Oracle PeopleSoft and HubSpot integration

What moves between them

The main flow is from Oracle PeopleSoft into HubSpot. Employee records from PeopleSoft sync into HubSpot as contacts, carrying name, email, phone, job title, and department. Vendors and customers in PeopleSoft sync into HubSpot as companies, preserving vendor name, address, and contact status. The sync runs on a schedule you control, typically once per night or per pay cycle, and includes all new, modified, and terminated records since the last poll. HubSpot contacts and companies are not written back to PeopleSoft.

How ml-connector handles it

ml-connector stores the customer's PeopleSoft hostname, port, node name, and OPRID credentials encrypted, and for each request constructs the Integration Broker REST endpoint using those values and authenticates with HTTP Basic Auth. On the HubSpot side it uses the private app access token as a bearer token and polls at the /crm/objects/contact and /crm/objects/company endpoints. Because PeopleSoft provides no webhooks and no standardized pagination, ml-connector polls using date-range filters on inquiry endpoints, tracking the last successful sync timestamp and filtering for records modified since then. It maps PeopleSoft employee fields (name, email, phone, job title) to HubSpot contact properties, and vendor/customer records to HubSpot company properties. HubSpot's rate limits are enforced via polling delay; when the API returns 429, ml-connector backs off exponentially and retries. Batch writes to HubSpot are capped at 100 records per request. Every record carries a full audit trail including the source ID from PeopleSoft and the synced timestamp, and failed records can be replayed manually.

A real-world example

A mid-sized professional services firm runs Oracle PeopleSoft on premises for HR, vendor management, and accounting. Their sales team uses HubSpot to track opportunities and manage client relationships. Before the integration, new employees hired in PeopleSoft had to be manually entered into HubSpot as contacts, and vendor changes made by the procurement team did not flow to sales, leading to outdated company information and duplicate data entry. With PeopleSoft and HubSpot connected, every new hire syncs to HubSpot overnight, and vendor profile updates from PeopleSoft appear automatically in the CRM. Sales stops chasing outdated contact lists and the HR team stops re-entering employee data.

What you can do

• •Sync employees from Oracle PeopleSoft to HubSpot contacts, including name, email, phone, title, and department.
• •Sync vendors and customers from PeopleSoft to HubSpot companies with address and status fields preserved.
• •Poll PeopleSoft on a schedule you define, filtering for new and modified records since the last sync.
• •Handle PeopleSoft HTTP Basic Auth on customer-unique hostnames and endpoints, and HubSpot token-based REST API in one integration.
• •Manage HubSpot rate limits with automatic backoff and retry, and maintain a full audit trail for every synced record.

Questions

Does data move both ways between PeopleSoft and HubSpot?

No. The sync is one-way, from Oracle PeopleSoft into HubSpot. Employee and vendor records from PeopleSoft flow into HubSpot as contacts and companies. HubSpot contacts and companies are never written back to PeopleSoft, so sales team edits in HubSpot do not alter the ERP.

How does ml-connector handle PeopleSoft's lack of webhooks and custom hostnames?

ml-connector constructs the Integration Broker REST URL using the customer's hostname, port, and node name stored encrypted, then authenticates with HTTP Basic Auth. Since PeopleSoft has no webhooks, ml-connector polls the inquiry endpoints on a schedule, filtering by date range for records modified since the last sync to avoid re-processing.

What happens when HubSpot hits its rate limit?

When HubSpot's API returns HTTP 429 (rate limit), ml-connector stops temporarily, waits with exponential backoff, and retries the batch. Batches to HubSpot are capped at 100 records to stay within rate limits on most accounts. The sync logs every request and retry so you can see exactly what succeeded and what was delayed.