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Database ⇄ Human resources

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

Keep Firebase and Paylocity 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 Firebase and Paylocity

Put your workforce data where your apps can reach it: Firebase and Paylocity share the same people, positions, and org structure in real time.

Paylocity 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: Direct Deposit, Pay Statements, Company Codes, Custom Fields in Paylocity need to exist as queryable Firestore Documents, Subcollections, Realtime Database Nodes, Authentication Users 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 Documents, Subcollections, Realtime Database Nodes, Authentication Users in Firebase with Direct Deposit, Pay Statements, Company Codes, Custom Fields in Paylocity field by field, in real time. You decide which system owns which fields — Paylocity 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 Two-way sync of Employees between Paylocity and an HRIS or identity provider so new hires, terminations, and demographic edits flow both directions.
  • 04 Push hired candidates from an ATS into Paylocity via the Onboarding endpoint, then read Onboarding Status to confirm the record before the first payroll run.

Common sync patterns

Mirror people records into the database

Records maintained in Paylocity land as queryable Firestore Documents, Subcollections, Realtime Database Nodes, Authentication Users 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.

Reporting and analytics on current data

Direct Deposit, Pay Statements, Company Codes, Custom Fields replicate into Firebase where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.

What you can sync between Firebase and Paylocity

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 Paylocity objects How this pairing syncs
Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. Pay Statements Read-only detailed payroll statement data — earnings, deductions, taxes, and direct deposit allocations by year, check date, or date range. Pulled for reporting, never written. Realtime Database Nodes is specific to Firebase and Pay Statements to Paylocity — each maps to any object or custom field on the other side.
Authentication Users User accounts read into CRMs and warehouses for customer records. Company Codes Read-only reference codes and descriptions (cost centers, departments, positions) used to validate field mappings on employee writes. Authentication Users is specific to Firebase and Company Codes to Paylocity — 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. Custom Fields Read-only company-specific custom fields returned by category, used to enrich the employee record downstream. Cloud Storage Objects is specific to Firebase and Custom Fields to Paylocity — 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. Employees Core HR record keyed by companyId + employeeId; two-way via Create New Employee (POST) and Update Employee (PATCH), plus Get Employee / Get All Employees for reads. Cloud Functions Triggers is specific to Firebase and Employees to Paylocity — 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. Onboarding Create Employee Onboarding pushes new-hire data into Paylocity's onboarding workflow; Get Onboarding Status reads back partner onboarding progress. Write-in for hires from an ATS. Firestore Collections is specific to Firebase and Onboarding to Paylocity — 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. Deductions (Pay Setup) Recurring deduction codes at the employee level; two-way via Upsert Deduction and Delete, with Get Deduction / Get All Deductions for reads. Firestore Documents is specific to Firebase and Deductions (Pay Setup) to Paylocity — each maps to any object or custom field on the other side.

How changes propagate between Firebase and Paylocity

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 Paylocity 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 Paylocity through its API, with automatic retries and rate-limit backoff.

Paylocity Firebase Sub-second propagation

DetectionPaylocity notifies Stacksync of record changes through webhook events. Webhooks — Paylocity POSTs Employee New Hire, Employee Change, Termination, Payroll Processed, and Time Off Approval events to a callback URL.

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.
  • Paylocity: 25 requests per second (1,500 per minute); exceeding it returns HTTP 429. Every path is scoped to a Paylocity-assigned companyId (a company code, not a UUID).
What ships with Firebase ⇄ Paylocity

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Firebase or Paylocity 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 Paylocity record.

Observability

Monitoring

Track your Firebase ⇄ Paylocity 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 Paylocity.

How the Firebase and Paylocity 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

Paylocity

Integration surface
REST API (v1 and v2), JSON payloads
Authentication
OAuth 2.0 client credentials via the Paylocity Identity Provider (/IdentityServer/connect/token) with the WebLinkAPI scope; access tokens expire after one hour and API access must be enabled by Paylocity for the company
Change detection
Webhooks — Paylocity POSTs Employee New Hire, Employee Change, Termination, Payroll Processed, and Time Off Approval events to a callback URL; payloads carry only companyId and employeeId, so the receiver calls the relevant API to fetch changed values. Scheduled polling is used for objects without webhooks.
Capabilities
read · write · webhooks
Rate limits
25 requests per second (1,500 per minute); exceeding it returns HTTP 429. Every path is scoped to a Paylocity-assigned companyId (a company code, not a UUID).
How it works

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

    Choose tables

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

Firebase and Paylocity 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 Paylocity.

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