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Human resources ⇄ Database

Paylocity to Scaleway Postgres integration — real-time, two-way sync

Keep Paylocity and Scaleway Postgres 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 Scaleway Postgres

Put your workforce data where your apps can reach it: Scaleway Postgres 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. Scaleway Postgres is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Deductions (Pay Setup), Earnings (Pay Setup), Local and State Taxes, Direct Deposit in Paylocity need to exist as queryable Schemas, Sequences, Columns, Tables in Scaleway Postgres 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 Schemas, Sequences, Columns, Tables in Scaleway Postgres with Deductions (Pay Setup), Earnings (Pay Setup), Local and State Taxes, Direct Deposit 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 Run a two-way sync between Scaleway Postgres and SaaS tools so edits made in either system converge on the same rows
  • 02 Replicate the application database into a warehouse for analytics without writing custom pipelines
  • 03 Read Pay Statements and Direct Deposit allocations into a Postgres or warehouse database for labor-cost, GL, and headcount reporting in SQL.
  • 04 React to the Employee Change webhook to pull the updated Employee record and propagate title, location, or manager changes to downstream apps within minutes.

Common sync patterns

Mirror people records into the database

Records maintained in Paylocity land as queryable Schemas, Sequences, Columns, Tables in Scaleway Postgres, 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

Deductions (Pay Setup), Earnings (Pay Setup), Local and State Taxes, Direct Deposit replicate into Scaleway Postgres where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.

What you can sync between Paylocity and Scaleway Postgres

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 Scaleway Postgres 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. Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. Company Codes is specific to Paylocity and Materialized views to Scaleway Postgres — 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. Schemas Namespace tables so multiple applications or environments can be synced selectively. Custom Fields is specific to Paylocity and Schemas to Scaleway Postgres — 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. Sequences Generate primary keys; sync tooling must respect them when writing rows. Employees is specific to Paylocity and Sequences to Scaleway Postgres — 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. Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. Onboarding is specific to Paylocity and Columns to Scaleway Postgres — 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. Tables Primary sync unit; each table maps to an object or table on the other side of the sync. Deductions (Pay Setup) is specific to Paylocity and Tables to Scaleway Postgres — 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. Views Read-only sources for shaping data before it leaves the database. Earnings (Pay Setup) is specific to Paylocity and Views to Scaleway Postgres — each maps to any object or custom field on the other side.

How changes propagate between Paylocity and Scaleway Postgres

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 Scaleway Postgres 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 Scaleway Postgres as a row-level write, with types converted between the two schemas.

Scaleway Postgres Paylocity Sub-second propagation

DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.

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).
  • Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
What ships with Paylocity ⇄ Scaleway Postgres

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Paylocity or Scaleway Postgres 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 Scaleway Postgres record.

Observability

Monitoring

Track your Paylocity ⇄ Scaleway Postgres 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 Scaleway Postgres.

How the Paylocity and Scaleway Postgres 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).

Scaleway Postgres

Integration surface
SQL wire protocol (PostgreSQL)
Authentication
Database credentials (username/password over TLS)
Change detection
Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling
Capabilities
read · write · CDC
Rate limits
Throughput is bounded by instance size and connection limits rather than API quotas
How it works

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

    Choose tables

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

Paylocity and Scaleway Postgres 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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 443 integrations available for Paylocity and Scaleway Postgres.

Popular · 7 of 443
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