Real-time
Two-way sync
Changes in Paylocity or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Human resources ⇄ Database
Paylocity to Postgres Heroku integration — real-time, two-way sync
Keep Paylocity and Postgres Heroku 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
Case study
Migrated from MuleSoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Paylocity and Postgres Heroku
Put your workforce data where your apps can reach it: Postgres Heroku 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. Postgres Heroku is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Onboarding, Deductions (Pay Setup), Earnings (Pay Setup), Local and State Taxes in Paylocity need to exist as queryable Materialized Views, Schemas, Primary and Unique Keys, JSONB Columns in Postgres Heroku 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 Materialized Views, Schemas, Primary and Unique Keys, JSONB Columns in Postgres Heroku with Onboarding, Deductions (Pay Setup), Earnings (Pay Setup), Local and State Taxes 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 Heroku Postgres into a warehouse for reporting without running ETL dynos
- 02 Keep several Heroku app databases aligned with one system of record
- 03 Upsert recurring Deductions and Earnings on employee records when benefits or 401(k) elections change in a benefits admin system, without re-keying payroll setup.
- 04 Read Pay Statements and Direct Deposit allocations into a Postgres or warehouse database for labor-cost, GL, and headcount reporting in SQL.
Common sync patterns
Org and structure stay aligned
Groups, departments, managers, and reporting lines from Paylocity stay consistent in Postgres Heroku, so hierarchy-driven logic and permissions don't drift.
Computed and operational fields flow back
Values assembled or corrected in Postgres Heroku write onto the matching record in Paylocity where those fields are writable, keeping the people system enriched.
Mirror people records into the database
Records maintained in Paylocity land as queryable Materialized Views, Schemas, Primary and Unique Keys, JSONB Columns in Postgres Heroku, so internal apps and dashboards read live data instead of a periodic export.
What you can sync between Paylocity and Postgres Heroku
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 | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| Company Codes Read-only reference codes and descriptions (cost centers, departments, positions) used to validate field mappings on employee writes. | Sequences Generate surrogate keys for rows created by inbound syncs. | Company Codes is specific to Paylocity and Sequences to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Custom Fields Read-only company-specific custom fields returned by category, used to enrich the employee record downstream. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Custom Fields is specific to Paylocity and Follower Databases to Postgres Heroku — 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 Standard Postgres tables; the primary two-way sync target for app data. | Employees is specific to Paylocity and Tables to Postgres Heroku — 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 exposed to outbound syncs. | Onboarding is specific to Paylocity and Views to Postgres Heroku — 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 refresh. | Deductions (Pay Setup) is specific to Paylocity and Materialized Views to Postgres Heroku — 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 Postgres Heroku — each maps to any object or custom field on the other side. |
How changes propagate between Paylocity and Postgres Heroku
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 Postgres Heroku 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 Postgres Heroku as a row-level write, with types converted between the two schemas.
Postgres Heroku Paylocity Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
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).
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Paylocity ⇄ Postgres Heroku
Connect Paylocity and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Paylocity–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Paylocity or Postgres Heroku 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 Postgres Heroku record.
Observability
Monitoring
Track your Paylocity ⇄ Postgres Heroku 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 Postgres Heroku.
How the Paylocity and Postgres Heroku 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).
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect Paylocity to Postgres Heroku — 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 Postgres Heroku 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
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Paylocity and Postgres Heroku 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 ⇄ Postgres HerokuCustomers 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 Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Paylocity and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Paylocity and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Paylocity's Company Codes and Custom Fields), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Postgres Heroku side: Materialized Views, Schemas, Primary and Unique Keys, JSONB Columns, plus custom fields where Postgres Heroku exposes them. On the Paylocity side: Onboarding, Deductions (Pay Setup), Earnings (Pay Setup), Local and State Taxes. 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.
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Common patterns for Paylocity and Postgres Heroku: Org and structure stay aligned; Computed and operational fields flow back; Mirror people records into the database. Groups, departments, managers, and reporting lines from Paylocity stay consistent in Postgres Heroku, so hierarchy-driven logic and permissions don't drift.
-
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. Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. Stacksync manages authentication, retries, and rate limits on both sides.
-
Postgres Heroku: Heroku Postgres is standard PostgreSQL, so any Postgres client, driver, or SQL tool connects unchanged. Paylocity: API access is not on by default — Paylocity must enable the integration for the company and issue OAuth client credentials, and access tokens expire after one hour. Stacksync's field mapping accounts for these differences between Paylocity and Postgres Heroku without custom code.
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
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Postgres Heroku ⇄ Success Factors
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