Skip to content
Database ⇄ Human resources

Amazon RDS to Paylocity integration — real-time, two-way sync

Keep Amazon RDS 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.

  • 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
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Amazon RDS and Paylocity

Put your workforce data where your apps can reach it: Amazon RDS 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. Amazon RDS is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Company Codes, Custom Fields, Employees, Onboarding in Paylocity need to exist as queryable Columns, Primary and Unique Keys, Read Replicas, Stored Procedures in Amazon RDS 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 Columns, Primary and Unique Keys, Read Replicas, Stored Procedures in Amazon RDS with Company Codes, Custom Fields, Employees, Onboarding 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 master data (customers, products, pricing) from an ERP into the RDS databases that power customer-facing apps
  • 02 Use a read replica as the sync source to keep change capture load off the primary instance
  • 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

Computed and operational fields flow back

Values assembled or corrected in Amazon RDS 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 Columns, Primary and Unique Keys, Read Replicas, Stored Procedures in Amazon RDS, 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 Amazon RDS 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.

Amazon RDS objects Paylocity objects How this pairing syncs
Schemas Namespaces within a database used to isolate synced tables. Company Codes Read-only reference codes and descriptions (cost centers, departments, positions) used to validate field mappings on employee writes. Schemas is specific to Amazon RDS and Company Codes to Paylocity — each maps to any object or custom field on the other side.
Tables The core sync target; rows map to records in connected SaaS systems. Custom Fields Read-only company-specific custom fields returned by category, used to enrich the employee record downstream. Tables is specific to Amazon RDS and Custom Fields to Paylocity — each maps to any object or custom field on the other side.
Views Read-side projections exposed to outbound syncs. 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. Views is specific to Amazon RDS and Employees to Paylocity — each maps to any object or custom field on the other side.
Columns Field-level mapping targets, typed per the underlying engine. 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 is specific to Amazon RDS and Onboarding to Paylocity — each maps to any object or custom field on the other side.
Primary and Unique Keys Match keys for idempotent upserts. 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. Primary and Unique Keys is specific to Amazon RDS and Deductions (Pay Setup) to Paylocity — each maps to any object or custom field on the other side.
Read Replicas Low-impact read endpoints often used as the source side of a sync. 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. Read Replicas is specific to Amazon RDS and Earnings (Pay Setup) to Paylocity — each maps to any object or custom field on the other side.

How changes propagate between Amazon RDS 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.

Amazon RDS Paylocity Sub-second propagation

DetectionChanges in Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.

DeliveryEach detected change is written to Paylocity through its API, with automatic retries and rate-limit backoff.

Paylocity Amazon RDS 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 Amazon RDS as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon RDS: No API rate limits; throughput depends on instance class, storage IOPS, and connection 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 Amazon RDS ⇄ Paylocity

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon RDS 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 Amazon RDS or Paylocity record.

Observability

Monitoring

Track your Amazon RDS ⇄ Paylocity sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon RDS and Paylocity.

How the Amazon RDS and Paylocity connectors work

Amazon RDS

Integration surface
SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle)
Authentication
Database credentials over SSL/TLS, or IAM database authentication on supported engines
Change detection
Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput depends on instance class, storage IOPS, and connection 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 Amazon RDS 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 Amazon RDS 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
    Amazon RDS connected
    Paylocity connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon RDS 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 · Amazon RDS ⇄ 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
    Amazon RDS Paylocity
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Amazon RDS 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.

Learn more about security
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:

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 454 integrations available for Amazon RDS and Paylocity.

Popular · 8 of 454
All Amazon RDS integrations All Paylocity integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own