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Data warehouse ⇄ Human resources

Apache Druid to Paylocity integration — real-time, two-way sync

Keep Apache Druid 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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Why teams connect Apache Druid and Paylocity

Land the people and organization records from Paylocity in Apache Druid as live tables for workforce reporting, without extract jobs, and write computed results back where Paylocity can use them.

Workforce data is some of the most requested data in the warehouse and some of the most awkward to move: the record types are many, the fields carry sensitive personal information, the APIs are strict, and hand-built extract jobs go stale or break quietly. Whether Paylocity is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in Apache Druid next to everything else the company measures.

Stacksync syncs Local and State Taxes, Direct Deposit, Pay Statements, Company Codes from Paylocity into tables in Apache Druid continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Apache Druid, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in Paylocity where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.

Common use cases

  • 01 Keep lookup tables in Druid refreshed from a CRM or database so query-time joins use current reference data.
  • 02 Expose product telemetry stored in Druid to business tools without granting direct cluster access.
  • 03 Push hired candidates from an ATS into Paylocity via the Onboarding endpoint, then read Onboarding Status to confirm the record before the first payroll run.
  • 04 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.

Common sync patterns

HR data in the warehouse, minus the pipeline

People and organization records from Paylocity arrive in Apache Druid as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.

Headcount and cost joined with everything else

Analysts combine Paylocity's workforce records with finance, product, or operational data already in Apache Druid for reporting the HR system cannot produce on its own.

Fresh data instead of last night's load

Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.

What you can sync between Apache Druid 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.

Apache Druid objects Paylocity objects How this pairing syncs
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. Company Codes Read-only reference codes and descriptions (cost centers, departments, positions) used to validate field mappings on employee writes. Datasources is specific to Apache Druid and Company Codes to Paylocity — each maps to any object or custom field on the other side.
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Custom Fields Read-only company-specific custom fields returned by category, used to enrich the employee record downstream. Segments is specific to Apache Druid and Custom Fields to Paylocity — each maps to any object or custom field on the other side.
Dimensions String and categorical columns used for filtering and grouping in synced 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. Dimensions is specific to Apache Druid and Employees to Paylocity — each maps to any object or custom field on the other side.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. 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. Metrics is specific to Apache Druid and Onboarding to Paylocity — each maps to any object or custom field on the other side.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. 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. Ingestion Supervisors is specific to Apache Druid and Deductions (Pay Setup) to Paylocity — each maps to any object or custom field on the other side.
Lookups Key-value mappings joined at query time, refreshable from external systems. 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. Lookups is specific to Apache Druid and Earnings (Pay Setup) to Paylocity — each maps to any object or custom field on the other side.

How changes propagate between Apache Druid 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.

Apache Druid Paylocity Interval-based propagation

DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.

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

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

Rate-limit considerations

  • Apache Druid: No fixed API quotas; query concurrency is bounded by broker and historical node capacity.
  • 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 Apache Druid ⇄ Paylocity

Connect Apache Druid and Paylocity for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid 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 Apache Druid or Paylocity record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Druid and Paylocity.

How the Apache Druid and Paylocity connectors work

Apache Druid

Integration surface
REST API (SQL over HTTP and native JSON queries); JDBC via Avatica
Authentication
Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy
Change detection
Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
Capabilities
read · write
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity

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 Apache Druid 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 Apache Druid 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
    Apache Druid connected
    Paylocity connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Druid 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 · Apache Druid ⇄ 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
    Apache Druid Paylocity
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Druid and Paylocity integration FAQ

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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 440 integrations available for Apache Druid and Paylocity.

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