Real-time
Two-way sync
Changes in Greenhouse or Sage 100 instantly reflect in both systems. No stale data, no manual imports.
Human resources ⇄ ERP
Greenhouse to Sage 100 integration — real-time, two-way sync
Keep Greenhouse and Sage 100 in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from Celigo
Why teams connect Greenhouse and Sage 100
Sync the workers, org structure, and cost centers that Sage 100 and Greenhouse share in real time, so the people Greenhouse manages stay current in the system that runs finance and operations.
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 100 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 Purchase Orders, GL Accounts, Journal Entries, Customers in Sage 100 with Scorecards, Scheduled Interviews, Users, Departments and Offices 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 100 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.
Common use cases
- 01 Publish item, pricing, and on-hand inventory to online catalogs on a schedule.
- 02 Replicate GL and sales history to a warehouse or Postgres database for reporting off the on-premise system.
- 03 Write enriched or sourced Candidates from external tools into Greenhouse and keep contact fields refreshed as data changes.
- 04 Stream Jobs, Departments, and Offices into a reporting database for recruiting funnel and time-to-fill dashboards.
Common sync patterns
One org structure
Departments, cost centers, and locations that both systems reference stay in agreement, so labor cost, approvals, and reporting in Sage 100 roll up to the same structure Greenhouse maintains.
Reporting lines drive approvals
Manager and reporting-hierarchy changes in Greenhouse keep expense and purchase approval chains in Sage 100 pointed at the right people.
Where Greenhouse runs payroll: labor cost in the books
Pay and compensation data from Greenhouse posts into Sage 100 as labor cost, so finance sees workforce spend without re-entering it by hand.
What you can sync between Greenhouse and Sage 100
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 100 objects | How this pairing syncs | |
|---|---|---|---|
| Departments and Offices Org structure attached to Jobs; read and written to keep reporting hierarchies aligned with an HRIS or warehouse. | Sales Orders Order headers and lines, the usual write target for web and EDI orders. | Departments and Offices is specific to Greenhouse and Sales Orders to Sage 100 — each maps to any object or custom field on the other side. | |
| Candidates Person records with contact details, tags, and custom fields; read and written via Harvest, often created from sourcing or enrichment pipelines. | AR Invoices Billing documents synced outward for payment status and revenue reporting. | Candidates is specific to Greenhouse and AR Invoices to Sage 100 — each maps to any object or custom field on the other side. | |
| Applications Links a Candidate to a Job; carries current stage, status, and source. Movable, rejectable, and hireable through Harvest write calls. | Purchase Orders Procurement documents read for spend and receiving workflows. | Applications is specific to Greenhouse and Purchase Orders to Sage 100 — 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. | GL Accounts Chart of accounts read for mapping transactions in finance integrations. | Jobs is specific to Greenhouse and GL Accounts to Sage 100 — 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. | Journal Entries Posted GL activity replicated to warehouses for FP&A. | Offers is specific to Greenhouse and Journal Entries to Sage 100 — 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. | Customers AR customer master records synced to CRMs for account and credit visibility. | Scorecards is specific to Greenhouse and Customers to Sage 100 — each maps to any object or custom field on the other side. |
How changes propagate between Greenhouse and Sage 100
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.
Greenhouse Sage 100 Sub-second propagation
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 100 as a row-level write, with types converted between the two schemas.
Sage 100 Greenhouse Interval-based propagation
DetectionStacksync polls Sage 100 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.
Rate-limit considerations
- Greenhouse: Harvest enforces a per-integration limit over a rolling 10-second window (X-RateLimit-Limit, commonly 50 requests / 10s for approved integrations); responses carry X-RateLimit-Remaining and, on a 429, X-RateLimit-Reset and Retry-After.
What ships with Greenhouse ⇄ Sage 100
Connect Greenhouse and Sage 100 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Greenhouse–Sage 100 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Greenhouse or Sage 100 data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Greenhouse or Sage 100 record.
Observability
Monitoring
Track your Greenhouse ⇄ Sage 100 sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Greenhouse and Sage 100.
How the Greenhouse and Sage 100 connectors work
Greenhouse
- Integration surface
- 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
- Change detection
- HMAC-SHA256 signed webhooks for candidate, application, job, and interview events, plus polling list endpoints with created_after / updated_after / last_activity_after filters
- Capabilities
- read · write · webhooks
- Rate limits
- Harvest enforces a per-integration limit over a rolling 10-second window (X-RateLimit-Limit, commonly 50 requests / 10s for approved integrations); responses carry X-RateLimit-Remaining and, on a 429, X-RateLimit-Reset and Retry-After.
Sage 100
- Integration surface
- ODBC (ProvideX driver) for reads; Business Object Interface (BOI) or Sage-provided web services for writes
- Authentication
- Sage 100 company and user credentials; ODBC DSN credentials for direct reads
- Change detection
- Scheduled polling; no webhooks or change log on the integration surface
- Capabilities
- read · write
How it works
How to connect Greenhouse to Sage 100 — three steps, no code
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.
- 01
Connect your apps
Authenticate Greenhouse and Sage 100 with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Greenhouse
connected
Sage 100
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Greenhouse and Sage 100 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.
objects · Greenhouse ⇄ Sage 100Customers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Greenhouse Sage 100Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Greenhouse and Sage 100 integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Greenhouse and Sage 100: authenticate both systems, choose the objects to sync (such as Greenhouse's Departments and Offices and Candidates), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Sage 100 side: Purchase Orders, GL Accounts, Journal Entries, Customers, plus custom fields where Sage 100 exposes them. On the Greenhouse side: Scorecards, Scheduled Interviews, Users, Departments and Offices. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Greenhouse and Sage 100: One org structure; Reporting lines drive approvals; Where Greenhouse runs payroll: labor cost in the books. Departments, cost centers, and locations that both systems reference stay in agreement, so labor cost, approvals, and reporting in Sage 100 roll up to the same structure Greenhouse maintains.
-
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 100: ODBC (ProvideX driver) for reads; Business Object Interface (BOI) or Sage-provided web services for writes. Authentication: Sage 100 company and user credentials; ODBC DSN credentials for direct reads. Stacksync manages authentication, retries, and rate limits on both sides.
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Sage 100: Writes should go through the Business Object Interface rather than direct file access, so module validation and GL postings are enforced. Greenhouse: Change feeds rely on signed webhooks or updated_after / last_activity_after polling; there is no log-based change data capture. Stacksync's field mapping accounts for these differences between Greenhouse and Sage 100 without custom code.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
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