PayPal Enterprise Payments connector

Set up the PayPal Enterprise Payments connector in Kaivo: authentication, configuration, the BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated 18 minutes ago

Kaivo is a fully managed data platform that syncs your PayPal Enterprise Payments data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your payment and finance data instead of moving it.

What is the PayPal Enterprise Payments connector

Sync your Braintree payments, transactions, and disputes into BigQuery with Kaivo to report on revenue and reconcile settlements alongside the rest of your business.

CategoryFinance & Payments
StatusGenerally available
AuthenticationAPI key
SetupSelf-service

Getting started with the PayPal Enterprise Payments connector

  1. Sign up for Kaivo and create a workspace.
  2. Connect your PayPal Enterprise Payments account.
  3. Choose which tables to sync.
  4. Wait for the initial sync to finish.
  5. Query your data in BigQuery or your favourite AI or BI tool.

Authenticating PayPal Enterprise Payments

Authenticate with your Private Key.

FieldDescription
Private Key

Your Private Key for authentication. See this help article on how to get this value.

Configuring the PayPal Enterprise Payments connector

When you set up the connector, you provide:

FieldDescription
Merchant ID

The identifier for your Braintree account. See this help article on how to get this value.

Public Key

Your Public Key for authentication. See this help article on how to get this value.

Start Date

Any data before this date will not be fetched.

Tables and columns synced from PayPal Enterprise Payments

The streams and columns for this connector aren't listed automatically yet.

How the PayPal Enterprise Payments sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where PayPal Enterprise Payments supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.

Frequently asked questions

How long does the initial sync take for PayPal Enterprise Payments?

It depends on how much history is in your PayPal Enterprise Payments account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.

Can I sync only some tables or columns?

Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.

What happens when PayPal Enterprise Payments's schema changes?

New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in PayPal Enterprise Payments, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.

How do I handle GDPR or data deletion requests?

Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in PayPal Enterprise Payments instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the PayPal Enterprise Payments connector in Kaivo and all of its synced data is deleted with it.

Common use cases for PayPal Enterprise Payments data

Revenue reporting

Track transactions over time to monitor revenue, refunds, and net settlement.

Dispute monitoring

Analyse disputes and chargebacks to spot fraud and the revenue at risk.

Payment success

Measure authorisation and decline rates so you can recover failed payments.

Subscription tracking

Report on recurring billing to follow active subscriptions and churn.

Use PayPal Enterprise Payments data in your AI and BI tools

Once PayPal Enterprise Payments data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with PayPal Enterprise Payments data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →

Data Studio

Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide →

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →

Excel

Connect via Power Query's BigQuery connector. Setup guide →

Metabase

Open-source BI tool with strong BigQuery support. Setup guide →

See our pricing page for PayPal Enterprise Payments connector pricing and plan details.