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Database ⇄ Human resources

AWS Aurora MySQL to Paylocity integration — real-time, two-way sync

Keep AWS Aurora MySQL 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 AWS Aurora MySQL and Paylocity

Put your workforce data where your apps can reach it: AWS Aurora MySQL 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. AWS Aurora MySQL is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Custom Fields, Employees, Onboarding, Deductions (Pay Setup) in Paylocity need to exist as queryable Views, Foreign keys, Stored procedures and triggers, Databases (schemas) in AWS Aurora MySQL 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 Views, Foreign keys, Stored procedures and triggers, Databases (schemas) in AWS Aurora MySQL with Custom Fields, Employees, Onboarding, Deductions (Pay Setup) 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 a production Aurora cluster with an analytics database while filtering out sensitive columns.
  • 02 Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
  • 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

Computed and operational fields flow back

Values assembled or corrected in AWS Aurora MySQL 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 Views, Foreign keys, Stored procedures and triggers, Databases (schemas) in AWS Aurora MySQL, 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 AWS Aurora MySQL 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.

AWS Aurora MySQL objects Paylocity objects How this pairing syncs
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. 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. Databases (schemas) is specific to AWS Aurora MySQL and Earnings (Pay Setup) to Paylocity — each maps to any object or custom field on the other side.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. 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. Tables is specific to AWS Aurora MySQL and Local and State Taxes to Paylocity — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Direct Deposit Read-only: Get All Direct Deposit and Get Employee Bank Accounts return main and additional allocations. Bank details cannot be written through the API. Rows is specific to AWS Aurora MySQL and Direct Deposit to Paylocity — each maps to any object or custom field on the other side.
Columns MySQL data types are mapped to the paired system's field types during schema setup. 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. Columns is specific to AWS Aurora MySQL and Pay Statements to Paylocity — each maps to any object or custom field on the other side.
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Company Codes Read-only reference codes and descriptions (cost centers, departments, positions) used to validate field mappings on employee writes. Primary keys and indexes is specific to AWS Aurora MySQL and Company Codes to Paylocity — each maps to any object or custom field on the other side.
Views Can serve as read-only sync sources for derived or filtered datasets. Custom Fields Read-only company-specific custom fields returned by category, used to enrich the employee record downstream. Views is specific to AWS Aurora MySQL and Custom Fields to Paylocity — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora MySQL 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.

AWS Aurora MySQL Paylocity Sub-second propagation

DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.

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

Paylocity AWS Aurora MySQL 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 AWS Aurora MySQL as a row-level write, with types converted between the two schemas.

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).
What ships with AWS Aurora MySQL ⇄ Paylocity

Connect AWS Aurora MySQL and Paylocity for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora MySQL 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 AWS Aurora MySQL or Paylocity record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Paylocity sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and Paylocity.

How the AWS Aurora MySQL and Paylocity connectors work

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
Capabilities
read · write · CDC

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 AWS Aurora MySQL 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 AWS Aurora MySQL 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
    AWS Aurora MySQL connected
    Paylocity connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL 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 · AWS Aurora MySQL ⇄ 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
    AWS Aurora MySQL Paylocity
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL 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 450 integrations available for AWS Aurora MySQL and Paylocity.

Popular · 7 of 450
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