Real-time
Two-way sync
Changes in Paylocity or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Human resources ⇄ Database
Paylocity to PostgreSQL integration — real-time, two-way sync
Keep Paylocity and PostgreSQL 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 Paylocity and PostgreSQL
Put your workforce data where your apps can reach it: PostgreSQL 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. PostgreSQL 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 Custom Types and Enums, Tables, Views, Materialized Views in PostgreSQL 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 Custom Types and Enums, Tables, Views, Materialized Views in PostgreSQL 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 Consolidate data from several microservice databases into one operational Postgres store
- 02 Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts
- 03 React to the Employee Change webhook to pull the updated Employee record and propagate title, location, or manager changes to downstream apps within minutes.
- 04 Two-way sync of Employees between Paylocity and an HRIS or identity provider so new hires, terminations, and demographic edits flow both directions.
Common sync patterns
Reporting and analytics on current data
Direct Deposit, Pay Statements, Company Codes, Custom Fields replicate into PostgreSQL where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.
Org and structure stay aligned
Groups, departments, managers, and reporting lines from Paylocity stay consistent in PostgreSQL, so hierarchy-driven logic and permissions don't drift.
Computed and operational fields flow back
Values assembled or corrected in PostgreSQL write onto the matching record in Paylocity where those fields are writable, keeping the people system enriched.
What you can sync between Paylocity and PostgreSQL
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.
| Paylocity objects | PostgreSQL objects | How this pairing syncs | |
|---|---|---|---|
| Custom Fields Read-only company-specific custom fields returned by category, used to enrich the employee record downstream. | Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. | Custom Fields is specific to Paylocity and Custom Types and Enums to PostgreSQL — each maps to any object or custom field on the other side. | |
| 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. | Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. | Employees is specific to Paylocity and Tables to PostgreSQL — each maps to any object or custom field on the other side. | |
| 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. | Views Read-side projections used to expose joined or filtered data to a sync. | Onboarding is specific to Paylocity and Views to PostgreSQL — each maps to any object or custom field on the other side. | |
| 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. | Materialized Views Precomputed result sets synced outward on a refresh schedule. | Deductions (Pay Setup) is specific to Paylocity and Materialized Views to PostgreSQL — each maps to any object or custom field on the other side. | |
| Earnings (Pay Setup) Recurring earning codes at the employee level; two-way via Upsert Earning and Delete, with Get All Earnings and Get by earning code for reads. | Schemas Namespaces that scope which tables a sync reads and writes. | Earnings (Pay Setup) is specific to Paylocity and Schemas to PostgreSQL — each maps to any object or custom field on the other side. | |
| Local and State Taxes Two-way via Create/Update/Delete Local Tax and Upsert Primary / Non-Primary State Tax; Get by tax code and Get All for reads. | Columns Field-level mapping targets; types are mapped to the connected system's field types. | Local and State Taxes is specific to Paylocity and Columns to PostgreSQL — each maps to any object or custom field on the other side. |
How changes propagate between Paylocity and PostgreSQL
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.
Paylocity PostgreSQL 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 applied to PostgreSQL as a row-level write, with types converted between the two schemas.
PostgreSQL Paylocity Sub-second propagation
DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.
DeliveryEach detected change is written to Paylocity through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- 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).
- PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Paylocity ⇄ PostgreSQL
Connect Paylocity and PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Paylocity–PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Paylocity or PostgreSQL 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 Paylocity or PostgreSQL record.
Observability
Monitoring
Track your Paylocity ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Paylocity and PostgreSQL.
How the Paylocity and PostgreSQL connectors work
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).
PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL frontend/backend protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
- Change detection
- Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
How it works
How to connect Paylocity to PostgreSQL — 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 Paylocity and PostgreSQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Paylocity
connected
PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Paylocity and PostgreSQL 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 · Paylocity ⇄ PostgreSQLCustomers 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.
Paylocity PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Paylocity and PostgreSQL integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Paylocity and PostgreSQL: authenticate both systems, choose the objects to sync (such as Paylocity's Custom Fields and Employees), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Change detection on Paylocity: 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. On PostgreSQL: Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the PostgreSQL side: Custom Types and Enums, Tables, Views, Materialized Views, plus custom fields where PostgreSQL exposes them. On the Paylocity side: Direct Deposit, Pay Statements, Company Codes, Custom Fields. Stacksync auto-detects both schemas and converts types between the two systems.
-
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.
-
Common patterns for Paylocity and PostgreSQL: Reporting and analytics on current data; Org and structure stay aligned; Computed and operational fields flow back. Direct Deposit, Pay Statements, Company Codes, Custom Fields replicate into PostgreSQL where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.
-
Paylocity: 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. PostgreSQL: SQL wire protocol (PostgreSQL frontend/backend protocol). Authentication: Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user. Stacksync manages authentication, retries, and rate limits on both sides.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 545 integrations available for Paylocity and PostgreSQL.
Popular · 8 of 545
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Paylocity ⇄ VoltDB -
Paylocity ⇄ YugabyteDB -
Paylocity ⇄ Amazon DynamoDB -
Paylocity ⇄ Reltio -
PostgreSQL ⇄ Jobvite -
PostgreSQL ⇄ Lever -
PostgreSQL ⇄ Namely -
PostgreSQL ⇄ Ukg Ready
No integrations match .
