Real-time
Two-way sync
Changes in Jdbc or Paylocity instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Human resources
Jdbc to Paylocity integration — real-time, two-way sync
Keep Jdbc 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Jdbc and Paylocity
Put your workforce data where your apps can reach it: Jdbc 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. Jdbc 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 Columns, Primary keys & indexes, Schemas & catalogs, Stored procedures & functions in Jdbc 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 keys & indexes, Schemas & catalogs, Stored procedures & functions in Jdbc 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 Connect a niche or legacy RDBMS that has no dedicated Stacksync connector but ships a JDBC driver, using its JDBC URL to sync it two-way.
- 02 Incrementally sync a high-volume table by polling an updated_at or auto-increment column, keeping a downstream store fresh without full reloads.
- 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
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
Onboarding, Deductions (Pay Setup), Earnings (Pay Setup), Local and State Taxes replicate into Jdbc 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 Jdbc, so hierarchy-driven logic and permissions don't drift.
What you can sync between Jdbc 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.
| Jdbc objects | Paylocity objects | How this pairing syncs | |
|---|---|---|---|
| Stored procedures & functions Server-side routines callable via JDBC CallableStatement; invoked for custom read or write logic when a table-level mapping is not enough. | Custom Fields Read-only company-specific custom fields returned by category, used to enrich the employee record downstream. | Stored procedures & functions is specific to Jdbc and Custom Fields to Paylocity — each maps to any object or custom field on the other side. | |
| Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. | 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 is specific to Jdbc and Employees to Paylocity — each maps to any object or custom field on the other side. | |
| Tables The base relational tables in the target database; synced two-way as rows over SQL, with each table's primary key driving upserts and row-level updates. | 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. | Tables is specific to Jdbc and Onboarding to Paylocity — each maps to any object or custom field on the other side. | |
| Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. | 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. | Views is specific to Jdbc and Deductions (Pay Setup) to Paylocity — each maps to any object or custom field on the other side. | |
| Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. | 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. | Columns is specific to Jdbc and Earnings (Pay Setup) to Paylocity — each maps to any object or custom field on the other side. | |
| Primary keys & indexes Key and index definitions read via DatabaseMetaData; the primary key is required for reliable upserts, and indexes on the cursor column keep incremental polling fast. | 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. | Primary keys & indexes is specific to Jdbc and Local and State Taxes to Paylocity — each maps to any object or custom field on the other side. |
How changes propagate between Jdbc 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.
Jdbc Paylocity Interval-based propagation
DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.
DeliveryEach detected change is written to Paylocity through its API, with automatic retries and rate-limit backoff.
Paylocity Jdbc 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 Jdbc as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Jdbc: No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
- 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 Jdbc ⇄ Paylocity
Connect Jdbc and Paylocity for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jdbc–Paylocity connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Jdbc 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 Jdbc or Paylocity record.
Observability
Monitoring
Track your Jdbc ⇄ Paylocity sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Jdbc and Paylocity.
How the Jdbc and Paylocity connectors work
Jdbc
- Integration surface
- JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db.
- Authentication
- A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver.
- Change detection
- No native change feed. Incremental sync polls a cursor column - an updated_at timestamp or an auto-incrementing key - to pull new and changed rows; detecting deletes needs soft-delete flags or database triggers writing to a shadow table. No webhooks.
- Capabilities
- read · write
- Rate limits
- No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
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 Jdbc 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.
- 01
Connect your apps
Authenticate Jdbc 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.
Jdbc
connected
Paylocity
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Jdbc 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.
objects · Jdbc ⇄ PaylocityCustomers 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.
Jdbc PaylocityCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Jdbc and Paylocity integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Jdbc and Paylocity: authenticate both systems, choose the objects to sync (such as Jdbc's Stored procedures & functions and Sequences), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Jdbc: Each synced table needs a primary key for reliable upserts and row-level updates; keyless tables require a synthetic key or a full-table comparison. 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 Jdbc and Paylocity without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Jdbc and Paylocity records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Jdbc and Paylocity connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Jdbc–Paylocity integration in-house.
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Yes — Stacksync ships production-grade connectors for both Jdbc and Paylocity. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Jdbc: No native change feed. Incremental sync polls a cursor column - an updated_at timestamp or an auto-incrementing key - to pull new and changed rows; detecting deletes needs soft-delete flags or database triggers writing to a shadow table. No webhooks. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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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