Two-way sync
Changes in Greenhouse or Sage X3 instantly reflect in both systems. No stale data, no manual imports.
Keep Greenhouse and Sage X3 in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Greenhouse is the system of record for people: who was hired, which department and location they sit in, who they report to, and how they are paid. Sage X3 runs finance and operations, and much of what it does depends on that same information, from booking labor cost to approving an expense report to staffing a project. Where the two are bridged by re-keying or an overnight file, each side spends the day out of step, with new hires missing from the systems they need and leavers still active where they should not be.
Stacksync syncs Products, Sales Orders, Purchase Orders, Work Orders in Sage X3 with Departments and Offices, Candidates, Applications, Jobs in Greenhouse field by field, in real time, and in both directions. You decide which system owns which fields, so the people side stays authoritative for worker data while Sage X3 keeps its own accounting and operational detail, and every change made in one is reflected in the other within seconds instead of at the next batch run.
Manager and reporting-hierarchy changes in Greenhouse keep expense and purchase approval chains in Sage X3 pointed at the right people.
Pay and compensation data from Greenhouse posts into Sage X3 as labor cost, so finance sees workforce spend without re-entering it by hand.
When a worker is hired, moved, or offboarded in Greenhouse, the matching employee record in Sage X3 is created, updated, or deactivated, so the business system reflects the workforce as it actually is.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Greenhouse objects | Sage X3 objects | How this pairing syncs | |
|---|---|---|---|
| Applications Links a Candidate to a Job; carries current stage, status, and source. Movable, rejectable, and hireable through Harvest write calls. | Products Item master with units, costing, and site data, synced to commerce and PLM tools. | Applications is specific to Greenhouse and Products to Sage X3 — each maps to any object or custom field on the other side. | |
| Jobs Requisitions with openings, hiring team, departments, and offices; created and patched via Harvest, read out for funnel and time-to-fill reporting. | Sales Orders Order documents written from external channels and read for fulfillment status. | Jobs is specific to Greenhouse and Sales Orders to Sage X3 — each maps to any object or custom field on the other side. | |
| Offers Offer records tied to an Application with status and custom offer fields; readable and patchable, commonly synced to HRIS on hire. | Purchase Orders Procurement documents synced with supplier-facing systems. | Offers is specific to Greenhouse and Purchase Orders to Sage X3 — each maps to any object or custom field on the other side. | |
| Scorecards Interviewer feedback and ratings tied to interviews; read-only in Harvest, exported to a warehouse for interview analytics. | Work Orders Production orders read by MES and scheduling integrations. | Scorecards is specific to Greenhouse and Work Orders to Sage X3 — each maps to any object or custom field on the other side. | |
| Scheduled Interviews Interview events with interviewers, times, and rooms; full create/update/delete support for calendar and reporting syncs. | Stock / Inventory by site On-hand and allocated quantities per site, synced to storefronts and WMS. | Scheduled Interviews is specific to Greenhouse and Stock / Inventory by site to Sage X3 — each maps to any object or custom field on the other side. | |
| Users Greenhouse users (recruiters, hiring managers); read and written, and referenced by the On-Behalf-Of header on every write. | Bills of Material Product structures read for planning and costing. | Users is specific to Greenhouse and Bills of Material to Sage X3 — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionGreenhouse notifies Stacksync of record changes through webhook events. HMAC-SHA256 signed webhooks for candidate, application, job, and interview events, plus polling list endpoints with created_after / updated_after /.
DeliveryEach detected change is applied to Sage X3 as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Sage X3 for changes on an incremental schedule, reading only records changed since the previous pass. Scheduled polling.
DeliveryEach detected change is written to Greenhouse through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Greenhouse–Sage X3 connection.
Changes in Greenhouse or Sage X3 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Greenhouse or Sage X3 data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Greenhouse or Sage X3 record.
Track your Greenhouse ⇄ Sage X3 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Greenhouse and Sage X3.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Greenhouse and Sage X3 with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Greenhouse and Sage X3 objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Greenhouse and Sage X3: authenticate both systems, choose the objects to sync (such as Greenhouse's Applications and Jobs), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Sage X3 side: Products, Sales Orders, Purchase Orders, Work Orders, plus custom fields where Sage X3 exposes them. On the Greenhouse side: Departments and Offices, Candidates, Applications, Jobs. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Greenhouse and Sage X3: Reporting lines drive approvals; Where Greenhouse runs payroll: labor cost in the books; Where Greenhouse is the worker system of record: one employee master. Manager and reporting-hierarchy changes in Greenhouse keep expense and purchase approval chains in Sage X3 pointed at the right people.
Greenhouse: Harvest REST API (plus read-only Job Board API and the Ingestion API for bulk candidate import). Authentication: HTTP Basic Auth with a Harvest API key (key as username, blank password, colon appended then Base64-encoded); write calls require an On-Behalf-Of header naming the Greenhouse user. Sage X3: SOAP and REST web services published from X3 business objects; direct SQL access to the underlying database on-prem. Authentication: Dedicated web-service user credentials (Basic auth) against configured connection pools. Stacksync manages authentication, retries, and rate limits on both sides.
Sage X3: X3 runs on Oracle or SQL Server, so read-only SQL access to the underlying database is a common on-prem pattern for analytics extraction. Greenhouse: Some Harvest objects are read-only (for example Scorecards); writes concentrate on Candidates, Applications, Offers (PATCH), Scheduled Interviews, Users, and Jobs. Stacksync's field mapping accounts for these differences between Greenhouse and Sage X3 without custom code.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 508 integrations available for Greenhouse and Sage X3.