Two-way sync
Changes in ClickHouse or Paylocity instantly reflect in both systems. No stale data, no manual imports.
Keep ClickHouse 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.
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 ClickHouse next to everything else the company measures.
Stacksync syncs Direct Deposit, Pay Statements, Company Codes, Custom Fields from Paylocity into tables in ClickHouse continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in ClickHouse, 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.
Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.
A continuously synced copy in ClickHouse gives you a durable, queryable record of how Paylocity's records change over time, for headcount planning and audit questions.
Segments, rollups, or risk flags computed in ClickHouse sync back onto the matching records in Paylocity, where the HR team sees them in the system they already use.
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.
| ClickHouse objects | Paylocity objects | How this pairing syncs | |
|---|---|---|---|
| Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. | 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. | Dictionaries is specific to ClickHouse and Deductions (Pay Setup) to Paylocity — each maps to any object or custom field on the other side. | |
| Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. | 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 (MergeTree family) is specific to ClickHouse and Earnings (Pay Setup) to Paylocity — each maps to any object or custom field on the other side. | |
| Databases Namespaces that group tables and scope permissions for sync users. | 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. | Databases is specific to ClickHouse and Local and State Taxes to Paylocity — each maps to any object or custom field on the other side. | |
| Views Saved queries used as curated, read-only sync sources. | 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. | Views is specific to ClickHouse and Direct Deposit to Paylocity — each maps to any object or custom field on the other side. | |
| Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. | 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. | Materialized views is specific to ClickHouse and Pay Statements to Paylocity — each maps to any object or custom field on the other side. | |
| Distributed tables Query-routing tables over cluster shards in self-managed deployments. | Company Codes Read-only reference codes and descriptions (cost centers, departments, positions) used to validate field mappings on employee writes. | Distributed tables is specific to ClickHouse and Company Codes 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 ClickHouse for changes on an incremental schedule, reading only records changed since the previous pass. No log-based CDC for consumers.
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 ClickHouse as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every ClickHouse–Paylocity connection.
Changes in ClickHouse or Paylocity instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever ClickHouse 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 ClickHouse or Paylocity record.
Track your ClickHouse ⇄ Paylocity sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between ClickHouse 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 ClickHouse 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 ClickHouse 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 ClickHouse and Paylocity: authenticate both systems, choose the objects to sync (such as ClickHouse's Dictionaries and Tables (MergeTree family)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed ClickHouse and Paylocity connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom ClickHouse–Paylocity integration in-house.
Yes — Stacksync ships production-grade connectors for both ClickHouse and Paylocity. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on ClickHouse: No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source. 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.
On the ClickHouse side: Tables (MergeTree family), Databases, Views, Materialized views, plus custom fields where ClickHouse exposes them. On the Paylocity side: Direct Deposit, Pay Statements, Company Codes, Custom Fields. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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 540 integrations available for ClickHouse and Paylocity.