Real-time
Two-way sync
Changes in Firebase or Namely instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Human resources
Firebase to Namely integration — real-time, two-way sync
Keep Firebase and Namely 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 Firebase and Namely
Put your workforce data where your apps can reach it: Firebase and Namely share the same people, positions, and org structure in real time.
Namely 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: Events, Profiles, Job Titles, Job Tiers in Namely need to exist as queryable Firestore Collections, Firestore Documents, Subcollections, Realtime Database Nodes 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 Firestore Collections, Firestore Documents, Subcollections, Realtime Database Nodes in Firebase with Events, Profiles, Job Titles, Job Tiers in Namely field by field, in real time. You decide which system owns which fields — Namely 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 Push Groups and Teams (departments, locations, team categories) into downstream apps to keep org structure and reporting lines aligned.
- 04 Feed Namely Reports as JSON into a database on a schedule for roster, turnover, and diversity dashboards without manual CSV exports.
Common sync patterns
Computed and operational fields flow back
Values assembled or corrected in Firebase write onto the matching record in Namely where those fields are writable, keeping the people system enriched.
Mirror people records into the database
Records maintained in Namely land as queryable Firestore Collections, Firestore Documents, Subcollections, Realtime Database Nodes 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 Namely
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 | Namely objects | How this pairing syncs | |
|---|---|---|---|
| Cloud Functions Triggers Server-side hooks that fire on document changes and can push updates outward. | Profiles The core employee record (personal, job, contact, and compensation fields); synced two-way via GET/POST/PUT with updated_at driving incremental polling. | Cloud Functions Triggers is specific to Firebase and Profiles to Namely — 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. | Job Titles Job title definitions; read and written so titles stay aligned with an HRIS, directory, or reporting dimension. | Firestore Collections is specific to Firebase and Job Titles to Namely — 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. | Job Tiers Leveling hierarchy grouping zero-to-many Job Titles; read to map seniority into warehouse dimension tables. | Firestore Documents is specific to Firebase and Job Tiers to Namely — each maps to any object or custom field on the other side. | |
| Subcollections Nested collections under documents, typically flattened into related tables during sync. | Groups Departments and locations that organize Profiles; synced to keep org structure aligned with a warehouse or IdP. | Subcollections is specific to Firebase and Groups to Namely — 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. | Teams Teams and team categories a Profile belongs to; read and written for org-chart and provisioning workflows. | Realtime Database Nodes is specific to Firebase and Teams to Namely — each maps to any object or custom field on the other side. | |
| Authentication Users User accounts read into CRMs and warehouses for customer records. | Reports Saved Namely reports returned as JSON snapshots that update instantly; read-only feeds for headcount and roster analytics. | Authentication Users is specific to Firebase and Reports to Namely — each maps to any object or custom field on the other side. |
How changes propagate between Firebase and Namely
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 Namely 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 Namely through its API, with automatic retries and rate-limit backoff.
Namely Firebase Interval-based propagation
DetectionStacksync polls Namely for changes on an incremental schedule, reading only records changed since the previous pass. No webhooks.
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.
- Namely: Namely's public docs do not publish a fixed request quota; the REST API returns standard HTTP status codes, so integrations should throttle and back off on 429/5xx responses.
What ships with Firebase ⇄ Namely
Connect Firebase and Namely for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebase–Namely connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Firebase or Namely 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 Namely record.
Observability
Monitoring
Track your Firebase ⇄ Namely 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 Namely.
How the Firebase and Namely 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
Namely
- Integration surface
- REST API (JSON over HTTPS)
- Authentication
- OAuth 2.0 authorization-code grant, or a personal access token sent as a Bearer token; all calls run over HTTPS against https://{subdomain}.namely.com/api/v1
- Change detection
- No webhooks; integrations poll GET endpoints and compare the updated_at / created_at timestamps on Profiles and related objects to detect changes
- Capabilities
- read · write
- Rate limits
- Namely's public docs do not publish a fixed request quota; the REST API returns standard HTTP status codes, so integrations should throttle and back off on 429/5xx responses.
How it works
How to connect Firebase to Namely — 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 Namely 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
Namely
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Firebase and Namely 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 ⇄ NamelyCustomers 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 NamelyCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Firebase and Namely integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Firebase and Namely: authenticate both systems, choose the objects to sync (such as Firebase's Cloud Functions Triggers and Firestore Collections), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Firebase and Namely: Computed and operational fields flow back; Mirror people records into the database; One directory of record. Values assembled or corrected in Firebase write onto the matching record in Namely where those fields are writable, keeping the people system enriched.
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Firebase: 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. Namely: REST API (JSON over HTTPS). Authentication: OAuth 2.0 authorization-code grant, or a personal access token sent as a Bearer token; all calls run over HTTPS against https://{subdomain}.namely.com/api/v1. Stacksync manages authentication, retries, and rate limits on both sides.
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Firebase: Firebase spans two databases with different models: Firestore (collections and documents) and the original Realtime Database (a single JSON tree). Namely: Namely exposes no webhooks; change detection relies on polling and comparing the updated_at timestamp on Profiles and related resources. Stacksync's field mapping accounts for these differences between Firebase and Namely without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Firebase and Namely records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Firebase and Namely connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Firebase–Namely integration in-house.
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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