, you could call GET /v1/customers.

Sample Stripe data

The Stripe API returns JSON-formatted data. Data from a call to retrieve customers might look like this.

{
  "object": "list",
  "url": "/v1/customers",
  "has_more": false,
  "data": [
    {
      "id": "cus_BykTW2x4M6Yrrt",
      "object": "customer",
      "account_balance": 0,
      "created": 1513697132,
      "currency": "usd",
      "default_source": null,
      "delinquent": false,
      "description": null,
      "discount": null,
      "email": null,
      "livemode": false,
      "metadata": {
      },
      "shipping": null,
      "sources": {
        "object": "list",
        "data": [
    
        ],
        "has_more": false,
        "total_count": 0,
        "url": "/v1/customers/cus_BykTW2x4M6Yrrt/sources"
      },
      "subscriptions": {
        "object": "list",
        "data": [
    
        ],
        "has_more": false,
        "total_count": 0,
        "url": "/v1/customers/cus_BykTW2x4M6Yrrt/subscriptions"
      }
    },
    {...},
    {...}
  ]
}

Preparing Stripe data

Now you need to parse the JSON in the API response and map each column to a corresponding field in a table in the destination database. You'll have to know the datatypes for each field. The Stitch Stripe Docs can give you a sense of what datatypes will come through the API.

Loading data into Delta Lake on Databricks

To create a Delta table, you can use existing Apache Spark SQL code and change the format from parquet, csv, or json to delta. Once you have a Delta table, you can write data into it using Apache Spark's Structured Streaming API. The Delta Lake transaction log guarantees exactly-once processing, even when there are other streams or batch queries running concurrently against the table. By default, streams run in append mode, which adds new records to the table. Databricks provides quickstart documentation that explains the whole process.

Keeping Stripe data up to date

So, now what? You've built a script that pulls data from Stripe and loads it to your destination, but what happens tomorrow when you have hundreds of new transactions?

The key is to build your script in such a way that it can also identify incremental updates to your data. Thankfully, Stripe's API results include fields like "created" that allow you to identify records that are new since your last update (or since the newest record you've copied). Once you've taken new transactions into account, you can set up your script as a cron job or continuous loop to keep pulling down new data as it appears.

Other data warehouse options

Delta Lake on Databricks is great, but sometimes you need to optimize for different things when you're choosing a data warehouse. Some folks choose to go with Amazon Redshift, Google BigQuery, PostgreSQL, or Snowflake, which are RDBMSes that use similar SQL syntax, or Panoply, which works with Redshift instances. Others choose a data lake, like Amazon S3. If you're interested in seeing the relevant steps for loading data into one of these platforms, check out To Redshift, To BigQuery, To Postgres, To Snowflake, To Panoply, and To S3.

Easier and faster alternatives

If all this sounds a bit overwhelming, don’t be alarmed. If you have all the skills necessary to go through this process, chances are building and maintaining a script like this isn’t a very high-leverage use of your time.

Thankfully, products like Stitch were built to move data from Stripe to Delta Lake on Databricks automatically. With just a few clicks, Stitch starts extracting your Stripe data, structuring it in a way that's optimized for analysis, and inserting that data into your Delta Lake on Databricks data warehouse.