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Human resources ⇄ Database

Greenhouse to OCI Database (Oracle Cloud) integration — real-time, two-way sync

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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Greenhouse and OCI Database (Oracle Cloud)

Put your workforce data where your apps can reach it: OCI Database (Oracle Cloud) and Greenhouse share the same people, positions, and org structure in real time.

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.

Common use cases

  • 01 Expose ERP or billing data held in OCI to internal tools by syncing selected schemas to a managed Postgres.
  • 02 Write changes from SaaS applications back into OCI so PL/SQL-based processes operate on current data.
  • 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

Mirror people records into the database

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.

One directory of record

When a person record is added, changed, or deactivated in either system, the matching row in the other stays current, ending dual maintenance.

Reporting and analytics on current data

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.

What you can sync between Greenhouse and OCI Database (Oracle Cloud)

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.

How changes propagate between Greenhouse and OCI Database (Oracle Cloud)

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 OCI Database (Oracle Cloud) 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 OCI Database (Oracle Cloud) as a row-level write, with types converted between the two schemas.

OCI Database (Oracle Cloud) Greenhouse Sub-second propagation

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.

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.
  • OCI Database (Oracle Cloud): Throughput bounded by instance sizing rather than API quotas.
What ships with Greenhouse ⇄ OCI Database (Oracle Cloud)

Connect Greenhouse and OCI Database (Oracle Cloud) for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Greenhouse–OCI Database (Oracle Cloud) connection.

Real-time

Two-way sync

Changes in Greenhouse or OCI Database (Oracle Cloud) instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Greenhouse or OCI Database (Oracle Cloud) 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 OCI Database (Oracle Cloud) record.

Observability

Monitoring

Track your Greenhouse ⇄ OCI Database (Oracle Cloud) 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 OCI Database (Oracle Cloud).

How the Greenhouse and OCI Database (Oracle Cloud) 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.
Greenhouse setup guide

OCI Database (Oracle Cloud)

Integration surface
SQL wire protocol (Oracle Net) via JDBC, ODBC, and native drivers; ORDS REST optionally exposes tables over HTTP
Authentication
database credentials, commonly with mutual TLS using a client wallet on Autonomous Database; OCI IAM integration available
Change detection
log-based CDC from redo logs (LogMiner or GoldenGate), or timestamp polling
Capabilities
read · write · CDC
Rate limits
throughput bounded by instance sizing rather than API quotas
How it works

How to connect Greenhouse to OCI Database (Oracle Cloud) — 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.

  1. 01

    Connect your apps

    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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Greenhouse connected
    OCI Database (Oracle Cloud) connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Greenhouse ⇄ OCI Database (Oracle Cloud)
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Greenhouse OCI Database (Oracle Cloud)
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Greenhouse and OCI Database (Oracle Cloud) integration FAQ

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.

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→ 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

Every pair below is a real-time, two-way sync. Search all 434 integrations available for Greenhouse and OCI Database (Oracle Cloud).

Popular · 7 of 434
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