Two-way sync
Changes in Greenhouse or OCI Database (Oracle Cloud) instantly reflect in both systems. No stale data, no manual imports.
Keep Greenhouse and OCI Database (Oracle Cloud) 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 the people side of the business — employees, candidates, roles, and the org structure around them. OCI Database (Oracle Cloud) is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Scorecards, Scheduled Interviews, Users, Departments and Offices in Greenhouse need to exist as queryable Sequences, PL/SQL procedures and packages, JSON collections, Partitions in OCI Database (Oracle Cloud) before an app can act on them. When that bridge is a nightly export or a hand-run CSV, every downstream system spends the day working from a roster that has already moved on.
Stacksync syncs Sequences, PL/SQL procedures and packages, JSON collections, Partitions in OCI Database (Oracle Cloud) with Scorecards, Scheduled Interviews, Users, Departments and Offices in Greenhouse field by field, in real time. You decide which system owns which fields — Greenhouse typically owns identity and org attributes, while operational or computed values can flow back the other way — and Stacksync keeps every copy consistent, matching records on a stable key and resolving conflicts by rules you set.
The result is one live picture of the workforce on both sides: HR keeps its source of truth, and the database keeps a current mirror that internal apps, reports, and access controls can trust without a batch window in between.
Records maintained in Greenhouse land as queryable Sequences, PL/SQL procedures and packages, JSON collections, Partitions in OCI Database (Oracle Cloud), so internal apps and dashboards read live data instead of a periodic export.
When a person record is added, changed, or deactivated in either system, the matching row in the other stays current, ending dual maintenance.
Scorecards, Scheduled Interviews, Users, Departments and Offices replicate into OCI Database (Oracle Cloud) where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.
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 | OCI Database (Oracle Cloud) objects | How this pairing syncs | |
|---|---|---|---|
| Offers Offer records tied to an Application with status and custom offer fields; readable and patchable, commonly synced to HRIS on hire. | PL/SQL procedures and packages Server-side logic that can react to synced data or transform it in place | Offers is specific to Greenhouse and PL/SQL procedures and packages to OCI Database (Oracle Cloud) — 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. | JSON collections Document-style storage in the converged engine, synced alongside relational tables | Scorecards is specific to Greenhouse and JSON collections to OCI Database (Oracle Cloud) — 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. | Partitions Physical table subdivisions relevant when replicating large fact tables | Scheduled Interviews is specific to Greenhouse and Partitions to OCI Database (Oracle Cloud) — 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. | Tables The primary sync surface; rows are read and written directly over SQL | Users is specific to Greenhouse and Tables to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Departments and Offices Org structure attached to Jobs; read and written to keep reporting hierarchies aligned with an HRIS or warehouse. | Views Read-only projections used to expose curated subsets to downstream systems | Departments and Offices is specific to Greenhouse and Views to OCI Database (Oracle Cloud) — 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. | Materialized views Precomputed result sets sometimes used as stable read sources for replication | Candidates is specific to Greenhouse and Materialized views to OCI Database (Oracle Cloud) — 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 OCI Database (Oracle Cloud) as a row-level write, with types converted between the two schemas.
DetectionChanges in OCI Database (Oracle Cloud) are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs (LogMiner or GoldenGate), or timestamp 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–OCI Database (Oracle Cloud) connection.
Changes in Greenhouse or OCI Database (Oracle Cloud) instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Greenhouse or OCI Database (Oracle Cloud) 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 OCI Database (Oracle Cloud) record.
Track your Greenhouse ⇄ OCI Database (Oracle Cloud) sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Greenhouse and OCI Database (Oracle Cloud).
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 OCI Database (Oracle Cloud) 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 OCI Database (Oracle Cloud) 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 OCI Database (Oracle Cloud): authenticate both systems, choose the objects to sync (such as Greenhouse's Offers and Scorecards), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Greenhouse and OCI Database (Oracle Cloud) connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Greenhouse–OCI Database (Oracle Cloud) integration in-house.
Yes — Stacksync ships production-grade connectors for both Greenhouse and OCI Database (Oracle Cloud). The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Greenhouse: HMAC-SHA256 signed webhooks for candidate, application, job, and interview events, plus polling list endpoints with created_after / updated_after / last_activity_after filters. On OCI Database (Oracle Cloud): Log-based CDC from redo logs (LogMiner or GoldenGate), or timestamp polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the OCI Database (Oracle Cloud) side: Sequences, PL/SQL procedures and packages, JSON collections, Partitions, plus custom fields where OCI Database (Oracle Cloud) 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.
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.
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 434 integrations available for Greenhouse and OCI Database (Oracle Cloud).