Real-time
Two-way sync
Changes in Firebase or Hibob instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Human resources
Firebase to Hibob integration — real-time, two-way sync
Keep Firebase and Hibob 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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Why teams connect Firebase and Hibob
Put your workforce data where your apps can reach it: Firebase and Hibob share the same people, positions, and org structure in real time.
Hibob 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: Documents, Named lists, People (Employees), Employment in Hibob need to exist as queryable Authentication Users, Cloud Storage Objects, Cloud Functions Triggers, Firestore Collections 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 Authentication Users, Cloud Storage Objects, Cloud Functions Triggers, Firestore Collections in Firebase with Documents, Named lists, People (Employees), Employment in Hibob field by field, in real time. You decide which system owns which fields — Hibob 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 Sync Firestore user and account documents into a CRM so go-to-market teams see live product data.
- 02 Mirror Firestore collections into Postgres or a warehouse to run SQL analytics on app data.
- 03 Push Salaries and Variable Pay from Bob into a payroll provider or warehouse each pay cycle, using the Payroll-permitted service user.
- 04 Mirror Work data (department, site, manager, title) into an org-chart or reporting warehouse for headcount and structure analysis.
Common sync patterns
Computed and operational fields flow back
Values assembled or corrected in Firebase write onto the matching record in Hibob where those fields are writable, keeping the people system enriched.
Mirror people records into the database
Records maintained in Hibob land as queryable Authentication Users, Cloud Storage Objects, Cloud Functions Triggers, Firestore Collections 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 Hibob
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 | Hibob objects | How this pairing syncs | |
|---|---|---|---|
| Authentication Users User accounts read into CRMs and warehouses for customer records. | People (Employees) Core employee records with out-of-the-box and custom fields; read via POST /people/search, created and updated through the /people endpoints. | Authentication Users is specific to Firebase and People (Employees) to Hibob — 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. | Employment Historical table of job terms, contract, and working pattern under /people/{id}/employment; full CRUD, entries keyed by effectiveDate. | Cloud Storage Objects is specific to Firebase and Employment to Hibob — 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. | Work Reporting line, department, site, and title under /people/{id}/work; drives the org chart and is synced two-way to directories. | Cloud Functions Triggers is specific to Firebase and Work to Hibob — 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. | Salaries Compensation history at /people/{id}/salaries; full CRUD but gated behind the Payroll permission on the service user. | Firestore Collections is specific to Firebase and Salaries to Hibob — each maps to any object or custom field on the other side. | |
| Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. | Time off Absence requests and who's-out data via /timeoff/employees/{id}/requests and /timeoff/whosout; submit new requests and read balances. | Firestore Documents is specific to Firebase and Time off to Hibob — each maps to any object or custom field on the other side. | |
| Subcollections Nested collections under documents, typically flattened into related tables during sync. | Lifecycle Hire, termination, and leave status changes at /people/{id}/lifecycle; read-only and the source of lifecycle webhook events. | Subcollections is specific to Firebase and Lifecycle to Hibob — each maps to any object or custom field on the other side. |
How changes propagate between Firebase and Hibob
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 Hibob 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 Hibob through its API, with automatic retries and rate-limit backoff.
Hibob Firebase Sub-second propagation
DetectionHibob notifies Stacksync of record changes through webhook events. Webhooks fire for employee created/updated/deleted, table-entry created/updated, time off, and lifecycle events.
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.
- Hibob: Rate limits are enforced per service user; violations return HTTP 429 with X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset response headers. The docs list POST /people/search at 50 requests per minute, and bulk /people/search is preferred over per-record reads.
What ships with Firebase ⇄ Hibob
Connect Firebase and Hibob for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebase–Hibob connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Firebase or Hibob 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 Hibob record.
Observability
Monitoring
Track your Firebase ⇄ Hibob 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 Hibob.
How the Firebase and Hibob 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
Hibob
- Integration surface
- REST API (the Bob API)
- Authentication
- Service User credentials over HTTP Basic auth (Base64-encoded serviceUserId:serviceUserToken); permissions granted per data category (People, Payroll, Documents) in Bob admin
- Change detection
- Webhooks fire for employee created/updated/deleted, table-entry created/updated, time off, and lifecycle events; the employee.updated payload flags which fields changed and Bob recommends an API call for the full record. There is no CDC stream, and deleting a table entry fires no webhook (Bob has no table-entry deletion event).
- Capabilities
- read · write · webhooks
- Rate limits
- Rate limits are enforced per service user; violations return HTTP 429 with X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset response headers. The docs list POST /people/search at 50 requests per minute, and bulk /people/search is preferred over per-record reads.
How it works
How to connect Firebase to Hibob — 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 Firebase and Hibob with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Firebase
connected
Hibob
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Firebase and Hibob 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 · Firebase ⇄ HibobCustomers 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.
Firebase HibobCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Firebase and Hibob integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Firebase and Hibob: authenticate both systems, choose the objects to sync (such as Firebase's Authentication Users and Cloud Storage Objects), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Firebase and Hibob connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Firebase–Hibob integration in-house.
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Yes — Stacksync ships production-grade connectors for both Firebase and Hibob. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Firebase: Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes. On Hibob: Webhooks fire for employee created/updated/deleted, table-entry created/updated, time off, and lifecycle events; the employee.updated payload flags which fields changed and Bob recommends an API call for the full record. There is no CDC stream, and deleting a table entry fires no webhook (Bob has no table-entry deletion event). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Firebase side: Authentication Users, Cloud Storage Objects, Cloud Functions Triggers, Firestore Collections, plus custom fields where Firebase exposes them. On the Hibob side: Documents, Named lists, People (Employees), Employment. 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.
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:
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