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Database ⇄ Human resources

Firebase to Greenhouse integration — real-time, two-way sync

Keep Firebase and Greenhouse 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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Why teams connect Firebase and Greenhouse

Put your workforce data where your apps can reach it: Firebase 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. Firebase is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Applications, Jobs, Offers, Scorecards in Greenhouse need to exist as queryable Subcollections, Realtime Database Nodes, Authentication Users, Cloud Storage Objects in Firebase 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 Subcollections, Realtime Database Nodes, Authentication Users, Cloud Storage Objects in Firebase with Applications, Jobs, Offers, Scorecards 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 Mirror Firestore collections into Postgres or a warehouse to run SQL analytics on app data.
  • 02 Write CRM-side changes (plan, status, owner) back into Firestore documents the app reads.
  • 03 Stream Jobs, Departments, and Offices into a reporting database for recruiting funnel and time-to-fill dashboards.
  • 04 Export Scorecards and Scheduled Interviews to a data warehouse to analyze interviewer load and interview outcomes.

Common sync patterns

Computed and operational fields flow back

Values assembled or corrected in Firebase write onto the matching record in Greenhouse where those fields are writable, keeping the people system enriched.

Mirror people records into the database

Records maintained in Greenhouse land as queryable Subcollections, Realtime Database Nodes, Authentication Users, Cloud Storage Objects in Firebase, 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.

What you can sync between Firebase and Greenhouse

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.

Firebase objects Greenhouse objects How this pairing syncs
Subcollections Nested collections under documents, typically flattened into related tables during sync. Jobs Requisitions with openings, hiring team, departments, and offices; created and patched via Harvest, read out for funnel and time-to-fill reporting. Subcollections is specific to Firebase and Jobs to Greenhouse — each maps to any object or custom field on the other side.
Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. Offers Offer records tied to an Application with status and custom offer fields; readable and patchable, commonly synced to HRIS on hire. Realtime Database Nodes is specific to Firebase and Offers to Greenhouse — each maps to any object or custom field on the other side.
Authentication Users User accounts read into CRMs and warehouses for customer records. Scorecards Interviewer feedback and ratings tied to interviews; read-only in Harvest, exported to a warehouse for interview analytics. Authentication Users is specific to Firebase and Scorecards to Greenhouse — each maps to any object or custom field on the other side.
Cloud Storage Objects Files referenced from documents; usually synced as metadata plus URLs. Scheduled Interviews Interview events with interviewers, times, and rooms; full create/update/delete support for calendar and reporting syncs. Cloud Storage Objects is specific to Firebase and Scheduled Interviews to Greenhouse — each maps to any object or custom field on the other side.
Cloud Functions Triggers Server-side hooks that fire on document changes and can push updates outward. Users Greenhouse users (recruiters, hiring managers); read and written, and referenced by the On-Behalf-Of header on every write. Cloud Functions Triggers is specific to Firebase and Users to Greenhouse — each maps to any object or custom field on the other side.
Firestore Collections Top-level groupings of documents that a sync maps to tables or SaaS objects. Departments and Offices Org structure attached to Jobs; read and written to keep reporting hierarchies aligned with an HRIS or warehouse. Firestore Collections is specific to Firebase and Departments and Offices to Greenhouse — each maps to any object or custom field on the other side.

How changes propagate between Firebase and Greenhouse

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.

Firebase Greenhouse Interval-based propagation

DetectionStacksync polls Firebase for changes on an incremental schedule, reading only records changed since the previous pass. Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes.

DeliveryEach detected change is written to Greenhouse through its API, with automatic retries and rate-limit backoff.

Greenhouse Firebase 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 written to Firebase through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Firebase: Subject to Firestore's documented operation quotas and per-document write throughput limits.
  • 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 Firebase ⇄ Greenhouse

Connect Firebase and Greenhouse for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebase–Greenhouse connection.

Real-time

Two-way sync

Changes in Firebase or Greenhouse instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Firebase or Greenhouse 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 Firebase or Greenhouse record.

Observability

Monitoring

Track your Firebase ⇄ Greenhouse sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Firebase and Greenhouse.

How the Firebase and Greenhouse connectors work

Firebase

Integration surface
REST and gRPC APIs, typically accessed through the Firebase Admin SDK
Authentication
Google service account credentials (IAM) for server-side access; Firebase Auth tokens for client contexts
Change detection
Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes
Capabilities
read · write
Rate limits
Subject to Firestore's documented operation quotas and per-document write throughput limits

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
How it works

How to connect Firebase to Greenhouse — 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 Firebase and Greenhouse 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
    Firebase connected
    Greenhouse connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Firebase and Greenhouse 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 · Firebase ⇄ Greenhouse
    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
    Firebase Greenhouse
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Firebase and Greenhouse 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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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 532 integrations available for Firebase and Greenhouse.

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