Two-way sync
Changes in DuckDB or Paylocity instantly reflect in both systems. No stale data, no manual imports.
Keep DuckDB 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.
Paylocity is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. DuckDB is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Employees, Onboarding, Deductions (Pay Setup), Earnings (Pay Setup) in Paylocity need to exist as queryable Attached databases, Database files, Schemas, Tables in DuckDB 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 Attached databases, Database files, Schemas, Tables in DuckDB with Employees, Onboarding, Deductions (Pay Setup), Earnings (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.
Values assembled or corrected in DuckDB write onto the matching record in Paylocity where those fields are writable, keeping the people system enriched.
Records maintained in Paylocity land as queryable Attached databases, Database files, Schemas, Tables in DuckDB, so internal apps and dashboards read live data instead of a periodic export.
When a person record is added, changed, or deactivated in either system, the matching row in the other stays current, ending dual maintenance.
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.
| DuckDB objects | Paylocity objects | How this pairing syncs | |
|---|---|---|---|
| Views SQL views used to shape or filter data for downstream consumers. | Company Codes Read-only reference codes and descriptions (cost centers, departments, positions) used to validate field mappings on employee writes. | Views is specific to DuckDB and Company Codes to Paylocity — each maps to any object or custom field on the other side. | |
| External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. | Custom Fields Read-only company-specific custom fields returned by category, used to enrich the employee record downstream. | External files (Parquet/CSV/JSON) is specific to DuckDB and Custom Fields to Paylocity — each maps to any object or custom field on the other side. | |
| Attached databases Additional database files or external systems attached into one session for cross-source queries. | 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. | Attached databases is specific to DuckDB and Employees to Paylocity — each maps to any object or custom field on the other side. | |
| Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. | 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. | Database files is specific to DuckDB and Onboarding to Paylocity — each maps to any object or custom field on the other side. | |
| Schemas Namespaces within a database used to organize tables in sync outputs. | 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. | Schemas is specific to DuckDB and Deductions (Pay Setup) to Paylocity — each maps to any object or custom field on the other side. | |
| Tables Columnar tables created via SQL; the destination for materialized sync data. | 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. | Tables is specific to DuckDB and Earnings (Pay Setup) to Paylocity — each maps to any object or custom field on the other side. |
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.
DetectionStacksync polls DuckDB for changes on an incremental schedule, reading only records changed since the previous pass. Polling or full re-reads.
DeliveryEach detected change is written to Paylocity through its API, with automatic retries and rate-limit backoff.
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 DuckDB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DuckDB–Paylocity connection.
Changes in DuckDB or Paylocity instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever DuckDB or Paylocity data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single DuckDB or Paylocity record.
Track your DuckDB ⇄ Paylocity sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between DuckDB and Paylocity.
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.
Authenticate DuckDB 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.
Pick the DuckDB 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between DuckDB and Paylocity: authenticate both systems, choose the objects to sync (such as DuckDB's Views and External files (Parquet/CSV/JSON)), map fields visually, and changes propagate both ways in milliseconds — no code required.
DuckDB: Concurrency is single-writer: one process holds write access to a database file at a time, which shapes how sync jobs schedule writes. Paylocity: Webhook payloads contain only companyId and employeeId with no field-level diff, so a sync must call the Employee, Deduction, or Earning endpoints after each notification to read the changed values. Stacksync's field mapping accounts for these differences between DuckDB and Paylocity without custom code.
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 DuckDB and Paylocity records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed DuckDB and Paylocity connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom DuckDB–Paylocity integration in-house.
Yes — Stacksync ships production-grade connectors for both DuckDB and Paylocity. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on DuckDB: Polling or full re-reads; no change feed or transaction log API. 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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
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Every pair below is a real-time, two-way sync. Search all 448 integrations available for DuckDB and Paylocity.